Publications by authors named "Shihong Chen"

Dual mode detection can overcome the poor anti-interference ability of single-mode detection, and greatly improve the detection accuracy. Fluorescence/electrochemiluminescence (FL/ECL) dual mode detection combines the advantages of FL and ECL, and has a promising application in bioanalysis. Common FL/ECL dual mode detection used different signal probes.

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Background: The near-infrared electrochemiluminescence (NIR-ECL) has excellent penetration and near zero background interference, and has shown unique advantages in clinical medicine and bioimaging. Among various types of NIR-ECL emitters, NIR organic dyes have arouse the concern of researchers due to their adjustable structure and diverse optical properties. However, the currently available NIR dyes usually have inherent self-quenching effect and poor photostability, so their ECL efficiency is low, and it is a great challenge to improve their ECL performance.

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In the realm of precision cattle health monitoring, this paper introduces the development and evaluation of a novel wearable continuous health monitoring device designed for cattle. The device integrates a sustainable solar-powered module, real-time signal acquisition and processing, and a storage module within an animal ergonomically designed curved casing for non-invasive cattle health monitoring. The curvature of the casing is tailored to better fit the contours of the cattle's neck, significantly enhancing signal accuracy, particularly in temperature signal acquisition.

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  • Exercise plays a crucial role in affecting emotional responses, particularly in reducing depression, but the specific neural pathways involved are not yet clearly understood.
  • The study identifies a tri-synaptic pathway that connects sensory inputs from the dorsal root ganglia to key brain areas associated with mood regulation, showing that this pathway is activated during exercise.
  • Results indicate that exercise not only reduces depressive and anxiety-like behaviors in mice but also enhances synaptic plasticity within this pathway, highlighting a potential mechanism for the antidepressant effects of physical activity.
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Background: Effective targets for systolic blood-pressure control in patients with type 2 diabetes are unclear.

Methods: We enrolled patients 50 years of age or older with type 2 diabetes, elevated systolic blood pressure, and an increased risk of cardiovascular disease at 145 clinical sites across China. Patients were randomly assigned to receive intensive treatment that targeted a systolic blood pressure of less than 120 mm Hg or standard treatment that targeted a systolic blood pressure of less than 140 mm Hg for up to 5 years.

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  • The use of bio-based materials like polylactic acid (PLA) can help conserve fossil resources and cut carbon emissions, but PLA's limited toughness has hindered its industrial use.
  • Researchers synthesized a hyperbranched polyester (MCC-EHBP) to enhance the compatibility and toughness of PLA when blended with bio-based polyamide 11 (PA11).
  • The resulting PLA/PA11/MCC-EHBP blend significantly improved mechanical properties with tensile and impact strength increases of 36.9% and 241.7%, and also raised the decomposition temperature and activation energy of PLA, indicating better heat resistance.
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  • PFASs are persistent micropollutants that pose serious environmental and health risks due to their stability and ability to accumulate, even at extremely low levels.
  • Current detection methods for PFASs struggle with sensitivity and signal amplification, highlighting the need for improved techniques.
  • A novel aptamer-recognition-driven nucleic acid strategy has been developed that significantly enhances the detection of perfluorooctanoic acid (PFOA), achieving a detection limit as low as 1.97 × 10 M, thus offering a more effective approach for monitoring trace levels of PFOA in water.
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  • The study introduces a novel step pulse (SP) method that enables electrochemiluminescence (ECL) reactions to occur at a lower triggering potential (+0.75 V) for poly [(9,9-dioctyl-fluorenyl-2,7-diacyl)--co-(9-hexyl-3,6-carbazole)] nanoparticles (PFA NPs).
  • This method is contrasted with traditional cyclic voltammetry, which requires a higher triggering potential exceeding +1.25 V and demonstrates significant improvement in ECL performance.
  • The PFA NPs are integrated into a biosensing platform to detect phosphorylated Tau (p-Tau), a marker for Alzheimer's disease, achieving a remarkably low limit
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  • Polyfluorene and its derivatives (PFs) are popular materials for electrochemiluminescence (ECL) due to their ability to be modified easily, high efficiency, background stability, and safety, making them suitable for sensing and imaging.
  • Existing PFs in bioanalysis require high triggering voltages (>1.0 V) which cause interference and can compromise the accuracy of biological measurements.
  • This study presents poly(3,4-ethylenedioxythiophene) (PEDOT) as a solution that lowers the triggering voltage of PFBT nanoparticles to +0.78 V, enabling highly sensitive detection of malathion with a detection limit of 22 fg/mL and providing a new
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  • - The study focuses on the creation of a new conductive polymer, poly(3-alkoxythiophene) (P3(TEG)T), combined with single-walled carbon nanotubes (SWCNTs) to enhance the performance of wearable electronic devices.
  • - Through various techniques like DFT calculations and Raman spectroscopy, researchers found that the interaction between P3(TEG)T and SWCNTs improved conductivity and created a continuous conductive network within the composite materials.
  • - The best-performing composite, P4/SWCNTs-0.9, achieved impressive thermoelectric results with a high power factor and output power, indicating potential for high-performance flexible organic thermoelectric applications.
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In this work, up- and down-conversion dual-emission CDs without rare-earth (UD D-CDs) were synthesized using RhB and 1,4-Diaminoanthraquinone as precursors. The synthesized UD D-CDs exhibited dual emissions at 496 and 580 nm under 260 and 865 nm excitation, respectively. The fluorescence emission mechanism, including contributions from carbon nuclei, surface states, molecular states, and internal defect states, was discussed through the separation and purification of UD D-CDs.

