The dual detection of formaldehydes and sulfenic acids with a reactivity fluorescent probe in cells and in plants.

In order to reveal the inter-relationship between protein sulfenic acid (RSOH) and formaldehyde (FA) in different physiological processes, development of tools that are capable of respective and continuous detection for both species is highly valuable. Herein, we reported an "off-on" sensor NA-SF for dual detection of RSOH and FA in cells and plant tissues. Importantly, the highly desirable attribute of the probe NA-SF combined with TCEP, makes it possible to monitor endogenous both RSOH and FA in living cells and plants tissues. NA-SF has been applied successfully in detecting RSOH and FA at physiological concentrations in HeLa, HepG2, A549 cells. Furthermore, the application of NA-SF in evaluating the RSOH and FA level in Arabidopsis thaliana roots of different growth stages are performed. The results show that the level of RSOH and FA in Arabidopsis thaliana roots correlates well with their growth stages, which suggests that both RSOH and FA might play important roles in promoting plant growth and roots elongation. And it also implied a potential application for the biological and pathological research of RSOH and FA, especially in plant physiology. Therefore, we expect NA-SF could provide a convenient and robust tool for better understanding the physiological and pathological roles of RSOH and FA.

New results on adaptive fixed-time control for convex-delayed neural networks.

This paper studies the adaptive fixed-time synchronization issue for convex-delayed neural networks. First, the convex delay is introduced to address the state delay of neural networks in order to reflect the impacts of multiple delay components such as input transition time and switching communication. Then, a new fixed-time control method is presented to adaptively determine multi-control gains with a unified update law. Afterward, some sufficient criteria are figured out by using Lyapunov stability theorem to ensure that the delayed neural networks are fixed-timely stable. Finally, simulated examples are adopted to validate our theoretical results.

Zirconium Molybdate Nanocomposites' Sensing Platform for the Sensitive and Selective Electrochemical Detection of Adefovir.

Adefovir (ADV) is an anti-retroviral drug, which can be used to treat acquired immune deficiency syndrome (AIDS) and chronic hepatitis B (CHB), so its quantitative analysis is of great significance. In this work, zirconium molybdate (ZrMo2O8) was synthesized by a wet chemical method, and a composite with multi-walled carbon nanotubes (MWCNTs) was made. ZrMo2O8-MWCNTs composite was dropped onto the surface of a glassy carbon electrode (GCE) to prepare ZrMo2O8-MWCNTs/GCE, and ZrMo2O8-MWCNTs/GCE was used in the electrochemical detection of ADV for the first time. The preparation method is fast and simple. The materials were characterized by X-ray powder diffraction (XRD), scanning electron microscopy (SEM), energy dispersive spectroscopy (EDS) and cyclic voltammetry (CV). It was electrochemically analysed by differential pulse voltammetry (DPV). Compared with single-material modified electrodes, ZrMo2O8-MWCNTs/GCE showed a vastly improved electrochemical response to ADV. Moreover, the sensor complements the study of the electrochemical detection of ADV. Under optimal conditions, the proposed electrochemical method showed a wide linear range (from 1 to 100 µM) and a low detection limit (0.253 µM). It was successfully tested in serum and urine. In addition, the sensor has the advantages of a simple preparation, fast response, good reproducibility and repeatability. It may be helpful in the potential applications of other substances with similar structures.

Insights into the Intrinsic Factors Affecting the NIR Reflectance Based on Rylene Diimide Molecules.

A clear understanding of the relationships between molecular structure and NIR reflectance (700-2500 nm) behavior is important and highly desirable for developing appropriate NIR-reflective materials to combat NIR heat radiation from sunlight. In this research, three groups of imide-based compounds have been adopted to investigate the influence of the intrinsic molecular structures on the NIR-reflective properties. It is found out that for the compounds with alkyl groups, the NIR reflectance will increase as the degree of the conjugated backbone increases, especially for the reflectance from 1750 nm to 2500 nm. In addition, despite that the alkyl or amine groups deteriorate the NIR reflectance, the NIR reflectance varies within a certain interval and the isomers with branched alkyl groups show identical or smaller NIR reflectance than those of isomers with linear alkyl groups. For different compounds, crystallinity seems to almost have no relationship with their NIR reflectance.

Faster and More Specific: Excited-State Intramolecular Proton Transfer-Based Dyes for High-Fidelity Dynamic Imaging of Lipid Droplets within Cells and Tissues.

