961 results on '"Liang Yu"'
Search Results
2. Ion Mobility-Mass Spectrometry and its Applications in Protein Glycosylation Research
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FU Bin, LIANG Yu-ying, and LU Hao-jie1
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glycosylation ,ion mobility-mass spectrometry (im-ms) ,post-translational modifications (ptm) ,glycomics ,glycoproteomics ,Chemistry ,QD1-999 - Abstract
Glycosylation is one of the most important post-translational modifications (PTM), mediating physiological processes like cell adhesion, cell proliferation, cell signaling, and immune responses. The special functionality of glycosylation for cancer progression and metastasis were reported in recent researches. Analytical methods based on mass spectrometry (MS), especially liquid chromatography mass spectrometry (LC-MS), are the routine practices for protein glycosylation research. However, due to the high complexity and multiformity of glycan structures, as well as the existence of numerous isomers, in-depth analysis of glycosylation ends up as a major challenge for conventional LC-MS-based method. Ion mobility separation is a promising approach to fill the gap as it provides an additional separation dimension for mass spectrometry analysis based on structures and charges of the gas-phase ions. As a technology with an entirely different separation mechanism from that of liquid chromatography, ion mobility spectrometry (IM) has several properties superior to other separation facilities. First of all, unlike liquid chromatography or capillary electrophoresis which demand minutes of separation time, IM only requires a few milliseconds to finish the separation, and it is well compatible with fast mass spectrometry analysis. Besides, as a separation technique for gas phase ions, IM can be modularized and readily integrated into full-fledged LC-MS system. Most importantly, IM is proved to have great potential in glycan isomer discriminations. Given the aforementioned merits, ion mobility mass spectrometry (IM-MS) is gaining attention from glycomics community. This review summarized the basic principles of IM-MS and its applications in protein glycosylation research for the past five years. The means of enhancing isomeric separation performance of glycans were comprehensively discussed, including derivatization, forming metal and other noncovalent adducts, and utilizing high-resolution ion mobility spectrometry implementation. The various approaches of leveraging collision cross section (CCS) values to assist glycan identification and isomer discrimination were also summarized. Furthermore, as two monosaccharides with great biological and pathological significance, the IM-MS applications on fucoses and sialic acids were given special attention. As for glycopeptides, innovative spectra matching algorithms, novel ion activation techniques to facilitate glycan and peptide elucidations, and brand new quantification strategies for isomers were included, along with various glycoproteomic applications of IM-MS on biological samples. Finally, in terms of IM-MS applications in glycoprotein research, investigations of conformational properties, 3D structures, stabilities, and protein-protein interactions were covered. It was concluded that IM-MS is a promising method for protein glycosylation research with great potential.
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- 2022
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3. Dynamic Offloading Loading Optimization in Distributed Fault Diagnosis System with Deep Reinforcement Learning Approach
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Liang Yu, Qixin Guo, Rui Wang, Minyan Shi, Fucheng Yan, and Ran Wang
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mobile edge computing ,multi-terminals offloading ,mechanical fault diagnosis ,reinforcement learning ,Technology ,Engineering (General). Civil engineering (General) ,TA1-2040 ,Biology (General) ,QH301-705.5 ,Physics ,QC1-999 ,Chemistry ,QD1-999 - Abstract
Artificial intelligence and distributed algorithms have been widely used in mechanical fault diagnosis with the explosive growth of diagnostic data. A novel intelligent fault diagnosis system framework that allows intelligent terminals to offload computational tasks to Mobile edge computing (MEC) servers is provided in this paper, which can effectively address the problems of task processing delays and enhanced computational complexity. As the resources at the MEC and intelligent terminals are limited, performing reasonable resource allocation optimization can improve the performance, especially for a multi-terminals offloading system. In this study, to minimize the task computation delay, we jointly optimize the local content splitting ratio, the transmission/computation power allocation, and the MEC server selection under a dynamic environment with stochastic task arrivals. The challenging dynamic joint optimization problem is formulated as a reinforcement learning (RL) problem, which is designed as the computational offloading policies to minimize the long-term average delay cost. Two deep RL strategies, deep Q-learning network (DQN) and deep deterministic policy gradient (DDPG), are adopted to learn the computational offloading policies adaptively and efficiently. The proposed DQN strategy takes the MEC selection as a unique action while using the convex optimization approach to obtain the local content splitting ratio and the transmission/computation power allocation. Simultaneously, the actions of the DDPG strategy are selected as all dynamic variables, including the local content splitting ratio, the transmission/computation power allocation, and the MEC server selection. Numerical results demonstrate that both proposed strategies perform better than the traditional non-learning schemes. The DDPG strategy outperforms the DQN strategy in all simulation cases exhibiting minimal task computation delay due to its ability to learn all variables online.
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- 2023
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4. Uncertainty-Controlled Remaining Useful Life Prediction of Bearings with a New Data-Augmentation Strategy
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Ran Wang, Fucheng Yan, Ruyu Shi, Liang Yu, and Yingjun Deng
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remaining useful life prediction ,bearing ,long short-term memory (LSTM) ,sequence-wise uncertainty control ,Wiener process ,Technology ,Engineering (General). Civil engineering (General) ,TA1-2040 ,Biology (General) ,QH301-705.5 ,Physics ,QC1-999 ,Chemistry ,QD1-999 - Abstract
The remaining useful life (RUL) of bearings based on deep learning methods has been increasingly used. However, there are still two obstacles in deep learning RUL prediction: (1) the training process of the deep learning model requires enough data, but run-to-failure data are limited in the actual industry; (2) the mutual dependence between RUL predictions at different time instants are commonly ignored in existing RUL prediction methods. To overcome these problems, a RUL prediction method combining the data augmentation strategy and Wiener–LSTM network is proposed. First, the Sobol sampling strategy is implemented to augment run-to-failure data based on the degradation model. Then, the Wiener–LSTM model is developed for the RUL prediction of bearings. Different from the existing LSTM-based bearing RUL methods, the Wiener–LSTM model utilizes the Wiener process to represent the mutual dependence between the predicted RUL results at different time instants and embeds the Wiener process into the LSTM to control the uncertainty of the result. A joint optimization strategy is applied in the construction of the loss function. The efficacy and superiority of the proposed method are verified on a rolling bearing dataset obtained from the PRONOSTIA platform. Compared with the conventional bearing RUL prediction methods, the proposed method can effectively augment the bearing run-to-failure data and, thus, improve the prediction results. Meanwhile, fluctuations of the bearing RUL prediction result are significantly suppressed by the proposed method, and the prediction errors of the proposed method are much lower than other comparative methods.
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- 2022
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5. Accurate and Comprehensive Spectrum Characterization for Cavity-Enhanced Electro-Optic Comb Generators
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Ruitao Yang, Jinxuan Wu, Hongxing Yang, Haijin Fu, Liang Yu, Xu Xing, Yisi Dong, Pengcheng Hu, and Jiubin Tan
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optical frequency comb ,cavity resonators ,electrooptic modulation ,Chemistry ,QD1-999 - Abstract
Cavity-enhanced electro-optic comb generators (CEEOCGs) can provide optical frequency combs with excellent stability and configurability. The existing methods for CEEOCGs spectrum characterization, however, are based on approximations and have suffered from either iterative calculations or limited applicable conditions. In this paper, we show a spectrum characterization method by accumulating the optical electrical field with respect to the count of the round-trip propagation inside of CEEOCGs. The identity transformation and complete analysis of the intracavity phase delay were conducted to eliminate approximations and be applicable to arbitrary conditions, respectively. The calculation efficiency was improved by the noniterative matrix operations. Setting the maximum propagation count as 1000, the spectrum of the center ±300 comb modes can be characterized with merely the truncation error of floating-point numbers within 1.2 s. More importantly, the effects of all CEEOCG parameters were comprehensively characterized for the first time. Accordingly, not only the exact working condition of CEEOCG can be identified for further optimization, but also the power of each comb mode can be predicted accurately and efficiently for applications in optical communications and waveform synthesis.
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- 2022
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6. HLGNN-MDA: Heuristic Learning Based on Graph Neural Networks for miRNA–Disease Association Prediction
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Liang Yu, Bingyi Ju, and Shujie Ren
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miRNA–disease association ,graph neural network ,graph classification ,heuristics learning ,Biology (General) ,QH301-705.5 ,Chemistry ,QD1-999 - Abstract
Identifying disease-related miRNAs can improve the understanding of complex diseases. However, experimentally finding the association between miRNAs and diseases is expensive in terms of time and resources. The computational screening of reliable miRNA–disease associations has thus become a necessary tool to guide biological experiments. “Similar miRNAs will be associated with the same disease” is the assumption on which most current miRNA–disease association prediction methods rely; however, biased prior knowledge, and incomplete and inaccurate miRNA similarity data and disease similarity data limit the performance of the model. Here, we propose heuristic learning based on graph neural networks to predict microRNA–disease associations (HLGNN-MDA). We learn the local graph topology features of the predicted miRNA–disease node pairs using graph neural networks. In particular, our improvements to the graph convolution layer of the graph neural network enable it to learn information among homogeneous nodes and among heterogeneous nodes. We illustrate the performance of HLGNN-MDA by performing tenfold cross-validation against excellent baseline models. The results show that we have promising performance in multiple metrics. We also focus on the role of the improvements to the graph convolution layer in the model. The case studies are supported by evidence on breast cancer, hepatocellular carcinoma and renal cell carcinoma. Given the above, the experiments demonstrate that HLGNN-MDA can serve as a reliable method to identify novel miRNA–disease associations.
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- 2022
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7. An Integration Model for Flux Density Distribution Formed by a Heliostat
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Chenggang Zong, Yemao Shi, Liang Yu, Bowen Liu, and Weidong Huang
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Gaussian distribution ,direct integration method ,Fresnel’s equations ,solar flux density ,optical error ,Technology ,Engineering (General). Civil engineering (General) ,TA1-2040 ,Biology (General) ,QH301-705.5 ,Physics ,QC1-999 ,Chemistry ,QD1-999 - Abstract
An accurate flux density calculation is essential for optimizing and designing solar tower systems. Most of the existing methods introduce multiple assumptions, and the accuracy and scope of the application are limited. This paper proposes an integration model used to calculate the flux density distribution after only applying the Gaussian model for solar brightness distribution. It is the first time that multiple reflections and the influence of the optical error transferred from different planes of the glass mirror are considered in order to build an optical model for the flux density of a heliostat. The reflection from two surfaces of the glass mirror used to form three main parts of beams was considered in the present model, and Fresnel’s equations were applied to calculate the energy of the three parts of reflected rays. An elliptic Gaussian model was applied for the optical error distribution of the heliostat. The model error was evaluated using the experimental data of ten heliostats, and the applicability and accuracy of the model were verified through flux distribution and an intercept factor. The average relative prediction error of the present model from the experimental data was only 2.83%, which is less than SolTrace and other models.
