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Glucose oxidase (GOx), which specifically catalyzes glucose oxidation, has been widely employed in constructing various biosensors for clinical screening of diseases such as diabetes and tumors. However, current GOx-based glucose detection methods suffer from limitations including high costs and tedious multi-step procedures. In this work, we developed a facile green aqueous-phase synthesis of Au-doped MoS nanomaterials with dual-enzyme activities. The planar structure of MoS serves as an excellent support for Au deposition, ensuring good dispersion stability. Moreover, Au doping endows the material with GOx-like activity, while the hybrid nanostructure exhibits enhanced peroxidase-like activity due to interfacial interactions in the bimetallic system. The as-prepared Au-MoS nanozyme can trigger a self-cascading reaction, enabling one-step colorimetric glucose detection with a wide linear range and an ultralow detection limit of 0.09 mM. More importantly, practical tests using biological samples (including hepatocellular carcinoma cells and diabetic urine samples) demonstrate the excellent potential for real-world applications. This newly developed material significantly reduces both the time and cost of glucose detection while maintaining good stability and reproducibility, showing promising prospects for clinical diagnostics.
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http://dx.doi.org/10.1007/s00216-025-06013-9 | DOI Listing |
Xenobiotica
September 2025
Department of Pharmacy, Binhai County People's Hospital, Yancheng 224500, China.
To study the effects of calycosin on palmitic acid-induced HepG2 cells, as well as the potential mechanisms of action. Potential targets of calycosin for the alleviation of insulin resistance were predicted by network pharmacology. Glucose concentration in the culture medium was determined by the GOD-POD method.
View Article and Find Full Text PDFEur Radiol
September 2025
Department of Ultrasound, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, China.
Objectives: To evaluate the predictive role of carotid stiffening, quantified using ultrafast pulse wave velocity (ufPWV), for assessing cardiovascular risk in young populations with no or elevated cardiovascular risk factors (CVRFs).
Materials And Methods: This study enrolled 180 young, apparently healthy individuals who underwent ufPWV measurements. They were classified into three groups: the CVRF-free group (n = 60), comprising current non-smokers with untreated blood pressure < 140/90 mmHg, fasting blood glucose (FBG) < 7.
Background: Hemoglobin A1c (HbA1c) is a stable compound, which is an important indicator for diagnosing glycemia, evaluating blood glucose control in patients with diabetes, and guiding the formulation of treatment plans. However, the detection of HbA1c is easily affected by many factors, resulting in a false increase or decrease, which affects the accuracy of test results.
Methods: In this paper, two abnormal HbA1c results were detected in the laboratory, which did not match the blood glucose detected at the same time.
J Biophotonics
September 2025
Institute of Photonics and Photon-Technology, Northwest University, Xi'an, China.
Non-invasive glucose monitoring using Raman spectroscopy with 830 nm excitation presents a promising alternative to traditional fingerstick methods for diabetes management research. An integrated in vivo Raman system enables transcutaneous glucose detection and has demonstrated robust performance in oral glucose tolerance tests (OGTT), validating its reliability. Inter-subject correlation between spectral features and glucose concentration was addressed by the intensity of the fingerprint peak (I), peak intensity ratio (I/I), and the spectral area ratio (S/S), whose correlation coefficient (R) was 0.
View Article and Find Full Text PDFBioimpacts
August 2025
Electrical Department, Shahrood University of Technology, Shahrood, Iran.
Introduction: Accurate and non-invasive blood glucose estimation is essential for effective health monitoring. Traditional methods are invasive and inconvenient, often leading to poor patient compliance. This study introduces a novel approach that leverages systolic-diastolic framing Mel-frequency cepstral coefficients (SDFMFCC) to enhance the accuracy and reliability of blood glucose estimation using photoplethysmography (PPG) signals.
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