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Diagnostic and monitoring for drug-induced liver injury (DILI) predominantly rely on serum aminotransferases. However, owing to their widespread expression across multiple organs, a significant challenge emerges from the absence of reliable biomarkers for DILI diagnosis. Herein, we introduce a concept for DILI detection, circumventing the nonspecific elevation and delayed release of aminotransferases and then straightforwardly focusing on the core feature of DILI, abnormal gene expression caused by drug overdose. The developed full-scale platform integrates the properties of spherical nucleic acids with elaborately designed fluorescence in situhybridization sequences, enabling the sensitive and specific profiling of drug-overdosed miR-122 expression alterations across molecular, cellular, organismal, and clinical scales and effectively bypassing the phenotypic features of disease. Furthermore, the diagnostic efficacies of serum and total RNA extracted from both mouse and human blood samples for DILI diagnosis were analyzed using the receiver operating characteristic curve and principal component analysis. We anticipate that this universal platform holds potential in facilitating DILI diagnosis, therapeutic evaluation, and prognosis.

Multi-behavior recommendation systems exploit multi-type user–item interactions (e.g., clicking, adding to cart and collecting) as auxiliary behaviors for user modeling, which can alleviate the problem of data sparsity faced by traditional recommendation systems. The key point of multi-behavior recommendation systems is to make full use of the auxiliary behavior information for the learning of user preferences. However, there are two challenges in existing methods that need to be explored: (1) capturing personalized user preferences based on multiple auxiliary behaviors, especially for negative feedback signals; and (2) explicitly modeling the semantics between auxiliary and target behaviors, and learning the explicit interactions between multiple behaviors. To tackle the two problems described above, we propose a novel model, called explicit behavior interaction with heterogeneous graph for multi-behavior recommendation (MB-EBIH). In particular, we first construct a heterogeneous behavior graph, including both positive and negative behaviors. A pre-trained model based on graph neural network (GNN) is then used to generate explicit behavior interaction values as the edge weights for the heterogeneous behavior graph. These weights reflect the importance of each of the auxiliary behaviors in an explicit manner. Finally, the extracted explicit behavior interaction information is incorporated into the multi-behavior user–item bipartite graphs to learn better representations. Experimental results on four real-world datasets demonstrate the effectiveness of our model in terms of exploring multi-behavioral data; and ablation and analysis experiments further demonstrate the effectiveness of explicit behavior interaction information.

Fluorescence microscopy is one of the most important tools in the studies of cell biology and many other fields, but two fundamental issues, photobleaching and phototoxicity, associated with the fluorophores have still limited its use for long-term and strong-illumination imaging of live cells. Here, we report a new concept of fluorophore engineering chemistry, synchronous photoactivation-imaging (SPI) fluorophores, activating and exciting fluorophores by a single light source to thus avoid the repeated switches between activation and excitation lights. The chemically reconstructed, nonemissive fluorophores can be photolyzed to allow continuous replenishing of “bright-state” probes detectable by standard fluorescent microscopes in the imaging process so as to bypass the photobleaching barrier to greatly extend the imaging period. Equally importantly, SPI fluorophores substantially reduce photocytotoxicity due to the scavenging of reactive oxygen species (ROS) by a photoactivable group and the slow release of “bright-state” probes to minimize ROS generation. Using SPI fluorophores, the time-lapsed confocal (>16 h) and super-resolution (>3 h) imaging of subcellular organelles under intensive illumination (50 MW/cm2) were achieved in live cells.

Free radicals and their induced oxidative damage in living organisms are related to many diseases. Natural substances with antioxidant capacity are effective in scavenging free radicals, which could slow down aging and prevent diseases. However, the existing methods for the evaluation of antioxidant activity mostly required the use of complex instruments and operations. In this work, we proposed a unique method to determine the total antioxidant capacity (TAC) in real samples through a photosensitization-mediated oxidation system. N- and P-doped long-lived phosphorescent carbon dots (NPCDs) were developed, which exhibited the effective intersystem crossing from the singlet to the triplet state under UV light irradiation. Mechanism study confirmed that the energy of excited triplet state in NPCDs generated superoxide radicals and singlet oxygen through type I and type II photoreactions, respectively. On this basis, the quantitative determination of TAC in fresh fruits was achieved using 3,3′,5,5′-tetramethylbenzidine (TMB) as a chromogenic bridge in the photosensitization-mediated oxidation system. This demonstration will not only provide a facile way to analyze antioxidant capacity in practical samples but also broaden the applications of phosphorescent carbon dots.