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- 2022
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8. Uncertainty Quantification for Infrasound Propagation in the Atmospheric Environment
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Liang Yu, Xiaoquan Yi, Ran Wang, Chenyu Zhang, Tongdong Wang, and Xiaopeng Zhang
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uncertainty quantification ,sensitivity analysis ,Sobol index ,infrasound propagation model ,Technology ,Engineering (General). Civil engineering (General) ,TA1-2040 ,Biology (General) ,QH301-705.5 ,Physics ,QC1-999 ,Chemistry ,QD1-999 - Abstract
The propagation of infrasound in the atmosphere is influenced by atmospheric environmental parameters, which affect the precise localization of the infrasound source. Therefore, it has become crucial to quantify the influence of atmospheric environmental parameters on infrasound propagation. First, in this paper, the tau-p model is chosen as the physical model of infrasound propagation in a non-uniform moving medium. The atmospheric environmental parameters affecting infrasound propagation are determined. Secondly, the atmospheric environmental parameter distribution data are generated using the Sobol sampling method. Third, the generated atmospheric data are incorporated into the physical model of infrasound propagation to solve the output. Finally, Sobol sensitivity analysis is performed for each parameter, and the atmospheric parameter with the largest Sobol index is identified as the one with the most significant influence on infrasound propagation.
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- 2022
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9. Ferroelectricity and Piezoelectricity in 2D Van der Waals CuInP2S6 Ferroelectric Tunnel Junctions
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Tingting Jia, Yanrong Chen, Yali Cai, Wenbin Dai, Chong Zhang, Liang Yu, Wenfeng Yue, Hideo Kimura, Yingbang Yao, Shuhui Yu, Quansheng Guo, and Zhenxiang Cheng
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two-dimensional materials ,ferroelectric properties ,scanning probe microscope ,negative piezoelectricity ,phase segregation ,Chemistry ,QD1-999 - Abstract
CuInP2S6 (CIPS) is a novel two-dimensional (2D) van der Waals (vdW) ferroelectric layered material with a Curie temperature of TC~315 K, making it promising for great potential applications in electronic and photoelectric devices. Herein, the ferroelectric and electric properties of CIPS at different thicknesses are carefully evaluated by scanning probe microscopy techniques. Some defects in some local regions due to Cu deficiency lead to a CuInP2S6–In4/3P2S6 (CIPS–IPS) paraelectric phase coexisting with the CIPS ferroelectric phase. An electrochemical strain microscopy (ESM) study reveals that the relaxation times corresponding to the Cu ions and the IPS ionospheres are not the same, with a significant difference in their response to DC voltage, related to the rectification effect of the ferroelectric tunnel junction (FTJ). The electric properties of the FTJ indicate Cu+ ion migration and propose that the current flow and device performance are dynamically controlled by an interfacial Schottky barrier. The addition of the ferroelectricity of CIPS opens up applications in memories and sensors, actuators, and even spin-orbit devices based on 2D vdW heterostructures.
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- 2022
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10. On the Effects of Disc Deformation on the Tilting-Induced Vibration of a Spline-Guided Spinning Disc with an Axial-Fixed Boundary
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Jiaqi Xue, Biao Ma, Man Chen, Liang Yu, and Liangjie Zheng
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spinning disc ,deformed disc ,rigid-body tilting ,spline interface ,Technology ,Engineering (General). Civil engineering (General) ,TA1-2040 ,Biology (General) ,QH301-705.5 ,Physics ,QC1-999 ,Chemistry ,QD1-999 - Abstract
This paper investigates the effects of disc deformation on the tilting-induced vibration of a splined spinning disc with axial-fixed boundaries.The purpose is to provide an intuitive interpretation of the vibration variance of the wet clutch system with different deformed discs. First, tilting models of flat and deformed discs are derived by introducing distinctive shape functions. Additionally, the inner spline interface is chosen as the friction boundary. Then, an impact model between friction pairs and the rigid boundary is established by adopting Hertz’s contact theory. Finally, the dynamic equations are solved via numerical methods, and the responses are analyzed in both time and frequency domains. The deformation can increase the nonlinearity of the dynamic response of the spinning disc. Moreover, the effects of increasing the impulse force and reducing the boundary distance are quite similar; they both increase the motion intensity.
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- 2022
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11. Identification of D Modification Sites Using a Random Forest Model Based on Nucleotide Chemical Properties
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Huan Zhu, Chun-Yan Ao, Yi-Jie Ding, Hong-Xia Hao, and Liang Yu
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dihydrouridine ,random forest ,nucleotide chemical properties ,prediction ,oversample ,Biology (General) ,QH301-705.5 ,Chemistry ,QD1-999 - Abstract
Dihydrouridine (D) is an abundant post-transcriptional modification present in transfer RNA from eukaryotes, bacteria, and archaea. D has contributed to treatments for cancerous diseases. Therefore, the precise detection of D modification sites can enable further understanding of its functional roles. Traditional experimental techniques to identify D are laborious and time-consuming. In addition, there are few computational tools for such analysis. In this study, we utilized eleven sequence-derived feature extraction methods and implemented five popular machine algorithms to identify an optimal model. During data preprocessing, data were partitioned for training and testing. Oversampling was also adopted to reduce the effect of the imbalance between positive and negative samples. The best-performing model was obtained through a combination of random forest and nucleotide chemical property modeling. The optimized model presented high sensitivity and specificity values of 0.9688 and 0.9706 in independent tests, respectively. Our proposed model surpassed published tools in independent tests. Furthermore, a series of validations across several aspects was conducted in order to demonstrate the robustness and reliability of our model.
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- 2022
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12. Rolling Bearing Weak Fault Feature Extraction under Variable Speed Conditions via Joint Sparsity and Low-Rankness in the Cyclic Order-Frequency Domain
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Ran Wang, Chenyu Zhang, Liang Yu, Haitao Fang, and Xiong Hu
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angle-time cyclostationary signal ,sparsity and low-rankness jointly enforced model ,alternating direction method of multipliers ,rolling bearing ,fault feature extraction ,time-varying working condition ,Technology ,Engineering (General). Civil engineering (General) ,TA1-2040 ,Biology (General) ,QH301-705.5 ,Physics ,QC1-999 ,Chemistry ,QD1-999 - Abstract
Rolling bearings are critical to the normal operation of mechanical systems, which often undergo time-varying working conditions. When the local defects appear on a rolling bearing, the transient impulses will generate and be covered by the strong background noise. Therefore, extracting the rolling bearing weak fault feature with time-varying speed is critical to mechanical system diagnosis. A weak fault feature extraction strategy of rolling bearing under time-varying working conditions is proposed. Firstly, the order-frequency spectral correlation (OFSC) is computed for transferring the measured signal into a higher dimensional space. Then, the joint sparsity and low-rankness constraint is imposed on OFSC to detect the time-varying faulty characteristics. An algorithm in the alternating direction method of multipliers (ADMM) framework is derived. Finally, the enhanced envelope order spectrum (EEOS) is applied to further detect the defective features, which can make the fault features more obvious. The feasibility of the proposed method is confirmed by simulations and an experimental case.
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- 2022
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13. Biorefinery Processing of Waste to Supply Cost-Effective and Sustainable Inputs for Two-Stage Microalgal Cultivation
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Pierre C. Wensel, Mahesh Bule, Allan Gao, Manuel Raul Pelaez-Samaniego, Liang Yu, William Hiscox, Gregory L. Helms, William C. Davis, Helmut Kirchhoff, Manuel Garcia-Perez, and Shulin Chen
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biorefinery ,algae ,anaerobic digestion ,torrefaction ,enzyme hydrolysis ,food and lignocellulosic waste ,Technology ,Engineering (General). Civil engineering (General) ,TA1-2040 ,Biology (General) ,QH301-705.5 ,Physics ,QC1-999 ,Chemistry ,QD1-999 - Abstract
Overcoming obstacles to commercialization of algal-based processes for biofuels and co-products requires not just piecemeal incremental improvements, but rather a comprehensive and fundamental re-consideration starting with the selected algae and its associated cultivation, harvesting, biomass conversion, and refinement. A novel two-stage process designed to address challenges of mass outdoor microalgal cultivation for biofuels and co-products was previously demonstrated using an oleaginous, haloalkaline-tolerant, and multi-trophic green Chlorella vulgaris. ALP2 from a soda lake. This involved cultivating the microalgae in a fermenter heterotrophically or photobioreactor mixotrophically (first-stage) to rapidly obtain high cell densities and inoculate an open-pond phototrophic culture (second-stage) featuring high levels of NaHCO3, pH, and salinity. An improved two-stage cultivation that instead sustainably used as more cheap and sustainable inputs the organic carbon, nitrogen, and phosphorous from fractionation of waste was here demonstrated in a small-scale biorefinery process. The first cultivation stage consisted of two simultaneous batch flask cultures featuring (1) mixotrophic cell productivity of 7.25 × 107 cells mL−1 day−1 on BG-110 medium supplemented with 1.587 g L−1 urea and an enzymatic hydrolysate of pre-treated (torrefaction + grinding + ozonolysis + soaking ammonia) wheat-straw that corresponded to 10 g L−1 glucose, and (2) mixotrophic cell productivity of 2.25 × 107 cells mL−1 day−1 on BG-110 medium supplemented with 1.587 g L−1 urea and a purified and de-toxified condensate of pre-treated (torrefaction + grinding) wheat straw that corresponded to 0.350 g L−1 of potassium acetate. The second cultivation stage featured 1H NMR-determined phototrophic lipid productivity of 0.045 g triacylglycerides (TAG) L−1 day−1 on BG-110 medium supplemented with 16.8 g L−1 NaHCO3 and fed batch-added 22% (v/v) anaerobically digested food waste effluent at HCl-mediated pH 9.
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- 2022
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14. Influence of the Lubrication Oil Temperature on the Disengaging Dynamic Characteristics of a Cu-Based Wet Multi-Disc Clutch
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Liangjie Zheng, Biao Ma, Man Chen, Liang Yu, and Qian Wang
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wet multi-disc clutch ,disengaging process ,ATF temperature ,friction torque ,friction pair gaps ,Technology ,Engineering (General). Civil engineering (General) ,TA1-2040 ,Biology (General) ,QH301-705.5 ,Physics ,QC1-999 ,Chemistry ,QD1-999 - Abstract
Clutch disengaging dynamic characteristics, including the disengaging duration and the variations of friction pair gaps and friction torque, are crucial to the shifting control of an automatic transmission. In the present paper, the influence of lubrication oil (ATF) temperature on disengaging dynamic characteristics is investigated through a comprehensive numerical model for the clutch disengaging process, which considers the hydrodynamic lubrication, the asperity contact, the heat transfer, the spline resistance, and the impact between the piston and clutch hub. Moreover, the non-uniformity coefficient (NUC) is proposed to characterize the disengaging uniformity of friction pairs. As the ATF temperature increases from 60 °C to 140 °C, the clutch disengaging duration shortens remarkably (shortened by 55.1%); besides, the NUC sees a decreasing trend before a slight increase. When the ATF temperature is 80 °C, the distribution of friction pair gaps is most uniform. During the disengaging process, the increase of ATF temperature not only accelerates the change of the lubrication status between friction pairs but also contributes to the decrease of contact torque and hydrodynamic torque. This research demonstrates for the first time, evidence for clutch disengaging dynamic characteristics with the consideration of ATF temperature.
