Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
Simultaneous detection of biomarkers in sweat is crucial for comprehensive health assessment and personalized monitoring. However, the low sweat secretion rate and low metabolite concentrations present challenges for developing non-invasive wearable sensors. This study aims to develop a flexible wearable biosensor for simultaneous detection of low-concentration biomarkers in sweat, enabling comprehensive health assessment. This study synthesized an innovative bimetallic tungstate Ag@AgWO and evaluated its performance for detecting uric acid (UA, 10-1000 μM), dopamine (DA, 3-500 μM), and tyrosine (Tyr, 5-1000 μM). The detection limits (LODs) for DA, UA, and Tyr sensors were 3.10 μM, 8.47 μM, and 4.17 μM, respectively, with relative standard deviations (RSDs) of 4.76 %, 2.66 %, and 3.51 %, respectively. Additionally, this study designed a hydrophilic microfluidic collection system inspired by bamboo leaf structures to enhance sweat collection efficiency. Validation studies demonstrated that the wearable biosensor effectively detects UA and TA in the sweat of volunteers. We believe this research could contribute to advancing personalized healthcare by improving the convenience and effectiveness of health monitoring technologies.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.talanta.2024.127404 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Core-Periphery Detection in Multilayer Networks.
Phys Rev Lett
August 2025
Gran Sasso Science Institute, The University of Edinburgh, School of Mathematics, Edinburgh EH93FD, United Kingdom and School of Mathematics, 67100 L'Aquila, Italy.
Multilayer networks provide a powerful framework for modeling complex systems that capture different types of interactions between the same set of entities across multiple layers. Core-periphery detection involves partitioning the nodes of a network into core nodes, which are highly connected across the network, and peripheral nodes, which are densely connected to the core but sparsely connected among themselves. In this paper, we propose a new model of core-periphery structure in multilayer networks and a nonlinear spectral method that simultaneously detects the corresponding core and periphery structures of both nodes and layers in weighted and directed multilayer networks.
View Article and Find Full Text PDFRecord-High Photoluminescence Efficiency and Excellent Scintillation in Two-Dimensional Diamine Hybrid Copper(I) Halides.
ACS Appl Mater Interfaces
September 2025
Guangxi Key Lab of Processing for Nonferrous Metals and Featured Materials and Key Lab of New Processing Technology for Nonferrous Metals and Materials, Ministry of Education, School of Resources, environments and Materials, Guangxi University, Nanning 530004, China.
To date, Cu(I)-based metal halides with high photoluminescence quantum yields (PLQYs) have primarily focused on their zero-dimensional or one-dimensional structures, significantly reflecting the charge or carrier localization. Designing two-dimensional (2D) hybrid copper(I) halides remains a significant challenge for optoelectronic applications, particularly in simultaneously achieving high PLQY and exceptional structural stability. Here, we report a novel series of 2D hybrid Cu(I) halides, (TDMP)CuX (TDMP = 2,5-dimethylpiperazine and X = Cl, Br), synthesized through simple solution-cooling crystallization methods.
View Article and Find Full Text PDFEnhanced metagenomic surveillance for bovine respiratory disease pathogens and antimicrobial resistance by hybridization capture sequencing.
Appl Environ Microbiol
September 2025
Department of Biology, University of Regina, Regina, Saskatchewan, Canada.
Unlabelled: Bovine respiratory disease (BRD) is the primary disease of cattle and is responsible for most of the antibiotic use in the beef industry, both for metaphylaxis and treatment. Infection prevention and targeted treatments would benefit from detecting and identifying bacterial pathogens and, ideally, assessing antibiotic sensitivity. Here, we report success refining targeted metagenomics by hybridization capture sequencing (CapSeq) to detect and genotype bacterial pathogens and genes for antibiotic resistance in BRD.
View Article and Find Full Text PDFAn aptasensor-based fluorescent signal amplification strategy for highly sensitive detection of mycotoxins.
Anal Methods
September 2025
Key Laboratory of Biorheological Science and Technology of Ministry of Education, College of Bioengineering, Chongqing University, Chongqing 400044, P. R. China.
Aflatoxin B1 (AFB1) is one of the most toxic mycotoxins that pose great health threats to humans. Herein, an aptasensor-based fluorescent signal amplification strategy is developed for the detection of AFB1. Initially, the AFB1 aptamers labelled with carboxyfluorescein (FAM) are adsorbed onto graphene oxide (GO), triggering energy transfer.
View Article and Find Full Text PDFAnalysis of complex chromosomal structural variants through optical genome mapping integrated with karyotyping.
Front Genet
August 2025
Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Background And Objective: Parental chromosomal structural variations (SVs) represent a primary genetic factor contributing to recurrent spontaneous abortion (RSA). Individuals carrying SVs with complex chromosomal rearrangements (CCRs) typically exhibit a normal phenotype but are at an increased risk of miscarriage. Current standard clinical detection methods are insufficient for the identification and interpretation of all SV types, particularly complex and occult SVs, thereby presenting a significant challenge for clinical genetic counseling.
View Article and Find Full Text PDF