Outlier detection is an important field in data mining, which can be used in fraud detection, fault detection, and other fields. This article focuses on the problem where the density peak clustering algorithm needs a manual parameter setting and time complexity is high; the first is to use the k nearest neighbors clustering algorithm to replace the density peak of the density estimate, which adopts the KD-Tree index data structure calculation of data objects k close neighbors. Then it adopts the method of the product of density and distance automatic selection of clustering centers. In addition, the central relative distance and fast density peak clustering outliers were defined to characterize the degree of outliers of data objects. Then, based on fast density peak clustering outliers, an outlier detection algorithm was devised. Experiments on artificial and real data sets are performed to validate the algorithm, and the validity and time efficiency of the proposed algorithm are validated when compared to several conventional and innovative algorithms.

Endoplasmic reticulum (ER) is an important organelle of a membranous tubule network in cells for the synthesis, assembly, and modification of peptides, proteins, and enzymes. Autophagy and destruction of ER commonly occur during normal cellular activities. These processes have been studied extensively, but the spontaneous ER regeneration process is poorly understood because of the lack of molecular tools capable of distinguishing the intact, damaged, autophagic, and regenerative ER in live cells. Herein, we report a dual-localizing, environment-responsive, and lifetime-sensitive fluorescent probe for real-time monitoring ER autophagy and regeneration in live cells. Using this tool, the fluorescence lifetime imaging can quantitatively determine the degrees of ER destruction and spontaneous recovery. Significantly, we show that triglycerides supplied in lipid droplets can efficiently repair ER via the two critical pathways: (i) supplying materials for ER repair by converting triglycerides into fatty acids and diglycerides and (ii) partially inhibiting autophagy for stressed ER.

The Huo–Xue–Hua–Yu decoction (HXHYD) prescription, which possesses good clinical properties for healing fractures, is made up of 12 types of traditional Chinese medicines (TCMs). According to the drug efficacy of TCM, HXHYD consists of four drug-group prescriptions. This study focused on the type of active mechanism in these drug groups and the type of interaction between them in HXHYD. Surface-enhanced Raman scattering (SERS) spectroscopy was employed to study the effect of the incorporation of calcium hydroxyapatite (CHA), protein and lipid groups on the repair of complete tibial fractures in rats treated with HXHYD and its drug-group prescriptions and without treatment to reveal the efficacy rule of the drug groups in the prescription. The rats were divided into seven groups, each of which was subdivided into three subgroups (evaluated on days 15, 21 and 30 after surgery). The six treatment groups were treated HXHYD, four drug-group prescriptions and Gu–Zhe–Cuo–Shang capsule therapy (treated control). SERS readings were taken at the fractured sites. The results showed that the medical ingredients in HXHYD were not the simple addition of four drug-group prescriptions and the efficacy of HXHYD was stronger than every other drug group prescription because it contained the highest content of CHA and highest carbonate-to-phosphate and phosphate-to-phenylalanine ratios among the treatment groups at all time points in comparison with the fractured control group (no treatment). Thus, the SERS technique has great potential to provide a novel method for effectively and accurately studying the efficacy rule of drug groups in one prescription with the aim to optimize prescriptions.

Stimuli-responsive smart nanocarriers are an emerging class of materials applicable in fields including drug delivery and tissue engineering. Instead of constructing responsive polymer shells to control the release and delivery of drugs, in this work, we put forward a novel strategy to endow the internal drugs with light responsivity. The microcapsule consisted of molecular motor (MM)-doped cholesteric liquid crystals (CLCs) and drugs. The drug in gelatin-gum arabic microcapsules can protect the carried drugs for a long time with a low release speed totally resulting from drug diffusion. Under UV light, the MM isomerizes and the chirality changes, inducing the alteration of the superstructure of the CLCs. In this process, the cooperative molecular disturbance accelerates the diffusion of the drugs from the microcapsule core to the outside. As a result, thanks to the cooperative effect of liquid crystalline mesogens, molecular-scale geometric changes of motors could be amplified to the microscale disturbance of the self-organized superstructure of the CLCs, resulting in the acceleration of the drug release. This method is hoped to provide opportunities in the design and fabrication of novel functional drug delivery systems.