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- 2021
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15. Exploring Drug Treatment Patterns Based on the Action of Drug and Multilayer Network Model
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Liang Yu, Yayong Shi, Quan Zou, Shuhang Wang, Liping Zheng, and Lin Gao
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drug treatment pattern ,drug-target module ,multilayer network ,tissue specificity ,drug action ,Biology (General) ,QH301-705.5 ,Chemistry ,QD1-999 - Abstract
Some drugs can be used to treat multiple diseases, suggesting potential patterns in drug treatment. Determination of drug treatment patterns can improve our understanding of the mechanisms of drug action, enabling drug repurposing. A drug can be associated with a multilayer tissue-specific protein–protein interaction (TSPPI) network for the diseases it is used to treat. Proteins usually interact with other proteins to achieve functions that cause diseases. Hence, studying drug treatment patterns is similar to studying common module structures in multilayer TSPPI networks. Therefore, we propose a network-based model to study the treatment patterns of drugs. The method was designated SDTP (studying drug treatment pattern) and was based on drug effects and a multilayer network model. To demonstrate the application of the SDTP method, we focused on analysis of trichostatin A (TSA) in leukemia, breast cancer, and prostate cancer. We constructed a TSPPI multilayer network and obtained candidate drug-target modules from the network. Gene ontology analysis provided insights into the significance of the drug-target modules and co-expression networks. Finally, two modules were obtained as potential treatment patterns for TSA. Through analysis of the significance, composition, and functions of the selected drug-target modules, we validated the feasibility and rationality of our proposed SDTP method for identifying drug treatment patterns. In summary, our novel approach used a multilayer network model to overcome the shortcomings of single-layer networks and combined the network with information on drug activity. Based on the discovered drug treatment patterns, we can predict the potential diseases that the drug can treat. That is, if a disease-related protein module has a similar structure, then the drug is likely to be a potential drug for the treatment of the disease.
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- 2020
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16. Role of Amine Type in CO2 Separation Performance within Amine Functionalized Silica/Organosilica Membranes: A Review
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Liang Yu, Masakoto Kanezashi, Hiroki Nagasawa, and Toshinori Tsuru
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carbon dioxide separation ,organosilica membrane ,amine type ,sterical hindrance ,activation energy for permeation ,Technology ,Engineering (General). Civil engineering (General) ,TA1-2040 ,Biology (General) ,QH301-705.5 ,Physics ,QC1-999 ,Chemistry ,QD1-999 - Abstract
Various types of amine-functionalized silica/organosilica membranes have been developed due to their potentially superior CO2 separation performance. This article reviews the progress made in this field and special attention is paid to elucidating the role of amine type in CO2 separation performance within amine-functionalized silica/organosilica membranes. This review includes a systematic comparison of various organosilica membranes with either unhindered or sterically hindered amines developed in our previous studies. Herein, we thoroughly discuss the structural characterizations and CO2 adsorption/desorption properties of amine-functionalized xerogel powders and CO2 transport/separation performance across the relevant membranes. Future directions for the design and development of high-performance CO2 separation membranes are suggested, and particular attention is paid to the future of activation energies for gas permeation.
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- 2018
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17. A ratiometric fluorescent probe based on carbon dots assembly for intracellular lysosomal polarity imaging with wide range response
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Yong-Liang Yu, Shuai Chen, Guang-Yue Zou, and Nazhen Liu
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Range (particle radiation) ,Diagnostic methods ,Linear range ,Polarity (physics) ,Chemistry ,Membrane fluidity ,Biophysics ,General Chemistry ,Photobleaching ,Fluorescence ,Intracellular - Abstract
Lysosomal polarity is considered a key indicator of lysosomal function due to its significant impact on membrane fluidity and enzymatic reactions in lysosomes. Monitoring lysosomal polarity can gain insight into the related physiological and pathological processes and develop new diagnostic methods. However, current fluorescent probes with lysosomal polarity response suffer from narrow linear range, photobleaching and complicated preparation. Herein, a ratiometric fluorescent probe (r-bCDs) for intracellular lysosomal polarity imaging is designed and constructed by amide bond assembly of polarity-sensitive red fluorescent carbon dots (rCDs) and referenced blue fluorescent carbon dots (bCDs). r-bCDs show a much wider linear range of polarity response (orientation polarizability Δf from 0.020 to 0.315) than other probes, and the interference of uneven distribution and instrument factors can be effectively eliminated by ratiometric fluorescent sensing. Imaging of intracellular lysosomal polarity with r-bCDs is implemented to observe the polarity variation caused by the change of cell state and the difference between cancer cells and normal cells. This work provides a promising tool for studying the related physiological and pathological processes and developing new diagnostic methods.
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- 2022
18. Epac‐2 ameliorates spontaneous colitis in Il‐10 −/− mice by protecting the intestinal barrier and suppressing NF‐κB/MAPK signalling
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Hao Zhao, Xue Song, Zihan Zhu, Yifan Jiang, Zhikun Wang, Jing Tao, Zhijun Geng, Lin Shen, Liang Yu, Jing Li, Lugen Zuo, Jian-Guo Hu, Xiaofeng Zhang, Xiaopei Wu, Luyao Wang, Ping Xiang, Jing Nian, and Hexin Wen
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MAPK/ERK pathway ,Cell ,Inflammation ,macrophage ,chemistry.chemical_compound ,Mice ,medicine ,Animals ,Guanine Nucleotide Exchange Factors ,Humans ,Colitis ,Intestinal Mucosa ,Protein kinase A ,Intestinal permeability ,NF-kappa B ,NF-κB ,Epac‐2 ,Cell Biology ,Original Articles ,medicine.disease ,Interleukin-10 ,Mice, Inbred C57BL ,Interleukin 10 ,Crohn's disease ,intestinal barrier ,medicine.anatomical_structure ,chemistry ,TJ protein ,Cancer research ,Molecular Medicine ,Original Article ,medicine.symptom ,Caco-2 Cells ,Mitogen-Activated Protein Kinases - Abstract
Intestinal barrier dysfunction and intestinal inflammation interact in the progression of Crohn's disease (CD). A recent study indicated that Epac‐2 protected the intestinal barrier and had anti‐inflammatory effects. The present study examined the function of Epac‐2 in CD‐like colitis. Interleukin‐10 gene knockout (Il‐10 −/−) mice exhibit significant spontaneous enteritis and were used as the CD model. These mice were treated with Epac‐2 agonists (Me‐cAMP) or Epac‐2 antagonists (HJC‐0350) or were fed normally (control), and colitis and intestinal barrier structure and function were compared. A Caco‐2 and RAW 264.7 cell co‐culture system were used to analyse the effects of Epac‐2 on the cross‐talk between intestinal epithelial cells and inflammatory cells. Epac‐2 activation significantly ameliorated colitis in mice, which was indicated by reductions in the colitis inflammation score, the expression of inflammatory factors and intestinal permeability. Epac‐2 activation also decreased Caco‐2 cell permeability in an LPS‐induced cell co‐culture system. Epac‐2 activation significantly suppressed nuclear factor (NF)‐κB/mitogen‐activated protein kinase (MAPK) signalling in vivo and in vitro. Epac‐2 may be a therapeutic target for CD based on its anti‐inflammatory functions and protective effects on the intestinal barrier.
- Published
- 2021
19. A Smartphone Optical Device for Point-of-Care Testing of Glucose and Cholesterol Using Ag NPs/UiO-66-NH2-Based Ratiometric Fluorescent Probe
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Lan Guo, Jian-Hua Wang, Shuai Chen, and Yong-Liang Yu
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Fluorescence intensity ,Cholesterol oxidase ,biology ,Chemistry ,Clinical diagnosis ,Point-of-care testing ,Healthcare settings ,biology.protein ,Glucose oxidase ,Filter effect ,Fluorescence ,Analytical Chemistry ,Biomedical engineering - Abstract
Point-of-care testing (POCT) with the advantages of simplicity, rapidity, portability, and low-cost is of great importance to improve healthcare, especially in resource-limited settings and home healthcare settings. Moreover, it is a great challenge to quantitative POCT of multiplexed biomarkers within a single accessible assay but provides enhanced diagnostic accuracy and improved diagnostic efficiency. Herein, a smartphone optical device has been designed for POCT of glucose and cholesterol in metabolic syndrome patients using a ratiometric fluorescent sensor. The sensing system of Ag NPs/UiO-66-NH2 and o-phenylenediamine presents a dual-emission response to H2O2 (the main product of glucose and cholesterol catalyzed by glucose oxidase and cholesterol oxidase) on account of the inner filter effect, resulting in an increase in the response of the fluorescence intensity ratio (F555 nm/F425 nm) accompanied by a distinguishable color transition from blue to yellow green. After compositing probes with a flexible substrate, the obtained test strip can be integrated with a smartphone-based portable platform to read RGB values for accurate testing of glucose and cholesterol with both detection limits of 10 μmol L-1, which are hundreds of times lower than their concentrations in human serum. With the advantages of low-cost, ease of operation, and broad adaptability, this smartphone optical device holds great potential for portable detection of numerous targets in personalized healthcare and clinical diagnosis.
- Published
- 2021
20. Investigation in CaO–SiO2–CaF2–C slags during the sintering and melting process
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Ping Tang, Zhe Wang, Wenbo Jiang, Guanghua Wen, Liang Yu, and Gu Shaopeng
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Materials science ,chemistry ,Mechanics of Materials ,Mechanical Engineering ,Scientific method ,Metallurgy ,Materials Chemistry ,Metals and Alloys ,chemistry.chemical_element ,Sintering ,Carbon black ,Carbon - Abstract
The reaction behaviour and mechanism of carbon and mould fluxes during the heating process were deeply considered through TG-FTIR, XRD, DSC, and SEM techniques. The results showed that: there were ...
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- 2021
21. Boronic acid-containing carbon dots array for sensitive identification of glycoproteins and cancer cells
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Jian-Hua Wang, Yong-Liang Yu, Xue-Wei Zhang, and Shuai Chen
- Subjects
chemistry.chemical_classification ,Cell type ,Chemistry ,Cancer ,chemistry.chemical_element ,02 engineering and technology ,General Chemistry ,010402 general chemistry ,021001 nanoscience & nanotechnology ,Polysaccharide ,medicine.disease ,01 natural sciences ,Fluorescence ,0104 chemical sciences ,chemistry.chemical_compound ,Biochemistry ,Cancer cell ,medicine ,0210 nano-technology ,Glycoprotein ,Carbon ,Boronic acid - Abstract
Discrimination of glycoproteins and cell types is a significant but difficult issue. Herein, we presented a novel fluorescence sensor array for the detection and identification of glycoproteins and cancer cells based on the specific affinity between boronic acid-containing carbon dots (BA-CDs) and cis-diol residues of polysaccharides. The differential binding affinity of three BA-CDs to various glycoproteins resulted in a different fluorescence turn-on signal pattern caused by aggregation-enhanced emission (AEE), along with negligible response from other proteins. Therefore, BA-CDs encompassing sensing elements and signal indicator into one can enable a fast and accurate discrimination of glycoproteins with simple and easy operation. Seven glycoproteins could be well discriminated at a very low concentration of 10 nmol/L. The discriminating capability of glycoproteins is not sacrificed in both human urine and serum. Notably, different glycoprotein compositions of cancer cells provide more recognizable features for identification of cancer cells, comparing to the total protein. Five cell types could be identified in 15 min at a low concentration of 1000 cells/mL. This method is fast, accurate, and easy operation, and has a potential application in cancer diagnosis.