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Intracellular detection and imaging of microRNAs (miRNAs) with low expression usually face the problem of unsatisfactory sensitivity. Herein, a novel dual-function DNA nanowire (DDN) with self-feedback amplification and efficient signal transduction was developed for the sensitive detection and intracellular imaging of microRNA-155 (miRNA-155). Target miRNA-155 triggered catalytic hairpin assembly (CHA) to generate plenty of double-stranded DNA (dsDNA), and a trigger primer exposed in dsDNA initiated a hybridization chain reaction (HCR) between four well-designed hairpins to produce DDN, which was encoded with massive target sequences and DNAzyme.

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Introduction: Glucose-6-phosphate dehydrogenase (G6PD) deficiency is a common X-linked hereditary disorder in southern China. However, the incidence rate of G6PD deficiency and the frequency of the most common gene variants vary widely. The purpose of this study was to investigate the prevalence, genotype, and phenotypic features of G6PD deficiency in neonates in Fujian province, southeastern China.

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  • The interlayer twist angle significantly affects exciton lifetimes in van der Waals heterostructures, specifically in MoSe/WS.
  • At smaller angles, excitons become hybridized, leading to longer lifetimes (increasing from 0.5 ns to 3.3 ns as the angle decreases from 12° to 1°).
  • This research highlights the need for further investigation into how twist angles influence exciton dynamics, which could improve the performance of optoelectronic devices.
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  • Nasopharyngeal carcinoma with bone marrow metastasis has a very poor prognosis, making treatment challenging and necessitating personalized strategies.* -
  • A case study of a 64-year-old man with recurrent nasopharyngeal carcinoma showed that an immunotherapy combination of pembrolizumab and low-dose cisplatin led to an initial positive response.* -
  • The patient eventually achieved complete remission after transitioning to standard chemotherapy combined with pembrolizumab, demonstrating the effectiveness of tailored treatment in serious cases.*
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  • Hybrid excitons are promising for use in semiconductors due to their strong oscillation strength and long lifetimes, making them ideal for information transfer in exciton-based devices.
  • The research involves modifying layer hybridization in MoSe/WS heterostructures using electric fields, successfully regulating the exciton lifetime from 1.36 to 4.60 ns.
  • Findings highlight the impact of electric fields and excitation power on hybrid exciton lifetimes, which is crucial for developing efficient optoelectronic devices using transition-metal dichalcogenide materials.
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Chloramphenicol (CAP) poses a threat to human health due to its toxicity and bioaccumulation, and it is very important to measure it accurately and sensitively. This work explored a host-guest recognition strategy to mediate dual aggregation-induced electrochemiluminescence (AIECL) of 1,1,2,2-tetrakis(4-(pyridin-4-yl) phenyl)-ethene (TPPE) for ratio detection of CAP, in which, cucurbit[8]uril (CB[8]) served as host to assemble guest TPPE. The resulting supramolecular complex CB[8]-TPPE exhibited excellent dual-AIECL-emission with signal strength approximately four times that of TPPE aggregates and black hole quencher-1 (BHQ1) could efficiently quench dual-AIECL signal.

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The continuous evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which caused the recent pandemic, has generated countless new variants with varying fitness. Mutations of the spike glycoprotein play a particularly vital role in shaping its evolutionary trajectory, as they have the capability to alter its infectivity and antigenicity. We present a time-resolved statistical method, Dynamic Expedition of Leading Mutations (deLemus), to analyze the evolutionary dynamics of the SARS-CoV-2 spike glycoprotein.

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  • Drug-drug interactions can negatively impact treatment effectiveness, leading to side effects or worsening diseases, but most existing methods focus only on whether drugs interact, not on the specific risk levels of their combinations.
  • The study introduces MathEagle, a new approach utilizing advanced graph learning techniques and neural networks to accurately predict risk levels of drug combinations by considering the drugs' features and interactions.
  • MathEagle shows high effectiveness with an accuracy of 85.85% and an AUC of 0.9701, outperforming other models, and is available for free use to help improve clinical medication decisions and patient outcomes.
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With the increasing prevalence of type 2 diabetes mellitus (T2DM), it has become critical to identify effective treatment strategies. In recent years, the novel oral hypoglycaemic drug Imeglimin has attracted much attention in the field of diabetes treatment. The mechanisms of its therapeutic action are complex and are not yet fully understood by current research.

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  • The study focuses on creating flexible thermoelectric materials by synthesizing polythiophene derivatives (P3MBTEMT) with branched ethylene glycol side-chains and combining them with single-walled carbon nanotubes (SWCNTs).
  • Results showed that P3MBTEMT had better thermoelectric properties and interactions with SWCNTs compared to a similar polymer (P3(TEG)T) due to its branched structure, leading to a higher power factor and output power in thermoelectric devices.
  • The findings suggest that incorporating polar branched side-chains into conjugated polymers can significantly enhance both mechanical and thermoelectric performance, offering a novel approach to developing high-performance flexible thermoelectric
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  • * This novel Ir-CB[8] complex enhances AIECL efficiency and structural stability, allowing it to function effectively in a sensing system for detecting microRNA-16.
  • * The designed sensing mechanism involves a DNA walker that activates upon the presence of microRNA-16, enabling sensitive detection by restoring the light emission of the Ir-CB[8] complex, showcasing a promising method for bioassay applications.
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Urinary tract infections (UTIs), which can lead to pyelonephritis, urosepsis, and even death, are among the most prevalent infectious diseases worldwide, with a notable increase in treatment costs due to the emergence of drug-resistant pathogens. Current diagnostic strategies for UTIs, such as urine culture and flow cytometry, require time-consuming protocols and expensive equipment. We present here a machine learning-assisted colorimetric sensor array based on recognition of ligand-functionalized Fe single-atom nanozymes (SANs) for the identification of microorganisms at the order, genus, and species levels.

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