In recent years, carbon dots (CDs) have attracted great research interest in the field of nanochemosensors due to their fascinating optical properties. However, synthesis of CDs with novel recognition groups in a convenient method is still an area to be explored urgently. In this work, we reported a simple strategy to prepare fluorescent CDs with carbon–carbon double bonds (C═C) as the characteristic structure for phenylephrine (PHE) identification and detection. The itaconic acid and polyethylenimine (PEI) were selected as precursors to fabricate highly emissive CDs under the hydrothermal cross-linking and carbonization process. The fluorescence of designed CDs at 465 nm can be effectively quenched by bromine aqueous solution due to the electrophilic addition reaction with the double bonds. On the other hand, the presence of PHE can inhibit fluorescence quenching by bromine-consumption of a substitution reaction. Inspired by the novel findings, a convenient assay for PHE determination was established using the fluorescence of C═C bond functional CDs as an output signal and bromine as a bridge. The method demonstrated here provided a unique way to develop CD-based nanosensors.

Mitochondrial matrix contains numerous metabolism-related proteins/enzymes and nucleic acids, which play key roles in the process of energy generation and signal transduction. The fluctuations in mitochondrial biomacromolecular levels lead to the changes in the mitochondrial matrix viscosity; therefore, real-time measuring the mitochondrial matrix viscosity is of great significance for the in-depth understanding of the mitochondrial physiology and pathobiology. However, investigations are limited due to the lack of a mitochondrial matrix-specific molecular rotor. Herein, we report a design of a molecular rotor that is specifically enriched in the mitochondrial matrix. The red fluorescence of the rotor switches on when the viscosity increases, enabling the real-time monitoring of the viscosity change therein. Interestingly, the rotor showed non-fluorescence behaviour in the liposome (mimicking membrane structure), avoiding fluorescence interference from the mitochondrial bilayer membrane. Super-resolution imaging reveals that the viscosity is uneven in an individual mitochondrion.

Intracellular lipid metabolism occurs in lipid droplets (LDs), which is critical to the survival of cells. Imaging LDs is an intuitive way to understand their physiology in live cells. However, this is limited by the availability of specific probes that can properly visualize LDs in vivo. Here, an LDs-specific red-emitting probe is proposed to address this need, which is not merely with an ultrahigh signal-to-noise (S/N) ratio and a large Stokes shift (up to 214 nm) but also with superior resistance to photobleaching. The probe has been successfully applied to real-time tracking of intracellular LDs behaviors, including fusion, migration, and lipophagy processes. We deem that the proposed probe here offers a new possibility for deeper understanding of LDs-associated behaviors, elucidation of their roles and mechanisms in cellular metabolism, and determination of the transition between adaptive lipid storage and lipotoxicity as well.

Since the expression level of human telomerase RNA (hTR) in tumor cells is much higher than that in normal cells, the determination of hTR is of prime importance in biological research of tumors. In this work, we report molecular beacon-functionalized gold nanoparticles for hTR imaging in live cells. The molecular beacon has a loop-and-stem structure with hTR recognition sequences and a red fluorophore Cy5. In the presence of hTR, the hTR sequence could be hybridized with the loop of molecular beacon to form a duplex DNA chain and thus the fluorescence state switched from “off” to “on”. After co-incubation with cells, the probe could readily permeate into cells, leading to the in situimaging of intracellular hTR. The proposed approach could be used to differentiate tumor cells from normal ones and assess hTR expression levels in different tumor cells. Furthermore, the proposed approach allowed us to dynamically monitor the expression level of hTR in live cells and holds great potential for application in tumor diagnosis and hTR-related drug delivery.