- Published
- 2021
22. Interactive effect of shade and PEG-induced osmotic stress on physiological responses of soybean seedlings
- Author
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Liang Yu, Xi-yu Huang, Xin Sun, Jun-bo Du, Hengke Jiang, Shakeel Imran, Bushra Ahmad, Yue-ning Yang, Ahsan Asghar Muhammad, Hui Yang, Hao Zhang, Zhao-wei Shui, Chunyan Liu, Wenyu Yang, Jing Shang, and Xi-yu Cao
- Subjects
Antioxidant ,Ecology ,Osmotic shock ,Chemistry ,medicine.medical_treatment ,fungi ,food and beverages ,social sciences ,Plant Science ,Malondialdehyde ,Biochemistry ,humanities ,chemistry.chemical_compound ,Horticulture ,Food Animals ,Chlorophyll ,medicine ,Animal Science and Zoology ,Osmoprotectant ,Shading ,Proline ,Cultivar ,Agronomy and Crop Science ,health care economics and organizations ,Food Science - Abstract
Intensively farmed crops used to experience numerous environmental stresses. Among these, shade and drought significantly influence the morpho-physiological and biochemical attributes of plants. However, the interactive effect of shade and drought on the growth and development of soybean under dense cropping systems has not been reported yet. This study investigated the interactive effect of PEG-induced osmotic stress and shade on soybean seedlings. The soybean cultivar viz., C-103 was subjected to PEG-induced osmotic stress from polyethylene glycol 6000 (PEG-6000) under shading and non-shading conditions. PEG-induced osmotic stress significantly reduced the relative water contents, morphological parameters, carbohydrates and chlorophyll contents under both light environments. A significant increase was observed in osmoprotectants, reactive oxygen species and antioxidant enzymes in soybean seedlings. Henceforth, the findings revealed that, seedlings grown under non-shading conditions produced more malondialdehyde and hydrogen peroxide contents as compared to the shade-treated plants when subjected to PEG-induced osmotic stress. Likewise, the shaded plants accumulated more sugars and proline than non-shaded ones under drought stress. Moreover, it was found that non-shaded grown plants were more sensitive to PEG-induced osmotic stress than those exposed to shading conditions, which suggested that shade could boost the protective mechanisms against osmotic stress or at least would not exaggerate the adverse effects of PEG-induced osmotic stress in soybean seedlings.
- Published
- 2021
23. Tanshinone IIA Regulates Osteoblast Differentiation and Promotes Fracture Healing via Mammalian Target of Rapamycin Complex 1 Signaling Pathway
- Author
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Wu-Liang Yu, Xing-Wu Wang, Yong-Li Wei, Ming Fang, and Jian-Meng Lu
- Subjects
medicine.anatomical_structure ,Chemistry ,Tanshinone IIA ,Biomedical Engineering ,medicine ,Medicine (miscellaneous) ,Bioengineering ,Osteoblast ,Bone healing ,mTORC1 ,Signal transduction ,Biotechnology ,Cell biology - Abstract
This study assessed the effect and potential molecular mechanism of tanshinone IIA on fracture healing. Mice model with fracture were established. Digital radiographic photographic system was used to detect callus formation after treatment with tanshinone II A (Tan IIA) and alkaline phosphatase (ALP) staining analyzed ALP activity. Osteoblast proliferation was also measured. Western blot and Quantitative real-time PCR (qRT-PCR) measured osteogenic markers expression. Compared with control group, Tan IIA treatment could increase callus formation, stimulate osteoblast proliferation, osteogenic proteins and genes expression, and activate mTORC1 signaling pathway. However, Tan IIA’s effects were significantly inhibited after rapamycin treatment. Tan IIA regulates osteoblast differentiation by mTORC1 signaling and promotes intramembranous ossification in the process of callus formation, which accelerates bone healing.
- Published
- 2021
24. Performance-enhanced and cost-effective triboelectric nanogenerator based on stretchable electrode for wearable SpO2 monitoring
- Author
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Yuxiao Zou, Hua-Liang Yu, Zhou Li, Mingqiang Wu, Wei Yang, Huizhen Ke, Ruping Liu, Jun Wang, Wenjie Li, Huamin Chen, Cheng Zhang, Yun Xu, and Longfeng Lv
- Subjects
Materials science ,Biocompatibility ,business.industry ,Nanogenerator ,chemistry.chemical_element ,Dielectric ,Condensed Matter Physics ,Atomic and Molecular Physics, and Optics ,chemistry ,PEDOT:PSS ,Electrode ,Optoelectronics ,General Materials Science ,Electrical and Electronic Engineering ,business ,Carbon ,Triboelectric effect ,Voltage - Abstract
Recently, stretchable and wearable health monitoring equipment has greatly improved human’s daily life, which sets higher demands for portable power source in stretchability, sustainability, and biocompatibility. In this work, we proposed a stretchable triboelectric nanogenerator (TENG) based on stretchable poly (3,4-ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS)/porous carbon hybrid for oxyhemoglobin saturation (SpO2) monitoring. To combine advantages of carbon material for its high conductivity and organic electrode for its high stretchability, we spin-coated a solution of PEDOT:PSS/porous carbon onto a plasma-treated pre-stretched Ecoflex film to fabricate a stretchable electrode with rough surface. Due to its roughness and high potential difference with the dielectric material, the stretchable-electrode-based TENG exhibited better performance compared to the pristine TENG based on carbon or PEDOT:PSS material. The output voltage and current reached up to 51.5 V and 13.2 µA as the carbon concentration increased. More importantly, the performance further increased under large strain (100%) which is suitable for wearable systems. Finally, the device demonstrated its application potential for powering a flexible blood oxygen monitor. This simple and cost-effective method can enhance the stretchability and stability of organic/inorganic electrode-based TENG, which paves the development of high-performance stretchable TENG.
- Published
- 2021
25. A new bioactive isocoumarin from the mangrove-derived fungus Penicillium sp. TGM112
- Author
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Shi-Ji Chen, Guo-Lei Huang, Jin Cai, Cai-Juan Zheng, Liang-Yu Chen, Chen-Xin Pan, Wei-Nv Zeng, and Bin Wang
- Subjects
Pharmacology ,Circular dichroism ,Antioxidant ,biology ,Stereochemistry ,medicine.medical_treatment ,Organic Chemistry ,Absolute configuration ,Pharmaceutical Science ,General Medicine ,Fungus ,biology.organism_classification ,Analytical Chemistry ,Isocoumarin ,chemistry.chemical_compound ,Complementary and alternative medicine ,chemistry ,Drug Discovery ,Penicillium ,medicine ,Molecular Medicine ,Mangrove ,IC50 - Abstract
A new isocoumarin, penicimarin N (1), along with five known compounds (2-6), were isolated from the mangrove-derived fungus Penicillium sp. TGM112. The structure of 1 was elucidated on the basis of extensive spectroscopic data analysis, and the absolute configuration of 1 was determined by comparison of their circular dichroism (CD) spectra with the literature. The structures of known compounds were determined by comparison with the literature data. All the isolated compounds were examined for their antioxidant and α-glucosidase activities. Compound 1 showed strong antioxidant activity with the IC50 value of 1.0 mM, and 1 also exhibited moderate inhibitory activity against α-glucosidase with the IC50 value of 620 μM.
- Published
- 2021
26. A Novel Pretreatment Device Integrating Magnetic-Assisted Dispersive Extraction and Ultrasonic Spray Separation for Speciation Analysis of Arsenic in Whole Blood by Ion Chromatography-Inductively Coupled Plasma-Mass Spectrometry
- Author
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Yong-Liang Yu, Shuang Liu, Xing Wei, Xiao Zhang, and Jian-Hua Wang
- Subjects
Detection limit ,Chromatography ,integumentary system ,Chemistry ,Magnetic Phenomena ,Extraction (chemistry) ,Ion chromatography ,chemistry.chemical_element ,Mass spectrometry ,Arsenicals ,Mass Spectrometry ,Arsenic ,Analytical Chemistry ,Matrix (chemical analysis) ,Ultrasonics ,Inductively coupled plasma mass spectrometry ,Chromatography, High Pressure Liquid ,Whole blood - Abstract
Speciation analysis of arsenic in blood is essential for identifying and quantifying the exposure of arsenic and studying the metabolism and toxicity of arsenic. Herein, a novel pretreatment device is rationally designed and used for speciation analysis of arsenic in whole blood by ion chromatography-inductively coupled plasma-mass spectrometry (IC-ICP-MS). The sample centrifuge tubes containing blood, reagents, and a magnetic stir bar are placed on the fidget spinner of the pretreatment device. When flicking the fidget spinner rotation with the finger, the magnetic stir bar in the tube rotates in three dimensions under the magnetic field, thereby assisting dispersive extraction of arsenic species by the mixing of blood with reagents. Afterward, the arsenic extract is separated in situ from the blood matrix using an ultrasonic spray sheet covered with a filter and ultrafiltration membrane, which is directly used for subsequent IC-ICP-MS analysis. For 100 μL of blood, the whole pretreatment operation can be completed within 10 min. With As(III), As(V), MMA, and DMA in blood as analytes, the use of the present pretreatment device will hardly lead to the loss and transformation of arsenic species, and the extraction efficiency of the total arsenic is more than 96%. When the pretreatment device is coupled to IC-ICP-MS, the detection limits of four arsenic species in whole blood are 0.017-0.023 μg L-1, and precisions are within 2.3-4.2%. This pretreatment device provides a simple, fast, efficient, and low-cost tool for extraction and separation of arsenic species in whole blood, opening a new idea for the pretreatment of complex samples.
- Published
- 2021
27. Theoretical and Experimental Study of 3-Pentanol Autoignition: Ab Initio Calculation, Shock Tube Experiments, and Kinetic Modeling
- Author
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Yong Qian, Liang Yu, Jizhen Zhu, Yuan Feng, Zhuoyao He, Sixu Wang, and Xingcai Lu
- Subjects
Transition state theory ,Chemistry ,Ab initio ,Thermodynamics ,Autoignition temperature ,Physical and Theoretical Chemistry ,Kinetic energy ,Shock tube ,Potential energy ,Bar (unit) ,Shock (mechanics) - Abstract
3-Pentanol is a potential alternative fuel or a green fuel additive for modern engines. The H-abstraction reactions from 3-pentanol by H, CH3, HO2, and OH radicals are significant in the 3-pentanol oxidation process. However, corresponding rate constants are forced to rely on either analogy from sec-butanol or estimation from alkanes due to a lack of direct experimental and theoretical study. In this work, stationary points on the potential energy surfaces (PESs) were calculated with the high-level DLPNO-CCSD(T)/CBS(T-Q)//M06-2X/cc-pVTZ method, which is further used to benchmark against the CBS-QB3 method. Then, the high-pressure limit rate constants for target reactions, over a broad range of temperature (400-2000 K), were calculated with the phase-space theory and conventional transition state theory. A comparison was made between the calculated rate constants and the values available in Carbonnier et al. [ Proc. Combust. Inst. 2019, 37(1), 477-484]. The rate constants for the above H-abstraction reactions in the Carbonnier model were updated with the calculated results, followed by a modification based on the computed results of 3-pentanol + HO2 to obtain the revised model. Validation against the shock tube (ST) and the jet-stirred reactor (JSR) measurements from the literature proved the revised model an optimal one. Furthermore, using an ST, ignition delay times (IDTs) for the 3-pentanol/air mixtures were measured spanning a temperature range of 920-1450 K, pressures of 6, 10, and 20 bar, and equivalence ratios of 0.5, 1.0, and 1.5. Generally, IDTs decrease with increasing temperature and reflected shock pressure. Improved predictions to present experimental data were obtained by using the revised model as compared with the Carbonnier model. Finally, sensitivity analysis was conducted using the revised model to gain an in-depth comprehension of the 3-pentanol autoignition.