Lipid droplets (LDs), a type of dynamic organelle residing at the center of cellular lipid storage, have been identified to play important roles in multiple biological processes, metabolic disorders, and diseases. The highly dynamic characters of LDs were found to correspond to their physiological and pathological functions. Hence, the fluorescent probes which enable dynamic tracking of LDs should be very helpful for better understanding the mechanisms of LDs involved biological processes and diseases. Herein we present, to the best of our knowledge, the first class of excited-state intramolecular proton transfer (ESIPT) fluorescence dyes (Flp-(11-13, 19)) for dynamic imaging of LDs based on 3-hydroxyflavone (3HF) derivatives. Flp-(11-13, 19) display strong fluorescence from yellow to NIR in lipid but exhibit almost nonfluorescence in aqueous solution. Besides, they also show large Stokes shifts (>150 nm), narrow absorption and emission peaks, and good oil-water separation efficiency, which makes them specifically target and stain LDs with very low background noisy in both living cells and fixed cells. They stain intracellular LDs quite quickly (within 30 s) with very low dosage (as low as 500 nM). Benefitting from these advantages, Flp-(11-13, 19) are applied successfully in tracking the dynamic nature of LDs and accumulation of LDs in both aqueous solution and living cells, 3D imaging of LDs for visualization of their repartition within the cells, and visualizing LDs in tissues of diseases mice models including adipose, skeletal muscle, and fatty liver tissues, underscoring the potential utility of these dyes in both LDs biology research and medical diagnosis of LDs involved diseases.

CoAl-layered double hydroxide nanosheet-based fluorescence assay for fast DNA detection.

In the study, CoAl-layered double hydroxide (CoAl-LDH) was prepared as a fluorescence quenching agent to detect DNA molecules. Because of its simple preparation for a large scale, excellent surface effect, good biocompatibility and high fluorescence quenching capability, the effective, rapid, and sensitive DNA detection was realized. The fluorescence quenching efficiency of LDH to 5(6)-carboxyfluorescein attached to single stranded DNA (FAM-ssDNA) was as high as 88%, and after FAM-ssDNA hybridized with the complementary DNA oligonucleotide, that to FAM-dsDNA was about 33%. The quenching mechanisms of LDH for ssDNA and dsDNA were discussed. Phosphate exposed of ssDNA played an important role in quenching effect. Compared to dsDNA, more exposed phosphate groups in ssDNA resulted in the stronger electrostatic interaction between ssDNA and LDH, and thus the higher quenching efficiency. Under optimal conditions, the linear equation was y = 38.26 + 3.37x in a linear relationship of 1-50 nM, and the correlation coefficient R2 corresponded to 0.999, and the limit of detection was calculated to be 0.79 nM (3σ). Cytotoxicity studies have shown that LDH has good biocompatibility. The study provides an effective, sensitive and safe approach for DNA detection and gives an insight for the design of LDH-based biosensing materials.

Recurrent Neural Networks With External Addressable Long-Term and Working Memory for Learning Long-Term Dependences.

Learning long-term dependences (LTDs) with recurrent neural networks (RNNs) is challenging due to their limited internal memories. In this paper, we propose a new external memory architecture for RNNs called an external addressable long-term and working memory (EALWM)-augmented RNN. This architecture has two distinct advantages over existing neural external memory architectures, namely the division of the external memory into two parts-long-term memory and working memory-with both addressable and the capability to learn LTDs without suffering from vanishing gradients with necessary assumptions. The experimental results on algorithm learning, language modeling, and question answering demonstrate that the proposed neural memory architecture is promising for practical applications.

Visualization of Sulfane Sulfur in Plants with a Near-Infrared Fluorescent Probe.

Sulfane sulfur species are an important type of reactive sulfur species. These compounds have unique reactivity to attach reversibly to other sulfur atoms and exhibit regulatory effects in diverse biological systems. Recent studies have suggested that sulfane sulfurs are involved in signal transduction processes of hydrogen sulfide (H2S). The development of probes for selective, rapid, and sensitive detection of sulfane sulfur is of great significance for studying their physiological and pathological roles in biological systems, especially in plant systems for which physiological research has lagged behind. However, so far there is still a lack of sufficient chemical tools for directly tracking and measuring sulfane sulfur in biological systems, and in particular, the detection of sulfane sulfur in living plant tissues is still challenging. Herein, we report a near-infrared fluorescent probe, SSNIP, for the selective imaging of sulfane sulfur. SSNIP is capable of detecting sulfane sulfur at physiological concentrations in both aqueous buffer and living human cells. Then, with SSNIP, we demonstrate the fluorescent monitoring of endogenous sulfane sulfur in plant tissues such as Arabidopsis thaliana roots for the first time. Furthermore, the application of SSNIP in evaluating the level of sulfane sulfur in Arabidopsis thaliana roots at different growth stages is performed. The results show that the level of sulfane sulfur in Arabidopsis thaliana roots correlates well with their growth stages, which suggests that sulfane sulfurs might act as actual signaling molecules to promote plant growth and root elongation. In addition, it reveals potential applications for the biological and pathological studies of sulfane sulfur, especially in plant physiology.

[Time-evolution study on the cation exchange in the process of reinforcing slip soil by laser-induced breakdown spectroscopy].

In the present paper, the time evolution study on slip soils treated by different proportions of ionic soil stabilizer (ISS) water solution was conducted by the LIBS system and the relationship between the cation exchange and such engineering properties of reinforcing soil as plasticity index, cohesive force and coefficient of compressibility were analyzed. The results showed that the cation exchange velocity of the proportion of 1:200 ISS reinforcing soil is the fastest among the three proportions (1:100, 1:200 and 1:300) and the modification effect of engineering performance index is quite obvious. These studies provide an experimental basis for the ISS applied to curing project, and monitoring geotechnical engineering performance by LIBS technology also provides a new way of thinking for the curing project monitoring.