To detect trace trinitrotoluene (TNT) explosives deposited on various surfaces instantly and on-site still remains a challenge for homeland security needs against terrorism. This work demonstrates a new concept and its utility for visual detection of TNT particulates on various package materials. The concept takes advantages of the superior fluorescent properties of quantum dots (QDs) for visual signal output via ratiometric fluorescence, the feasibility of surface grafting of QDs for chemical recognition of TNT, and the ease of operation of the fingerprint lifting technique. Two differently sized CdTe QDs emitting red and green fluorescences, respectively, have been hybridized by embedding the red-emitting one in silica nanoparticles and covalently linking the green-emitting one to the silica surface, respectively, to form a dual-emissive fluorescent hybrid nanoparticle. The fluorescence of red QDs in the silica nanoparticles stays constant, whereas the green QDs functionalized with polyamine can selectively bind TNT by the formation of Meisenheimer complex, leading to the green fluorescence quenching due to resonance energy transfer. The variations of the two fluorescence intensity ratios display continuous color changes from yellow-green to red upon exposure to different amounts of TNT. By immobilization of the probes on a piece of filter paper, a fingerprint lifting technique has been innovated to visualize trace TNT particulates on various surfaces by the appearance of a different color against a yellow-green background under a UV lamp. This method shows high selectivity and sensitivity with a detection limit as low as 5 ng/mm2on a manila envelope and the attribute of being seen with the naked eye.

Superior photostability, minimal phototoxicity, red-shifted absorption/emission wavelengths, high brightness, and an enlarged Stokes shift are essential characteristics of top-tier organic fluorophores, particularly for long-lasting super-resolution imaging in live cells (e.g., via stimulated emission depletion (STED) nanoscopy). However, few existing fluorophores possess all of these properties. In this study, we demonstrate a general approach for simultaneously enhancing these parameters through the introduction of 9,9-dimethyl-9,10-dihydroacridine (DMA) as an electron-donating auxochrome. DMA not only induces red shifts in emission wavelengths but also suppresses photooxidative reactions and prevents the formation of triplet states in DMA-based fluorophores, greatly improving photostability and remarkably minimizing phototoxicity. Moreover, the DMA group enhances the fluorophores’ brightness and enlarges the Stokes shift. Importantly, the “universal” benefits of attaching the DMA auxochrome have been exemplified in various fluorophores including rhodamines, difluoride-boron complexes, and coumarin derivatives. The resulting fluorophores successfully enabled the STED imaging of organelles and HaloTag-labeled membrane proteins.

Precise identification and detection of cancer cells using nanoparticle probes are critically important for early cancer diagnosis and subsequent therapy. We herein develop novel folate receptor (FR)-targeted surface-enhanced Raman scattering (SERS) nanoprobes for cancer cell imaging based on a click coupling strategy. A Raman-active derivative (5,5′-dithiobis(2-nitrobenzoic acid)-N3(DNBA-N3)) is designed with a disulfide bond for covalently anchoring to the surface of hollow gold nanoparticles (HAuNPs) and a terminal azide group for facilitating highly efficient conjugation with the bioligand. Modification of HAuNPs with DNBA-N3yields monolayer coverage of Raman labels absorbed on the nanoparticle surface (HAuNP–DNBA-N3) and strong SERS signals. HAuNP–DNBA-N3can be simply and effectively conjugated with folate bicyclo[6.1.0]nonyne derivatives via a copper-free click reaction. The synthesized nanoprobes (HAuNP–DNBA–folic acid (FA)) exhibit excellent targeted capacities to FR-positive cancer cells relative to FR-negative cells through SERS mappings. The receptor-mediated delivery behaviors are confirmed by comparison with the uptake of HAuNP–DNBA-N3and free FA competition experiments. In addition to its good stability and benign biocompatibility, the developed SERS nanoprobes have great potential for applications in targeted tumor imaging.

Ubiquitin (Ub)-based fluorescent reagents are crucial to explore the activity of deubiquitinases (DUBs). Ub-Rho110-G is one of the preferred tools, whereas the current synthetic route is time-consuming. Here, we report a new semisynthetic strategy to produce Ub-Rho110-G through direct aminolysis of Boc-protected Ub-Mesna using bisglycyl-rhodamine 110. We also applied this strategy to synthesize active SUMO2-Rho110-G for the first time. Biochemical analysis demonstrated that semisynthetic Ub or SUMO-Rho110-G can be effectively used for the detection of the activity of DUBs or SUMO-specific enzymes.