- Published
- 2021
28. Nanozyme Sensor Array Plus Solvent-Mediated Signal Amplification Strategy for Ultrasensitive Ratiometric Fluorescence Detection of Exosomal Proteins and Cancer Identification
- Author
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Jian-Hua Wang, Yong-Liang Yu, Shuai Chen, Meng-Xian Liu, Xue-Wei Zhang, and He Zhang
- Subjects
Detection limit ,Chemistry ,Aptamer ,010401 analytical chemistry ,Liquid Biopsy ,Biosensing Techniques ,Exosomes ,010402 general chemistry ,01 natural sciences ,Exosome ,Photoinduced electron transfer ,Microvesicles ,0104 chemical sciences ,Analytical Chemistry ,Solvent ,Sensor array ,Limit of Detection ,Neoplasms ,Solvents ,Biophysics ,Humans ,Liquid biopsy - Abstract
Tumor exosomes with molecular marker-proteins inherited from their parent cells have emerged as a promising liquid biopsy biomarker for cancer diagnosis. However, facile, robust, and sensitive detection of exosomal proteins remains challenging. Therefore, a nanozyme sensor array is constructed by using aptamer-modified C3N4 nanosheets (Apt/C3N4 NSs) together with a solvent-mediated signal amplification strategy for ratiometric fluorescence detection of exosomal proteins. Three aptamers specific to exosomal proteins are selected to construct Apt/C3N4 NSs for high specific recognition of exosomal proteins. The adsorption of aptamers enhances the catalytic activity of C3N4 NSs as a nanozyme for oxidation of o-phenylenediamine (oPD) to 2,3-diaminophenazine (DAP). In the presence of target exosomes, the strong affinity between aptamer and exosome leads to the disintegration of Apt/C3N4 NSs, resulting in a decrease of catalytic activity, thereby reducing the production of DAP. The ratiometric fluorescence signal based on a photoinduced electron transfer (PET) effect between DAP and C3N4 NSs is dependent on the concentration of DAP generated, thus achieving highly facile and robust detection of exosomal proteins. Remarkably, the addition of organic solvent-1,4-dioxane can sensitize the luminescence of DAP without affecting the intrinsic fluorescence of C3N4 NSs, achieving the amplification of the aptamer-exosome recognition events. The detection limit for exosome is 2.5 × 103 particles/mL. In addition, the accurate identification of cancer can be achieved by machine learning algorithms to analyze the difference of exosomal proteins from different patients' blood. We hope that this facile, robust, sensitive, and versatile nanozyme sensor array would become a promising tool in the field of cancer diagnosis.
- Published
- 2021
29. Auto-ignition characteristics of a near-term light surrogate fuel for marine diesel: An experimental and modeling study
- Author
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Zhiyong Wu, Yebing Mao, Liang Yu, Xingcai Lu, and Yong Qian
- Subjects
Materials science ,020209 energy ,General Chemical Engineering ,General Physics and Astronomy ,Energy Engineering and Power Technology ,Thermodynamics ,Autoignition temperature ,02 engineering and technology ,General Chemistry ,Atmospheric temperature range ,Mole fraction ,law.invention ,Ignition system ,Diesel fuel ,chemistry.chemical_compound ,Fuel Technology ,020401 chemical engineering ,Decalin ,chemistry ,law ,Range (aeronautics) ,0202 electrical engineering, electronic engineering, information engineering ,Sensitivity (control systems) ,0204 chemical engineering - Abstract
Autoignition characteristics of a four-component surrogate fuel(M2) were investigated in a heated rapid compression machine over a wide range of conditions. The near-term light surrogate M2 developed for marine diesel fuel was formulated in our previous study containing 17.3% n-hexadecane, 5.93% 2,2,4,4,6,8,8-heptamethylnonane, 30% decalin and 46.77% 1-methylnaphthalene by mole fraction. Ignition delay times (IDTs) of gas-phase M2/N2/O2 mixture were measured at pressures of 7, 10, 15 and 20 bar over the temperature range from 675 K to 914 K for the equivalence ratios (ER) of 0.5, 1 and 1.5. NTC behaviours within the temperature of 730–850 K and two-stage ignition phenomena were observed. The effects of operating conditions such as pressure, equivalence ratio and oxygen content were systematically studied, and correlations of total IDTs and first-stage IDTs were performed to further quantitatively reveal the IDTs dependence on the above parameters. Reasonable modifications were made to a literature mechanism to improve its predicting quality. The simulation results using the modified model could satisfactorily reproduce the IDTs under the test conditions, and the model is also able to capture the ignition delay dependence on pressure and fuel/oxygen content. A brute force sensitivity analysis at the low temperature (680 K) and the NTC temperature (780 K) was carried out to identify the key reactions that govern the ignition event of surrogate M2.
- Published
- 2021
30. Autoignition behavior of methanol/diesel mixtures: Experiments and kinetic modeling
- Author
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Yong Qian, Liang Yu, Jing Li, Jizhen Zhu, Mohsin Raza, Yuan Feng, Sixu Wang, Xingcai Lu, and Yebing Mao
- Subjects
Materials science ,020209 energy ,General Chemical Engineering ,Mixing (process engineering) ,Analytical chemistry ,General Physics and Astronomy ,Energy Engineering and Power Technology ,Autoignition temperature ,02 engineering and technology ,General Chemistry ,Combustion ,law.invention ,Ignition system ,chemistry.chemical_compound ,Diesel fuel ,Fuel Technology ,020401 chemical engineering ,chemistry ,law ,0202 electrical engineering, electronic engineering, information engineering ,Methanol ,0204 chemical engineering ,Shock tube ,Oxygenate - Abstract
Methanol is an attractive oxygenate increasingly used as primary fuel for dual-fuel combustion technology yielding beneficial thermal-efficiency and emissions in modern engines. As such, it is significant to fundamentally understand the autoignition behavior of methanol/diesel mixtures. This study measured the ignition delay times (IDTs) of methanol/diesel blends with different mixing ratios (30%, 50%, 70% methanol by mol.) on a heated shock tube and a heated rapid compression machine at temperatures of 650−1450 K, pressures of 6−20 bar, and equivalence ratios of 0.5, 1.0 and 2.0. The typical two-stage ignition characteristics with the negative temperature coefficient response were observed for dual-fuel mixtures. In general, both the total and first-stage IDTs decrease with the increment of pressure and equivalence ratio as well as diesel proportion in mixtures. The simulation results performed with a published detailed mechanism in conjunction with a tri-component diesel surrogate demonstrate generally good agreement with the experimental data at all test conditions. Moreover, a crossover of IDTs occurs at a higher temperature (~1500 K) for varying equivalence ratios, and experiment and simulation both exhibit a non-linear mixing effect of methanol addition on diesel ignition. Interestingly, simulation results clearly suggest a crossover (~940 K) for mixtures with varying methanol content at an intermediate-temperature, where the IDT of the mixture with a lower methanol ratio becomes longer as the temperature is higher than that of the crossover. Furthermore, brute-force sensitivity analyses assisted with reaction path analysis were conducted to gain deeper insights into the autoignition chemistry of dual-fuel mixtures, especially for the chemical interaction between both fuels during the low-temperature oxidation process. It is found that methanol hardly generates •OH, whereas •OH is mainly produced by the low-temperature reaction pathways of diesel. Thus, •OH is the bridge for both fuels during the ignition process. At the high methanol ratio, the H-abstraction of diesel is mainly via •HO2 while CH3OH consumes a large percentage of •OH. Consequently, the competition between methanol and diesel for •OH radicals inhibits the overall reactivity of reaction network. In addition, the original data reported here lay a foundation for the development and validation of more accurate and robust dual-fuel kinetic schemes.
- Published
- 2021
31. Ag-Modified ZnO Nanorod Array Fabricated on Polyester Fabric and Its Enhanced Visible-Light Photocatalytic Performance by a Built-in Electric Field and Plasmonic Effect
- Author
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Jun Wang, Jinquan Hong, Li-Qin Liu, Huamin Chen, Yao-Guo Shen, Xiaoling Xue, Ying-Wu Zhou, Zhiqun Liu, Hua-Liang Yu, and Biao Zheng
- Subjects
Kelvin probe force microscope ,Materials science ,business.industry ,General Chemical Engineering ,Surface photovoltage ,Heterojunction ,General Chemistry ,Sputter deposition ,Article ,Chemistry ,chemistry.chemical_compound ,chemistry ,Photocatalysis ,Rhodamine B ,Optoelectronics ,Nanorod ,business ,QD1-999 ,Visible spectrum - Abstract
ZnO nanorod arrays (NRAs) were fabricated on polyester fabrics (PFs) by a two-step method and modified with Ag by magnetron sputtering. The photogenerated charge transport properties of the Ag/ZnO nanorod heterojunctions were studied by a self-made Kelvin probe system and a surface photovoltage (SPV) test system. The measured work functions (WFs) of the deposited Ag and ZnO nanorod are 4.67 and 5.56 eV, respectively. The SPV spectra indicate that the direction of the inner electric field is from the Ag layer to the inner of the ZnO nanorod. The enhancement of light absorption by the local surface plasma resonance (LSPR) effect of Ag/ZnO NRA was observed by Raman microspectroscopy and UV–vis diffuse reflectance spectroscopy. The photocatalytic activity of the Ag/ZnO NRA-functionalized PFs was evaluated by the photocatalytic degradation of Rhodamine B (RB) solution under visible light. The full photo-oxidation of RB and the outperforming ZnO NRA-coated PFs demonstrate that the enhanced photocatalytic performance of Ag/ZnO NRA-coated PFs results from the cooperation of the inner electric field of the Ag/ZnO nanorod heterojunction and Ag LSPR.
- Published
- 2021
32. Catalytic CO Oxidation on MgAl2O4-Supported Iridium Single Atoms: Ligand Configuration and Site Geometry
- Author
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Hongliang Xin, Ayman M. Karim, Adam S. Hoffman, Simon R. Bare, Ce Yang, Yubing Lu, Jiamin Wang, Massimiliano Delferro, Liang Yu, and Liping Liu
- Subjects
Crystallography ,General Energy ,Materials science ,chemistry ,Ligand ,chemistry.chemical_element ,Iridium ,Physical and Theoretical Chemistry ,Surfaces, Coatings and Films ,Electronic, Optical and Magnetic Materials ,Catalysis - Published
- 2021
33. Biocrude Upgrading in Different Solvents after Microalgae Hydrothermal Liquefaction
- Author
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Wang Han, Donghai Xu, Liang Yu, Liang Liu, Ning Wei, and Shuzhong Wang
- Subjects
Chemistry ,General Chemical Engineering ,General Chemistry ,Industrial and Manufacturing Engineering ,Supercritical fluid ,Solvent ,Hydrothermal liquefaction ,chemistry.chemical_compound ,Biofuel ,Yield (chemistry) ,Acetone ,Heat of combustion ,Methanol ,Nuclear chemistry - Abstract
Hydrothermal liquefaction of the third-generation biomass represented by microalgae can produce biocrude. However, the directly obtained biocrude has a high heteroatom content and a low higher heating value (HHV), which cannot meet the standards of biofuel. In this work, water-insoluble biocrude which was directly gained from microalgae hydrothermal liquefaction (HTL) was upgraded under four kinds of solvents (i.e., methanol, ethanol, acetone, and H₂O) and one type of catalyst (H₂O + Ru/C) at 240–400 °C for 1 h. The results show that the HHV and C and H contents of upgraded bio-oil increased and the O/C ratio decreased significantly after solvent upgrading. The highest upgraded bio-oil yield appeared in the case of ethanol upgrading and reached the maximum value of 82.8 wt % at 360 °C. The upgraded bio-oil yield of acetone upgrading increased from 45.8 to 68.2 wt % as the temperature increased within 240–400 °C. Also, esterification reactions between alcohol and acid in the supercritical system remarkably reduced the content of carboxyl-containing organic matter.
