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207 results on '"Ma Chunxin"'

1. Regenerable bacterial killing–releasing ultrathin smart hydrogel surfaces modified with zwitterionic polymer brushes

Author

Xiao Shengwei, Zhao Yuyu, Jin Shuqi, He Zhicai, Duan Gaigai, Gu Haining, Xu Hongshun, Cao Xingyu, Ma Chunxin, and Wu Jun

Subjects
smart hydrogels, zwitterionic polymer brushes, surface modification, bacterial killing–releasing, regeneration, Polymers and polymer manufacture, TP1080-1185
Abstract

Building long-lasting antimicrobial and clean surfaces is one of the most effective strategies to inhibit bacterial infection, but obtaining an ideal smart surface with highly efficient, controllable, and regenerative properties still encounters many challenges. Herein, we fabricate an ultrathin brush–hydrogel hybrid coating (PSBMA-P(HEAA-co-METAC)) by integrating antifouling polyzwitterionic (PSBMA) brushes and antimicrobial polycationic (P(HEAA-co-METAC)) hydrogels. The smart bacterial killing–releasing properties can be achieved independently by the opposite volume and conformation changes between the swelling (shrinking) of P(HEAA-co-METAC) hydrogel layer and the shrinking (swelling) of PSBMA brushes. The friction test reveals that both METAC and SBMA components support great lubrication. By tuning the initial organosilane (BrTMOS:KH570) ratios, the prepared PSBMA-P(HEAA-co-METAC) coating exhibits different antibacterial abilities from single “capturing–killing” to versatile “capturing–killing–releasing.” Most importantly, 99% of the bacterial-releasing rate can be easily achieved via 0.5 M NaCl treatment. This smart surface not only possesses long-lasting antibacterial performance, only ∼1.09 × 105 cell·cm−2 bacterial residue even after 72 h exposure to bacteria solutions, but also can be regenerated and triggered between water and salt solution multiple times. This work provides a new way to fabricate antibacterial smart hydrogel coatings with bacterial “killing–releasing” functions and shows great potential for biomedical applications.

Published
2022
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2. A wood-mimetic porous MXene/gelatin hydrogel for electric field/sunlight bi-enhanced uranium adsorption

Author

Chen Lin, Sun Ye, Wang Jiawen, Ma Chao, Peng Shuyi, Cao Xingyu, Yang Lang, Ma Chunxin, Duan Gaigai, Liu Zhenzhong, Wang Hui, Yuan Yihui, and Wang Ning

Subjects
wood-mimetic macropores, hydrogels, mxenes, uranium extraction, seawater, Polymers and polymer manufacture, TP1080-1185
Abstract

Although diverse uranium (U) adsorbents have been explored, it is still a great challenge for high-efficient uranium extraction form seawater. Herein a wood-mimetic oriented porous Ti3C2Tx-MXene/gelatin hydrogel (MGH) has been explored through growing directional ice crystals cooled by liquid nitrogen and subsequently forming pores by freeze-dry (Ice-template) method, for ultrafast and high-efficient U-adsorption from seawater with great enhancement by both electric field and sunlight. Different from disperse Ti3C2Tx-MXene powder, this MGH not only can be easily utilized but also can own ultrahigh specific surface area for high-efficient U-adsorption. The U-adsorbing capacity of this MGH (10 mg) can reach 4.17 mg·g−1 after only 1 week in 100 kg of seawater, which is outstanding in existing adsorbents. Furthermore, on the positive pole of 0.4 V direct current source or under 1-sun irradiation, the U-adsorbing capacity of the MGH can increase by 57.11% and 13.57%, respectively. Most importantly, the U-adsorption of this hydrogel can be greatly enhanced by simultaneously using the above two methods, which can increase the U-adsorbing capacity by 79.95% reaching 7.51 mg·g−1. This work provides a new biomimetic porous MXene-based hydrogel for electric field/sunlight bi-enhanced high-efficient U-extraction from seawater, which will inspire new strategy to design novel U-adsorbents and systems.

Published
2022
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3. A poly(amidoxime)-modified MOF macroporous membrane for high-efficient uranium extraction from seawater

Author

Wang Jiawen, Sun Ye, Zhao Xuemei, Chen Lin, Peng Shuyi, Ma Chunxin, Duan Gaigai, Liu Zhenzhong, Wang Hui, Yuan Yihui, and Wang Ning

Subjects
uranium recovery from seawater, metal–organic frameworks, poly(amidoxime), graphene oxide, composite porous membrane, Polymers and polymer manufacture, TP1080-1185
Abstract

Although metal–organic frameworks (MOFs) own excellent uranium adsorption capacity but are still difficult to conveniently extract uranium from seawater due to the discrete powder state. In this study, a new MOF-based macroporous membrane has been explored, which can high-efficiently extract uranium through continuously filtering seawater. Through modifying the UiO-66 with poly(amidoxime) (PAO), it can disperse well in a N,N-dimethylformamide solution of graphene oxide and cotton fibers. Then, the as-prepared super-hydrophilic MOF-based macroporous membrane can be fabricated after simple suction filtration. Compared with nonmodified MOFs, this UiO-66@PAO can be dispersed uniformly in the membrane because it can stabilize well in the solution, which have largely enhanced uranium adsorbing capacity owing to the modified PAO. Last but not least, different from powder MOFs, this UiO-66@PAO membrane provides the convenient and continuously uranium adsorbing process. As a consequence, the uranium extraction capacity of this membrane can reach 579 mg·g−1 in 32 ppm U-added simulated seawater for only 24 h. Most importantly, this UiO-66@PAO membrane (100 mg) can remove 80.6% uranyl ions from 5 L seawater after 50 filtering cycles. This study provides a universal method to design and fabricate a new MOF-based adsorbent for high-efficient uranium recovery from seawater.