As an important station of International Laser Ranging Service (ILRS), Shanghai Astronomical Observatory (SHAO) has upgraded Satellite Laser Ranging (SLR) system with high repetition rate and achieved some technological progress. There are a lot of improvements for overall system performance, such as annual observation passes, measurement precision and quality of observation data. SLR technology with repetition rate of 10 kHz is accomplished firstly in China, and space debris laser ranging technology with 200 Hz laser is promoted and proved to be more detective for weak echo, which lead to successful measurement for 40,000 km satellites and space debris within 3000 km. At the same time, SLR based on multi-telescopes and 1064 nm wavelength are planned to make a breakthrough of detection capabilities, and also to expand its application fields. These progresses will be introduced in this paper in detail.

Unveiling the synergism among multiple organelles for fully exploring the mysteries of the cell has drawn more and more attention. Herein, we developed two two-photon fluorescent bioprobes (Lyso-TA and Mito-QA), of which the conformational change triggered an “off–on” fluorescent response. Lyso-TA can real-time monitor the fusion and movement of lysosomes as well as unveil the mitophagy process with the engagement of lysosomes. Mito-QA was transformed from Lyso-TA by one-step ambient temperature reaction, visualizing the dysfunctional mitochondria through a shift from mitochondria to nucleoli. With superior two-photon absorption cross section, good biocompatibility, and greater penetration depth, two small bioprobes were both applied in in vivobioimaging of brain tissues and zebrafish.

ABSTRACTIn this study, we performed a friction pull plug welding process successfully on 8-mm-thick 2219-T87 plates. The influence of the welding process on the weld formation and defects are investigated. The defect characters, grain structures, precipitate evolutions and tensile properties of the weld are examined. It was found that the axial force plays a crucial role in influencing the weld formation and defect characters. In thermal mechanically affect zone nearby the bonding interface, the grains might be highly deformed and recrystallised owing to the severe plastic deformation. Besides, the strengthening precipitates might be dissolved during welding. Near the bonding interface, as the hardening effects from cold work and precipitation have been weakened, the hardness in this region was reduced obviously. The ultimate tensile strength and elongation of defect free welds may reach 310 MPa and 6.5% respectively. This reveals that FPPW technology has the potential for the application in aerospace industrial field.

In this study, we performed a friction pull plug welding process successfully on 8-mm-thick 2219-T87 plates. The influence of the welding process on the weld formation and defects are investigated. The defect characters, grain structures, precipitate evolutions and tensile properties of the weld are examined. It was found that the axial force plays a crucial role in influencing the weld formation and defect characters. In thermal mechanically affect zone nearby the bonding interface, the grains might be highly deformed and recrystallised owing to the severe plastic deformation. Besides, the strengthening precipitates might be dissolved during welding. Near the bonding interface, as the hardening effects from cold work and precipitation have been weakened, the hardness in this region was reduced obviously. The ultimate tensile strength and elongation of defect free welds may reach 310 MPa and 6.5% respectively. This reveals that FPPW technology has the potential for the application in aerospace industrial field.

Outlier detection is an important task in data mining with numerous applications. Recent years, the study on outlier detection is very active, many algorithms were proposed including based on clustering. However, most outlier detection algorithms based on clustering often need parameters and it is very difficult to select a suitable parameter for different data set. In order to solve this problem, an outlier detection algorithm called outlier detection based on cluster outlier factor and mutual density is proposed in this paper. The mutual density and γ density is used to construct decision graph. The data points with γ density anomalously large in decision graph are treated as cluster centres. This algorithm detect the boundary of outlier cluster using cluster outlier factor called cluster outlier factor (COF), it can automatic find the parameter. This method can achieve good performance in clustering and outlier detection which be shown in the experiments.

Visualizing and dynamic tracking lipid droplets (LDs) are of great importance to biological research. Herein, two-photon absorption fluorescent small bioprobes based on lipophilic coumarin were developed, which exhibited high selectivity toward LDs in HeLa cells. Because of good biocompatibility and excellent photostability, the probes were applied to realize specific super-resolution visualization of the intracellular LDs in HeLa cells, offering us the quantitative results of the amount and diameters of LDs as well. Furthermore, the bioprobes were capable of monitoring the movements of the LDs in real time. We believe that bioprobes would provide new avenues to designing bioimaging and biological diagnosis.