- Published
- 2021
34. Microporous Nickel-Coordinated Aminosilica Membranes for Improved Pervaporation Performance of Methanol/Toluene Separation
- Author
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Masakoto Kanezashi, Ufafa Anggarini, Toshinori Tsuru, Hiroki Nagasawa, and Liang Yu
- Subjects
Materials science ,Dopant ,chemistry.chemical_element ,02 engineering and technology ,Microporous material ,010402 general chemistry ,021001 nanoscience & nanotechnology ,01 natural sciences ,Toluene ,0104 chemical sciences ,chemistry.chemical_compound ,Nickel ,Membrane ,chemistry ,Chemical engineering ,Specific surface area ,General Materials Science ,Methanol ,Pervaporation ,0210 nano-technology - Abstract
The nickel-doped bis [3-(trimethoxysilyl) propyl] amine (BTPA) derived membrane has a microporous coordinated network that has high potential to be an ideal separation barrier for methanol-toluene azeotropic mixtures via the pervaporation process. Ni-BTPA membranes were modified by employing a nickel dopant over amine groups in mole ratios (mol/mol) that ranged from 0.125 to 0.50. The incorporation of different amounts of nickel dopant into flexible amine-rich organosilica precursors of BTPA increased the rigidity and resulted in a porous structure with a large specific surface area (increased from 2.36 up to 282 m2 g-1) and a high pore volume (from 0.024 up to 0.184 cm3 g-1). Methanol-toluene separation performance by the nickel-doped BTPA (Ni-BTPA) membranes was increased with increases in the nickel concentration. Ni-BTPA 0.50 showed separation performance that was superior to other types of membranes, along with a high-level of flux at 2.8 kg m-2 h-1 and a separation factor higher than 900 in a 10 wt % methanol feed solution at 50 °C. These results suggest that the balance between the microporosity induced by amine-nickel coordination and an excessive amount of nickel-ion facilitates high levels of flux and separation of methanol.
- Published
- 2021
35. Experimental and modeling study of the autoignition for diesel and n-alcohol blends from ethanol to n-pentanol in shock tube and rapid compression machine
- Author
-
Jing Li, Liang Yu, Xingcai Lu, Jizhen Zhu, Yong Qian, Mohsin Raza, Sixu Wang, and Yueying Liang
- Subjects
Materials science ,020209 energy ,General Chemical Engineering ,Analytical chemistry ,General Physics and Astronomy ,Energy Engineering and Power Technology ,Alcohol ,Autoignition temperature ,02 engineering and technology ,General Chemistry ,law.invention ,Ignition system ,chemistry.chemical_compound ,Diesel fuel ,Fuel Technology ,020401 chemical engineering ,chemistry ,Surface-area-to-volume ratio ,law ,0202 electrical engineering, electronic engineering, information engineering ,0204 chemical engineering ,Shock tube ,Mass fraction ,Cetane number - Abstract
The ignition delay times (IDTs) of n-alcohol/diesel blends were measured in a heated shock tube (ST) and a heated rapid compression machine (RCM). Three sets of blends were formulated to investigate the effect of n-alcohol (the volume ratio of n-alcohol/diesel being 20%/80% for four blends), cetane number (CN = 43, the volume ratio of n-alcohol/diesel being 20%/80% ethanol/diesel, 20.5%/79.5% n-propanol/diesel, 23.5%/76.6% n-butanol/diesel, 25.8%/74.2% n-pentanol/diesel), and oxygen content (mass fraction of oxygen wO2 = 6.65%, the volume ratio of n-alcohol/diesel being 20%/80% ethanol/diesel, 25.6%/74.4% n-propanol/diesel, 31.4%/68.6% n-butanol/diesel, 37.2%/62.8% n-pentanol/diesel) on the autoignition characteristics. In the RCM temperature region, the IDTs decrease with increasing n-alcohol chain length from ethanol to n-pentanol for all three sets of blends, while those in the ST temperature region show indiscernible variations. Interestingly, the intersection of IDTs for ethanol/diesel blend with other n-alcohol/diesel blends is observed when the temperature is below ~700 K. A recently-released detailed mechanism from the CRECK modeling group was used to predict the experimental results. The simulations show relatively good agreement with high-temperature (HT) ignition data, while the mechanism pronouncedly overpredicts the reactivity of blends at low-to-intermediate temperatures. Sensitivity analyses at three temperatures of 675 K, 800 K, and 1300 K were conducted to identify the dominant reactions during the autoignition of 20% n-alcohol/80% diesel blends and to kinetically elaborate and discuss the discrepancies between simulations and experiments. At the end, a preliminary mechanism tune-up was carried out grounded on the sensitivity analyses. The improved mechanism regains its predictive ability for IDTs of 20% n-butanol/80% diesel blend at RCM temperatures, while fails to precisely simulate the remaining three blends.
- Published
- 2021
36. Polymer Composite Coating for Anti‐marine and Related Organism Corrosion
- Author
-
Zhipeng Xie, Haiyan Zhuang, Liang Yu, Chen Kaifeng, and Jingjing Wang
- Subjects
Biofouling ,Coating ,Chemical engineering ,Chemistry ,engineering ,Polymer composites ,engineering.material ,Environmentally friendly ,Organism ,Corrosion - Published
- 2021
37. Integral Multielement Signals by DNA-Programmed UCNP–AuNP Nanosatellite Assemblies for Ultrasensitive ICP–MS Detection of Exosomal Proteins and Cancer Identification
- Author
-
Yong-Liang Yu, Jian-Hua Wang, Shuai Chen, Meng-Xian Liu, Meng-Qi He, and Xue-Wei Zhang
- Subjects
Aptamer ,Metal Nanoparticles ,DNA, Satellite ,Exosomes ,010402 general chemistry ,01 natural sciences ,Exosome ,Analytical Chemistry ,HeLa ,chemistry.chemical_compound ,Neoplasms ,Humans ,Detection limit ,biology ,010401 analytical chemistry ,Proteins ,DNA ,biology.organism_classification ,Microvesicles ,0104 chemical sciences ,Biochemistry ,chemistry ,Colloidal gold ,Cancer biomarkers ,Gold - Abstract
Exosomes are expected to be used as cancer biomarkers because they carry a variety of cancer-related proteins inherited from parental cells. However, it is still challenging to develop a sensitive, robust, and high-throughput technique for simultaneous detection of exosomal proteins. Herein, three aptamers specific to cancer-associated proteins (CD63, EpCAM, and HER2) are selected to connect gold nanoparticles (AuNPs) as core with three different elements (Y, Eu, and Tb) doped up-conversion nanoparticles (UCNPs) as satellites, thereby forming three nanosatellite assemblies. The presence of exosomes causes specific aptamers to recognize surface proteins and release the corresponding UCNPs, which can be simultaneously detected by inductively coupled plasma-mass spectrometry (ICP-MS). It is worth noting that rare earth elements are scarcely present in living systems, which minimize the background for ICP-MS detection and exclude potential interferences from the coexisting species. Using this method, we are able to simultaneously detect three exosomal proteins within 40 min, and the limit of detection for exosome is 4.7 × 103 particles/mL. The exosomes from seven different cell lines (L-02, HepG2, GES-1, MGC803, AGS, HeLa, and MCF-7) can be distinguished with 100% accuracy by linear discriminant analysis. In addition, this analytical strategy is successfully used to detect exosomes in clinical samples to distinguish stomach cancer patients from healthy individuals. These results suggest that this sensitive and high-throughput analytical strategy based on ICP-MS has the potential to play an important role in the detection of multiple exosomal proteins and the identification of early cancer.
- Published
- 2021
38. 'Insert-and-Go' Activated Carbon Electrode Tip for Heavy Metal Capture and In Situ Analysis by Microplasma Optical Emission Spectrometry
- Author
-
Jian-Hua Wang, Xin-Xin Xue, Shuang Liu, and Yong-Liang Yu
- Subjects
Detection limit ,Chemistry ,Microplasma ,010401 analytical chemistry ,Analytical chemistry ,Dielectric barrier discharge ,010402 general chemistry ,01 natural sciences ,0104 chemical sciences ,Analytical Chemistry ,Adsorption ,Certified reference materials ,Electrode ,medicine ,Coaxial ,Activated carbon ,medicine.drug - Abstract
The miniaturized optical emission spectrometry (OES) devices based on various microplasma excitation sources provide reliable tools for on-site analysis of heavy metal pollution, while the development of convenient and efficient sample introduction approaches is essential to improve their performances for field analysis. Herein, a small activated carbon electrode tip is employed as solid support to preconcentrate heavy metals in water and subsequently served as an inner electrode of the coaxial dielectric barrier discharge (DBD) to generate microplasma. In this case, heavy metal analytes in water are first adsorbed on the surface of the activated carbon electrode tip via a simple liquid-solid phase transformation during the sample loading process, and then, fast released to produce OES during the DBD microplasma excitation process. The corresponding OES signals are synchronously recorded by a charge-coupled device (CCD) spectrometer for quantitative analysis. This activated carbon electrode tip provides a new tool for sample introduction into the DBD microplasma and facilitates "insert-and-go" in subsequent DBD-OES analysis. With a multiplexed activated carbon electrode tip array, a batch of water samples (50 mL) can be loaded in parallel within 5 min. After drying the activated carbon electrode tips for 5 min, the DBD-OES analysis is maintained at a rate of 6 s per sample. Under the optimized conditions, the detection limits of 0.03 and 0.6 μg L-1 are obtained for Cd and Pb, respectively. The accuracy and practicability of the present DBD-OES system have been verified by measuring several certified reference materials and real water samples. This analytical strategy not only simplifies the sample pretreatment steps but also significantly improves the sensitivity of the DBD-OES system for heavy metal detection. By virtue of the advantages of high sensitivity, fast analysis speed, simple operation, low cost, and favorable portability, the upgraded DBD-OES system provides a more powerful tool for on-site analysis of heavy metal pollution.
- Published
- 2021
39. Inactivating SARS-CoV-2 by electrochemical oxidation
- Author
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Haiwei Zhang, Yunchuan Tu, Yanting Liu, Xiaoju Cui, Huicong Xia, Liang Yu, Zheyi Liu, Yangbo Hu, Fangjun Wang, Jia Wu, Dehui Deng, Jianan Zhang, Shiyun Chen, and Wei Tang
- Subjects
chemistry.chemical_classification ,Multidisciplinary ,SARS-CoV-2 ,Chemistry ,viruses ,fungi ,Peptide ,Electrolyte ,010502 geochemistry & geophysics ,Cleavage (embryo) ,Electrochemistry ,01 natural sciences ,Combinatorial chemistry ,Article ,Virus ,Anode ,chemistry.chemical_compound ,Electrochemical oxidation ,Nickel oxide hydroxide ,Reactive oxygen species ,Sodium carbonate ,ComputingMethodologies_COMPUTERGRAPHICS ,Receptor binding domain ,0105 earth and related environmental sciences - Abstract
Graphical abstract, Fully inactivating SARS-CoV-2, the virus causing coronavirus disease 2019, is of key importance for interrupting virus transmission but is currently performed by using biologically or environmentally hazardous disinfectants. Herein, we report an eco-friendly and efficient electrochemical strategy for inactivating the SARS-CoV-2 using in-situ formed nickel oxide hydroxide as anode catalyst and sodium carbonate as electrolyte. At a voltage of 5 V, the SARS-CoV-2 viruses can be rapidly inactivated with disinfection efficiency reaching 95% in only 30 s and 99.99% in 5 min. Mass spectrometry analysis and theoretical calculations indicate that the reactive oxygen species generated on the anode can oxidize the peptide chains and induce cleavage of the peptide backbone of the receptor binding domain of the SARS-CoV-2 spike glycoprotein, and thereby disables the virus. This strategy provides a sustainable and highly efficient approach for the disinfection of the SARS-CoV-2 viruliferous aerosols and wastewater.