Published
2022
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4. Recent advances in dynamic covalent bond-based shape memory polymers

Author

Peng Shuyi, Sun Ye, Ma Chunming, Duan Gaigai, Liu Zhenzhong, and Ma Chunxin

Subjects
dynamic covalent bonds, shape memory polymers, self-healing, polymeric hydrogels, 3d printing, Polymers and polymer manufacture, TP1080-1185
Abstract

Dynamic covalent bond-based shape memory polymers (DCB-SMPs) are one of most important SMPs which have a wide potential application prospect. Different from common strong covalent bonds, DCBs own relatively weak bonding energy, similarly to the supramolecular interactions of noncovalent bonds, and can dynamically combine and dissociate these bonds. DCB-SMP solids, which can be designed to respond for different stimuli, can provide excellent self-healing, good reprocessability, and high mechanical performance, because DCBs can obtain dynamic cross-linking without sacrificing ultrahigh fixing rates. Furthermore, besides DCB-SMP solids, DCB-SMP hydrogels with responsiveness to various stimuli also have been developed recently, which have special biocompatible soft/wet states. Particularly, DCB-SMPs can be combined with emerging 3D-printing techniques to design various original shapes and subsequently complex shape recovery. This review has summarized recent research studies about SMPs based on various DCBs including DCB-SMP solids, DCB-SMP hydrogels, and the introduction of new 3D-printing techniques using them. Last but not least, the advantages/disadvantages of different DCB-SMPs have been analyzed via polymeric structures and the future development trends in this field have been predicted.

Published
2022
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16. Biobased Itaconate Polyester Thermoset with Tunable Mechanical Properties

Author

Lok, Tow-Jie, primary, Wong, Jie-Wei, additional, Li, Xinge, additional, Fu, Yuanxiang, additional, Xue, Yaoting, additional, Jamaludin, Farah Hidayah, additional, Fong, MunOon, additional, Edward, Evianie Bingak, additional, Ma, Chunxin, additional, Chandren, Sheela, additional, Goh, PeiSean, additional, and Wong, Tuck-Whye, additional

Published
2024
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29. Generating Image Descriptions of Rice Diseases and Pests Based on DeiT Feature Encoder.

Author

Ma, Chunxin, Hu, Yanrong, Liu, Hongjiu, Huang, Ping, Zhu, Yikun, and Dai, Dan

Subjects
RICE diseases & pests, TRANSFORMER models
Abstract

We propose a DeiT (Data-Efficient Image Transformer) feature encoder-based algorithm for identifying disease types and generating relevant descriptions of diseased crops. It solves the scarcity problem of the image description algorithm applied in agriculture. We divided the original image into a sequence of image patches to fit the input form of the DeiT encoder, which was distilled by RegNet. Then, we used the Transformer decoder to generate descriptions. Compared to "CNN + LSTM" models, our proposed model is entirely convolution-free and has high training efficiency. On the Rice2k dataset created by us, the model achieved a 47.3 BLEU-4 score, 65.0 ROUGE_L score, and 177.1 CIDEr score. The extensive experiments demonstrate the effectiveness and the strong robustness of our model. It can be better applied to automatically generate descriptions of similar crop disease characteristics. [ABSTRACT FROM AUTHOR]

Published
2023
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37. Antibiofouling Ultrathin Poly(amidoxime) Membrane for Enhanced U(VI) Recovery from Wastewater and Seawater

Author

Sun, Ye, primary, Liu, Rongrong, additional, Wen, Shunxi, additional, Wang, Jiawen, additional, Chen, Lin, additional, Yan, Bingjie, additional, Peng, Shuyi, additional, Ma, Chao, additional, Cao, Xingyu, additional, Ma, Chunxin, additional, Duan, Gaigai, additional, Wang, Hui, additional, Shi, Se, additional, Yuan, Yihui, additional, and Wang, Ning, additional

Published
2021
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46. In-situpolymerization for mechanical strong composite actuators based on anisotropic wood and thermoresponsive polymer

Author

Chen, Lian, Wei, Xianshuo, Wang, Feng, Jian, Shaoju, Yang, Weisen, Ma, Chunxin, Duan, Gaigai, and Jiang, Shaohua

Abstract

Stimuli-responsive hydrogels hold an irreplaceable statue in intelligent actuation materials because of their reversible stretchability and excellent biocompatibility. However, the poor mechanical performance and complicated fabrication process of anisotropic structures severely limit their further applications. Herein, we report a high-strength thermoresponsive wood-PNIPAM composite hydrogel actuator with complex deformations, through a simple in-situpolymerization. In this composite hydrogel actuator, the anisotropic wood and the thermoresponsive PNIPAM hydrogel hydroel can work together to provide bending and even other complex deformations. Owing to strong interfacial interaction, this actuator perfectly realized the combination of good mechanical properties (∼1.1 MPa) and fast actuation speed (∼0.9 s). In addition, by adjusting the orientation direction of wood, this actuator can achieve various complex deformations. Such composite hydrogel actuator could be a good candidate for intelligent applications, such as intelligent actuators, smart valves, manipulators and even soft robots.

Published
2022
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