Neuronal nuclei (NeuN) protein is a key RNA-associated protein to guide the transcription of RNA and regulate mRNA splicing in neurons. However, the lack of effective labeling and tracking method has hindered the elucidation of the biological mechanism of NeuN operation in living neurons to understand correlated central nervous system disorders. Here, we report a molecular probe that can be inserted into a neighboring hydrophobic–hydrophilic region in NeuN, which upon binding becomes capable of emitting light in red region. The NeuN specificity enables the probe imaging neuronal cells in primary brain regions including hippocampus, cerebellum, midbrain, and cingulate gyrus. The probes’ optical properties are such to enable stimulated emission depletion imaging showing for the first time the 3D structure of RNA tangling into NeuN in a living neuron with tens of nanometer resolution.

Two-photon active probe to label apoptotic cells plays a significant role in biological systems. However, discrimination of live/apoptotic cells at subcellular level under microscopy remains unachieved. Here, three novel Zn(II) terpyridine-based nitrate complexes (C1–C3) containing different pull/push units were designed. The structures of the ligands and their corresponding Zn(II) complexes were confirmed by single-crystal X-ray diffraction analysis. On the basis of the comprehensive comparison, C3had a suitable two-photon absorption cross section in the near-infrared wavelength and good biocompatibility. Under two-photon confocal microscopy and transmission electron microscopy, it is found that C3could target mitochondria in living cells but immigrate into the nucleolus during the apoptotic process. This dual-functional probe (C3) not only offers a valuable image tool but also acts as an indicator for cell mortality at subcellular level in a real-time manner.

Distinguishing tumor cells from normal cells holds the key to precision diagnosis and effective intervention of cancers. The fundamental difficulties, however, are the heterogeneity of tumor cells and the lack of truly specific and ideally universal cancer biomarkers. Here, we report a concept of tumor cell detection, bypassing the specific genotypic and phenotypic features of different tumor cell types and directly going toward the hallmark of cancer, uncontrollable growth. Combining spherical nucleic acids (SNAs) with exquisitely engineered molecular beacons (SNA beacons, dubbed SNAB technology) is capable of identifying tumor cells from normal cells based on the molecular phenotype of telomerase activity, largely bypassing the heterogeneity problem of cancers. Owing to the cell-entry capability of SNAs, the SNAB probe readily achieves tumor cell detection across multiple platforms, ranging from solution-based assay, to single cell imaging and in vivosolid tumor imaging (unlike PCR that is restricted to cell lysates). We envision the SNAB technology will impact cancer diagnosis, therapeutic response assessment, and image-guided surgery.

A model integrating deep learning radiomics scores obtained from multiparametric dual-energy CT with α-fetoprotein levels of more than 100 ng/mL accurately predicted the macrotrabecular-massive subtype of hepatocellular carcinoma.

A two-photon fluorescent probe (J1) that selectively stains intracellular nucleolar RNA was screened from three water-soluble terpyridine derivatives (J1–J3) with quaternary ammonium groups. The photophysical properties of J1–J3were systemically investigated both experimentally and theoretically, revealing that J1–J3possess large Stokes shifts and the two-photon absorption action cross sections range from 38 to 97 GM in the near-infrared region. This indicates that J1could specifically stain nucleoli by targeting the nucleolar rRNA from the recognition experiments in vitro, the two-photon imaging experiments, and the stimulated emission depletion in vivo. The mechanism of action in which J1binds to the nucleolar rRNA was researched via both experiments and molecular modeling. The high binding selectivity of J1to nucleolar RNA over cytosolic RNA made this probe a potential candidate to visualize rRNA probe in the living cells.