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- 2021
40. The relationship between plasma taurine levels in early pregnancy and later gestational diabetes mellitus risk in Chinese pregnant women
- Author
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Ai Min Yao, Liang Yu Xia, Peng Ju Liu, Yanping Liu, Lihong Liu, Zhuoling An, Ting Hu, and Liangkun Ma
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Adult ,0301 basic medicine ,China ,Taurine ,Science ,Physiology ,030209 endocrinology & metabolism ,Early pregnancy factor ,Article ,03 medical and health sciences ,chemistry.chemical_compound ,Endocrinology ,0302 clinical medicine ,Asian People ,Pregnancy ,Risk Factors ,Insulin-Secreting Cells ,medicine ,Humans ,Glucose homeostasis ,Multidisciplinary ,biology ,business.industry ,Confounding ,Health care ,medicine.disease ,Gestational diabetes ,Diabetes, Gestational ,Parity ,030104 developmental biology ,chemistry ,Plasma taurine level ,biology.protein ,Gestation ,Medicine ,Female ,Pregnant Women ,business ,Biomarkers - Abstract
Taurine is a sulfur-containing amino acid that plays an important role in glucose homeostasis. However, it remains unknown whether the plasma concentration of taurine affects the risk of later gestational diabetes mellitus (GDM) development. We recruited 398 singleton-pregnancy women and followed up them during the course of pregnancy. We measured the plasma concentrations of taurine based on blood samples collected at nine-week gestation on average and obtained the data regarding both mothers and their infants from medical records. There was a significant increment in the mean value of HOMA-β across the tertiles of plasma taurine in multiparous women rather than in primiparous women. After adjustment for confounders, an increase of plasma taurine was nominally and significantly associated with a decrease risk of GDM; moreover, women with plasma taurine concentrations in the lowest tertile and in the second tertile had a higher risk of GDM than did those with plasma taurine in the top tertile in multiparous women other than primiparous women. Plasma taurine level seems to be associated with insulin secretion in early pregnancy and be more closely associated with β-cell function and the risk of GDM development in multiparas in comparison to primiparas.
- Published
- 2021
41. Sulfur vacancy-rich MoS2 as a catalyst for the hydrogenation of CO2 to methanol
- Author
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Deng Jiao, Jiuzhong Yang, Qinqin Ji, Yongke Wang, Jingting Hu, Shengsheng Yu, Zhenchao Zhao, Yong Wang, Kang Cheng, Mingshu Chen, Yanping Zheng, Xinhe Bao, Dehui Deng, Shuhong Zhang, Qinghong Zhang, Wu Wen, Fei Qi, Xiuwen Han, Hao Ma, Liang Yu, Ye Wang, Xiangyu Meng, Yang Pan, Jun Mao, Rui Huang, Chao Ma, and Guangjin Hou
- Subjects
Materials science ,Process Chemistry and Technology ,chemistry.chemical_element ,Bioengineering ,Heterogeneous catalysis ,Biochemistry ,Sulfur ,Catalysis ,Methane ,chemistry.chemical_compound ,chemistry ,Chemical engineering ,Hydrogenolysis ,Yield (chemistry) ,Methanol ,Selectivity - Abstract
The low-temperature hydrogenation of CO2 to methanol is of great significance for the recycling of this greenhouse gas to valuable products, however, it remains a great challenge due to the trade-off between catalytic activity and selectivity. Here, we report that CO2 can dissociate at sulfur vacancies in MoS2 nanosheets to yield surface-bound CO and O at room temperature, thus enabling a highly efficient low-temperature hydrogenation of CO2 to methanol. Multiple in situ spectroscopic and microscopic characterizations combined with theoretical calculations demonstrated that in-plane sulfur vacancies drive the selective hydrogenation of CO2 to methanol by inhibiting deep hydrogenolysis to methane, whereas edge vacancies facilitate excessive hydrogenation to methane. At 180 °C, the catalyst achieved a 94.3% methanol selectivity at a CO2 conversion of 12.5% over the in-plane sulfur vacancy-rich MoS2 nanosheets, which notably surpasses those of previously reported catalysts. This catalyst exhibited high stability for over 3,000 hours without any deactivation, rendering it a promising candidate for industrial application. The catalytic hydrogenation of CO2 to methanol is a crucial reaction for the recycling of this greenhouse gas, although the selection and related performance of commercial catalysts is still limited. Now, the authors introduce sulfur vacancy-rich MoS2 nanosheets as a superior catalyst for this process, rivalling the commercial benchmark system.
- Published
- 2021
42. Diverse Synthesis of Chiral Trifluoromethylated Alkanes via Nickel‐Catalyzed Asymmetric Reductive Cross‐Coupling Fluoroalkylation
- Author
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Xi-Sheng Wang, Yue Min, Hegui Gong, Guobin Ma, Shan-Xiu Ni, Jian-Liang Yu, and Jie Sheng
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Trifluoromethyl ,010405 organic chemistry ,Chemistry ,Bioactive molecules ,Aryl ,Enantioselective synthesis ,chemistry.chemical_element ,General Chemistry ,General Medicine ,010402 general chemistry ,01 natural sciences ,Combinatorial chemistry ,Catalysis ,0104 chemical sciences ,Organic molecules ,chemistry.chemical_compound ,Nickel ,Functional group - Abstract
The trifluoromethyl group represents one of the most functional and widely used fluoroalkyl groups in drug design and screening, while the drug candidates containing chiral trifluoromethyl-bearing carbons are still few due to the lack of efficient methods for the asymmetric introduction of trifluoromethyl group into organic molecules. Herein, we described a nickel-catalyzed asymmetric trifluoroalkylation of aryl iodides, for the first time, by utilizing reductive cross-coupling in enantioselective fluoroalkylation. This novel method has demonstrated high efficiency, mild conditions, and excellent functional group tolerance, especially for substrates containing diverse pharmaceutical and bioactive molecules moieties. This strategy provided an efficient and facile way for diversity-oriented synthesis of chiral trifluoromethylated alkanes.
- Published
- 2021
43. One-Step Synthesis of Carbon Nanoparticles Capable of Long-Term Tracking Lipid Droplet for Real-Time Monitoring of Lipid Catabolism and Pharmacodynamic Evaluation of Lipid-Lowering Drugs
- Author
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Na Ding, Shuai Chen, Meng-Xian Liu, Yong-Liang Yu, and Jian-Hua Wang
- Subjects
Biocompatibility ,Chemistry ,Lipid Droplets ,Lipid Metabolism ,Lipids ,Photobleaching ,Carbon ,Analytical Chemistry ,Pharmaceutical Preparations ,Lipid droplet ,Amphiphile ,Organelle ,Biophysics ,Nanoparticles ,Viability assay ,Cytotoxicity ,Intracellular - Abstract
Lipid droplets (LDs) are intracellular lipid-rich organelles, which not only serve as neutral lipid reservoirs but also involve in many physiological processes and are associated with a variety of metabolic diseases and cancers. Long-term tracking of the state and behavior of LDs is of great significance but challenging. The difficulty is largely due to the lack of low cytotoxicity, high photobleaching resistance, and long intracellular retention probes that are capable of long-term tracking LDs. Herein, we report the discovery of two amphiphilic LD-targeting carbon nanoparticles (CNPs, i.e., CPDs and CDs) prepared by one-step room-temperature and hydrothermal methods. Their high lipid-water partition coefficient (log P > 2.13) and strong positive solvatochromism property ensure the quality of LD imaging. Especially, CDs exhibit favorable biocompatibility (2 mg mL-1, cell viability >90%), excellent photostability (after continuous laser irradiation on a confocal microscope for 2 h, relative FL intensity >85%), and superior intracellular retention ability, thereby enabling long-term tracking of LDs in hepatocytes for up to six passages. Based on the excellent long-term tracking ability, CDs are successfully applied to observe autophagy in a typical catabolic process and to evaluate the effect of a commonly used lipid-lowering drug atorvastatin on hepatocyte lipid uptake.
- Published
- 2021
44. Metabolic effects of cross-sex hormone therapy in transgender individuals in Taiwan
- Author
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Yu-Hsien Liu, Yi-Chun Lin, Chia-Huei Chu, Tsung-Hui Wu, and Liang-Yu Lin
- Subjects
Male ,medicine.medical_specialty ,medicine.medical_treatment ,Taiwan ,030204 cardiovascular system & hematology ,Risk Assessment ,Transgender Persons ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,Sex hormone-binding globulin ,Internal medicine ,Transgender ,medicine ,Electronic Health Records ,Humans ,Gonadal Steroid Hormones ,Retrospective Studies ,Creatinine ,biology ,business.industry ,Incidence (epidemiology) ,Retrospective cohort study ,General Medicine ,Endocrinology ,chemistry ,030220 oncology & carcinogenesis ,biology.protein ,Female ,Hemoglobin ,Hormone therapy ,business ,Body mass index - Abstract
BACKGROUND Transgender individuals often require gender-affirming interventions, such as endogenous sex hormone inhibition or gender-affirming hormone therapy (HT), while there is discordance between their body and gender identity. However, a recent study found that the incidence of cardiovascular events is higher in transgender patients receiving cross-sex HT. The aim of this study was to investigate the metabolic effects of an altered sex hormone profile. METHODS This retrospective study, conducted in a referral center in Northern Taiwan, analyzed metabolic changes over time in 65 trans masculine and 45 trans feminine persons. The transgender individuals were examined at 4 time points: before the gender affirming HT, as well as 3, 6, and 12 months following treatment. RESULTS Compared with baseline measurements, the trans masculine patients showed significant increases in body mass index (BMI) (22.6 ± 0.3 vs 23.3 ± 0.4 kg/m2; p < 0.001; t = 3M), low-density lipoprotein cholesterol (124.3 ± 3.7 vs 131.3 ± 3.9 mg/dL; p = 0.03; t = 12M), creatinine (0.75 ± 0.01 vs 0.83 ± 0.14 mg/dL; p < 0.001; t = 12M), and hemoglobin (13.5 ± 0.7 vs 15.2 ± 0.2 g/dL; p < 0.001; t = 12M), as well as decreased high-density lipoprotein cholesterol (57 ± 2.1 vs 51 ± 2.0 mg/dL; p < 0.001; t = 12M). The trans feminine patients had reduced low-density lipoprotein cholesterol (104.2 ± 3.2 vs 100.8 ± 3.5 mg/dL; p = 0.05; t = 3M), hemoglobin (14.0 ± 0.1 vs 13.5 ± 0.1 g/dL; p = 0.008; t = 12M), and creatinine (0.82 ± 0.01 vs 0.79 ± 0.14 mg/dL; p < 0.001; t = 3M) compared with baseline data. In addition, most of these metabolic effects persisted during the follow-up period. CONCLUSION This observational, retrospective study revealed that gender-affirming HT increased the relative cardiovascular risk in trans masculine individuals.