Classical pH test papers are widely used to measure the acid–base degree of media in a qualitative or semiquantitative manner. However, the extension of portable and inexpensive methods to a wide range of analytes so as to eliminate the tediousness of instrumental assays remains unsuccessful. Here, we report a novel kind of dual-colored carbon dot (CD) ratiometric fluorescent test paper for the semiquantitative assay of copper ions (Cu2+) by a dose-sensitive color evolution. The preparation of the test paper is based on the following two interesting findings: on the one hand, residual p-phenylenediamine at the surface of as-synthesized red CDs (r-CDs) efficiently binds Cu2+ions to produce a strong visible absorption that overlaps the emission of blue CDs (b-CDs); on the other hand, the Cu2+ions render the adsorption of small b-CDs onto the surface of larger r-CDs through their dual-coordinating interactions with the surface ligands of both r-CDs and b-CDs. These two mechanisms lead to a specific spectral energy transfer to quench the fluorescence of b-CDs with a sensitive detection limit of 8.82 nM Cu2+, whereas the red fluorescence of r-CDs is unaffected as a stable internal standard. Ratiometric fluorescent test papers have been prepared using a mixture of r-CDs and b-CDs (1:7) as ink by jetprinting on a piece of paper. With the addition of Cu2+ions, the blue test paper produces a consecutive wide-colored evolution from blue to orange-red, with a dose-discerning ability as low as 25 nM.

Graphene oxide (GO) has been widely used as a fluorescence quencher, but its luminescent properties, especially tailor-made controlling emission colors, have been seldom reported due to its heterogeneous structures. Herein, we demonstrated a novel chemical oxidative strategy to tune GO emissions from brown to cyan without changing excitation wavelength. The precise tuning is simply achieved by varying reaction times of GO nanosheets in piranha solution, but there is no need for complex chromatography separation procedures. With increasing reaction times, oxygen content on the lattice of GO nanosheets increased, accompanied by the diminution of their sizes and sp2conjugation system, resulting in an increase of emissive carbon cluster-like states. Thereby, the luminescent colors of GO were tuned from brown to yellow, green, and cyan, and its fluorescent quantum yields were enhanced. The obtained multicolored fluorescent GO nanosheets would open plenty of novel applications in cellular imaging and multiplex encoding analysis.

NaV6O15 nanoplates are successfully prepared by a facile and low-cost self-combustion method, which can be considered as promising cathode materials for high capacity sodium-ion batteries (NIBs). Morphology analysis suggests that the self-combustion method leads to the NaV6O15 nanoplates possessing uniform size, with an average length of 400 nm and width of 100 nm. As the cathode materials, the NaV6O15 nanoplates exhibit a high initial discharge specific capacity of 149.48 mAh g[?]1 at a current density of 20 mA g[?]1 and remains 81.99 mAh g[?]1 after 30 cycles. The volume change is as little as 6.4%, which is demonstrated by the first-principles calculation. To understand the diffusion performance of sodium ion in NaV6O15 crystalline lattice, the diffusion coefficients of sodium ion are investigated by the electrochemical impedance spectroscopy (EIS) method and the first-principles calculation. The vacancy-hopping diffusion mechanism is proposed based on a quasi-2D energy favorable trajectory, which relieves the sodium ions diffuse along b-axis in NaV6O15 lattice with desirable activation energy of 0.481 eV.

Highly green emissive gold nanoclusters (Au NCs) are synthesized using glutathione as a stabilizing agent and mercaptopropionic acid as a ligand, and the intensity of fluorescence is specifically sensitive to lead ions. We then fabricated a ratiometric fluorescence nanohybrid by covalently linking the green Au NCs to the surface of silica nanoparticles embedded with red quantum dots (QDs) for on-site visual determination of lead ions. The green fluorescence can be selectively quenched by lead ions, whereas the red fluorescence is inert to lead ions as internal reference. The different response of the two emissions results in a continuous fluorescence color change from green to yellow that can be clearly observed by the naked eyes. The nanohybrid sensor exhibits high sensitivity to lead ions with a detection limit of 3.5 nM and has been demonstrated for determination of lead ions in real water samples including tap water, mineral water, groundwater, and seawater. For practical application, we dope the Au NCs in poly(vinyl alcohol) (PVA) film and fabricate fluorescence test strips to directly detect lead ions in water. The PVA-film method has a visual detection limit of 0.1 μM, showing its promising application for on-site identification of lead ions without the need for elaborate equipment.