- Published
- 2021
45. Pitting Corrosion of Biomedical Titanium and Titanium Alloys: A Brief Review
- Author
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Liu Xin-Xin, Cui Yu-Wei, and Chen Liang-Yu
- Subjects
Materials science ,Metallurgy ,technology, industry, and agriculture ,Biomedical Engineering ,Pharmaceutical Science ,Medicine (miscellaneous) ,Titanium alloy ,chemistry.chemical_element ,Bioengineering ,equipment and supplies ,chemistry ,Pitting corrosion ,Biotechnology ,Titanium - Abstract
Thanks to their excellent corrosion resistance, superior mechanical properties and good biocompatibility, titanium (Ti) and Ti alloys are extensively applied in biomedical fields. Pitting corrosion is a critical consideration for the reliability of Ti and Ti alloys used in the human body. Therefore, this article focuses on the pitting corrosion of Ti and Ti alloys, which introduces the growth stages of pitting corrosion and its main influencing factors. Three stages, i.e. (1) breakdown of passive film, (2) metastable pitting, and (3) propagation of pitting, are roughly divided to introduce the pitting corrosion. As reviewed, corrosive environment, applied potential, temperature and alloy compositions are the main factors affecting the pitting corrosion of Ti and Ti alloys. Moreover, the pitting corrosion of different types Ti alloys are also reviewed to correlate the types of Ti alloys and the main factors of pitting corrosion. Roughly speaking, β-type Ti alloys have the best pitting corrosion resistance among the three types of Ti alloys.
- Published
- 2021
46. Diversity of microbial community structure and their association with phthalic acid esters and physicochemical parameters in informal landfills
- Author
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Xingzhi Wang, Haiyan Wang, Guo Xiaoya, Haihong Yan, Qin Yin, Yuegang Nian, and Liang Yu
- Subjects
Pollutant ,China ,Microbiota ,0208 environmental biotechnology ,Phthalic Acids ,Esters ,02 engineering and technology ,General Medicine ,010501 environmental sciences ,01 natural sciences ,020801 environmental engineering ,Waste Disposal Facilities ,Waste treatment ,Phthalic acid ,chemistry.chemical_compound ,Microbial population biology ,chemistry ,Environmental chemistry ,Environmental Chemistry ,Environmental science ,Leachate ,Waste Management and Disposal ,Water Pollutants, Chemical ,0105 earth and related environmental sciences ,Water Science and Technology - Abstract
Informal landfill is a common waste treatment method employed in rural areas of China, and phthalic acid esters (PAEs) are one of the typical pollutants in landfill leachate. However, there is no corresponding theoretical basis for whether microbial treatment technology can be used to reduce environmental risk of PAEs in informal landfills. Thus, a typical informal landfill site in northern China was selected and approximately 1,133,023 effective sequences were obtained from 21 samples collected from three layers (different deposit depths) of the landfill. This research explored the correlation between PAEs and the composition and distribution of microbial community in specific environments of informal landfill sites. Here we found that dis(2-ethylhexyl) phthalate (DEHP), di-n-octyl phthalate (DOP), and diethyl phthalate (DEP) were positively and significantly correlated with Bhargavaea, Planococcus, Virgibacillus, and Oceanobacillus, respectively. The redundancy analysis demonstrated that moisture content, pH, NO2−-N, and SUVA254 among the seven physicochemical factors (pH, TN, NO3−-N,NO2−-N,NH4+-N, SUVA254, and moisture content) significantly affected bacterial communities. The research conclusion can provide theoretical basis for the degradation technology of PAEs by microorganism and research basis for the treatment of informal landfill sites.
- Published
- 2021
47. Bioconversion of Lignin-Derived Feedstocks to Muconic Acid by Whole-Cell Biocatalysis
- Author
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Yufen Chen, Jifeng Yuan, Gezhi Xiao, Tzu-Yu Kao, Cong Fan, Liang-Yu Ko, and Bixia Fu
- Subjects
Muconic acid ,Chemistry ,Bioconversion ,fungi ,Organic Chemistry ,technology, industry, and agriculture ,food and beverages ,macromolecular substances ,Biorefinery ,medicine.disease_cause ,complex mixtures ,Analytical Chemistry ,chemistry.chemical_compound ,Isoeugenol ,Chemistry (miscellaneous) ,Biocatalysis ,Vanillic acid ,medicine ,Organic chemistry ,Lignin ,Escherichia coli ,Food Science - Abstract
Lignin as a byproduct can be obtained from agricultural wastes and biorefinery. In this study, we sought to develop Escherichia coli-based whole-cell biocatalysis for converting lignin-derived isoe...
- Published
- 2021
48. Qualitative, Quantitative and Mechanism Research of Volatiles in the Most Commonly Used CaO–SiO2–CaF2–Na2Ο Slag During Casting Process
- Author
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Gao Zhubing, Ping Tang, Liang Yu, Zhe Wang, Guanghua Wen, and Shaopeng Gu
- Subjects
Thermogravimetric analysis ,Volatilisation ,Materials science ,Scanning electron microscope ,Metallurgy ,chemistry.chemical_element ,Slag ,medicine.disease_cause ,Boiling point ,chemistry ,Mold ,visual_art ,medicine ,Fluorine ,visual_art.visual_art_medium ,Melting point - Abstract
The volatilization problem of mold fluxes extremely affects their physicochemical properties and then the quality of steel shells and casting process. Therefore, in this paper, the qualitative and quantitative analysis of volatiles in the most commonly used CaO–SiO2–CaF2–Na2O slag was conducted with thermogravimetric analyzer–mass spectroscopy (TG–MS), X-ray diffraction (XRD), scanning electron microscope with energy-dispersive spectroscopy (SEM–EDS) and FactSage, followed by giving the mechanism of fluorine volatiles in mold fluxes during the actual casting process. The results showed that the fluorine volatiles were formed when the temperature was higher than 1000 °C. The species of fluorine volatiles were SiF4 and NaF. Moreover, the total volatiles content of fluorine for sample B with Na2O was 9.41%, being much larger than that of 1.53% for sample C without Na2O. For sample B, the content of NaF was much larger than that of SiF4. It was because of the reaction between Na2O and CaF2. SiF4 with a low boiling point of − 65 °C could pass through the slag layer and enter air directly. However, when NaF passed through the sinter layer or powder slag layer, NaF would convert into liquid or solid state, reenter molten slag and continuously repeat this process due to their high melting point of 993 °C.
- Published
- 2021
49. COVID-19 associated with pulmonary aspergillosis: A literature review
- Author
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Chih-Cheng Lai and Weng-Liang Yu
- Subjects
0301 basic medicine ,Microbiology (medical) ,medicine.medical_specialty ,Antifungal Agents ,medicine.medical_treatment ,030106 microbiology ,lcsh:QR1-502 ,Aspergillus flavus ,Comorbidity ,Review Article ,Aspergillosis ,Antiviral Agents ,lcsh:Microbiology ,Aspergillus fumigatus ,03 medical and health sciences ,Galactomannan ,chemistry.chemical_compound ,0302 clinical medicine ,Risk Factors ,Internal medicine ,medicine ,Humans ,Immunology and Allergy ,030212 general & internal medicine ,skin and connective tissue diseases ,Invasive Pulmonary Aspergillosis ,Mechanical ventilation ,Voriconazole ,Respiratory Distress Syndrome ,Aspergillus ,General Immunology and Microbiology ,biology ,Coinfection ,SARS-CoV-2 ,business.industry ,Incidence (epidemiology) ,COVID-19 ,General Medicine ,biology.organism_classification ,medicine.disease ,COVID-19 Drug Treatment ,Co-infection ,Infectious Diseases ,chemistry ,Cytokines ,business ,medicine.drug - Abstract
Bacterial or virus co-infections with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have been reported in many studies, however, the knowledge on Aspergillus co-infection among patients with coronavirus disease 2019 (COVID-19) was limited. This literature review aims to explore and describe the updated information about COVID-19 associated with pulmonary aspergillosis. We found that Aspergillus spp. can cause co-infections in patients with COVID-19, especially in severe/critical illness. The incidence of IPA in COVID-19 ranged from 19.6% to 33.3%. Acute respiratory distress syndrome requiring mechanical ventilation was the common complications, and the overall mortality was high, which could be up to 64.7% (n = 22) in the pooled analysis of 34 reported cases. The conventional risk factors of invasive aspergillosis were not common among these specific populations. Fungus culture and galactomannan test, especially from respiratory specimens could help early diagnosis. Aspergillus fumigatus was the most common species causing co-infection in COVID-19 patients, followed by Aspergillus flavus. Although voriconazole is the recommended anti-Aspergillus agent and also the most commonly used antifungal agent, aspergillosis caused by azole-resistant Aspergillus is also possible. Additionally, voriconazole should be used carefully in the concern of complicated drug-drug interaction and enhancing cardiovascular toxicity on anti-SARS-CoV-2 agents. Finally, this review suggests that clinicians should keep alerting the possible occurrence of pulmonary aspergillosis in severe/critical COVID-19 patients, and aggressively microbiologic study in addition to SARS-CoV-2 via respiratory specimens should be indicated.
- Published
- 2021
50. PCDH10 exerts tumor-suppressor functions through modulation of EGFR/AKT axis in colorectal cancer
- Author
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Tzu-Ming Jao, Wei-Ting Weng, Shih-Ci Ciou, Woei-horng Fang, Ming-Hong Tsai, Ya-Chien Yang, Tsai-Yi Lin, Yu-Lin Hung, and Sung-Liang Yu
- Subjects
0301 basic medicine ,Cancer Research ,Epithelial-Mesenchymal Transition ,Apoptosis ,Stem cell marker ,03 medical and health sciences ,0302 clinical medicine ,Cancer stem cell ,Cell Line, Tumor ,Spheroids, Cellular ,Humans ,Epithelial–mesenchymal transition ,Phosphorylation ,Wnt Signaling Pathway ,Protein kinase B ,Cell Proliferation ,Glycogen Synthase Kinase 3 beta ,Chemistry ,Tumor Suppressor Proteins ,Cell cycle ,Cadherins ,G1 Phase Cell Cycle Checkpoints ,Protocadherins ,ErbB Receptors ,030104 developmental biology ,Oncology ,Gene Knockdown Techniques ,030220 oncology & carcinogenesis ,Cancer research ,Ectopic expression ,Signal transduction ,Colorectal Neoplasms ,Proto-Oncogene Proteins c-akt - Abstract
Protocadherin 10 (PCDH10) is identified as a tumor suppressor in multiple cancers. The molecular mechanisms that mediate the functions of PCDH10 have yet to be fully elucidated. Here, we demonstrated that ectopic expression of PCDH10 in colorectal cancer (CRC) cells induced cell cycle retardation and increased apoptosis through regulation of the p53/p21/Rb axis and Bcl-2 expression. Overexpression of PCDH10 reversed the epithelial-mesenchymal transition (EMT) process with morphological changes and EMT marker alterations. Mechanistic study revealed that PCDH10 inhibited AKT/GSK3β signaling pathway which in turn reduced β-catenin activity and thus attenuated Snail and Twist1 expression. Furthermore, PCDH10 inhibited the stemness of CRC cells, including spheroid formation and stem cell markers. A proteomics approach revealed that PCDH10 could interact with EGFR, which was further verified by co-immunoprecipitation. Moreover, restoration of PCDH10 expression reduced EGFR phosphorylation. Accordingly, our work proposes a novel pathway by which PCDH10 directly engages in the negative regulation of EGFR/AKT/β-catenin signaling pathway, resulting in tumor suppression.
- Published
- 2021
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