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A highly sensitive and colorimetric fluorescent sensor for visualizing Zn in aqueous solution.
Spectrochim Acta A Mol Biomol Spectrosc
January 2025
College of Chemistry and Chemical Engineering, Qiqihar University, Qiqihar 161006 China. Electronic address:
A new colorimetric fluorescent sensor QPEBT was developed by merging the N,N-di(2-picolyl)ethane-1,2-diamine and 2,2'-bithiophene moieties into the quinolimide backbone. QPEBT could sensitively detect Zn through the remarkable fluorescence enhancement with distinct color changes from light orange to pink in visible light and from ginger to orange-yellow in 365 nm UV irradiation. The 1:1 stoichiometry between QPEBT and Zn was verified by the spectra titrations, Job's and HRMS analyses, and theoretical calculations.
View Article and Find Full Text PDFDiscriminative ion detection of Hg and Cu and selective recognition of PO ions: Real time monitoring in food and water samples and molecular keypad lock integration.
Spectrochim Acta A Mol Biomol Spectrosc
January 2025
Supramolecular Chemistry Laboratory, Department of Chemistry, National Institute of Technology Karnataka (NITK) Surathkal, Srinivasnagar, Mangalore, Karnataka 575 025, India.
A series of sensors, designated S3R1-S3R4, were designed and synthesized for the detection of PO ions and toxic metals, specifically Hg and Cu ions. The colorimetric detection of PO ions using these sensors exhibited a distinct visual color transition from yellow to purple in organo-aqueous media. The intrinsic cavity-like structure in the thiosemicarbazide-based derivative S3R4 significantly enhances the binding affinity for Hg and Cu ions in organic media.
View Article and Find Full Text PDFA miniaturized colorimetric-photoacoustic dual-mode device for point-of-care testing of ascorbic acid and ascorbate oxidase.
Anal Chim Acta
March 2025
The Radiology Department of Shanxi Provincial People's Hospital Affiliated to Shanxi Medical University, Taiyuan, 030001, China. Electronic address:
Background: Real-time and rapid detection of ingredients in food has important significance for food safety. However, traditional detection methods not only require bulky and costly instruments but also are often based on single-mode analysis, limiting their accuracy and applications in point-of-care testing. Herein, an integrated and miniaturized dual-mode device based on colorimetric and photoacoustic (PA) principles is developed, using Au@Ag nanoparticles (Au@AgNPs) as signal probe and ascorbic acid (AA) and ascorbate oxidase (AAO) as analytes.
View Article and Find Full Text PDFMicroplastics in Cuban freshwaters: Diversity, temporal changes, and effects on extracellular enzymatic activity.
Environ Pollut
January 2025
Universidad de Alcalá, Departamento de Química Analítica, Química Física e Ingeniería Química, Ctra. Madrid-Barcelona Km. 33.600, Madrid, 28871, Alcalá de Henares, Spain.
Plastics, as synthetic polymers, are emerging contaminants that can harm organisms and ecosystems. This study investigates the presence of microplastics in sediments of two rivers in western Cuba, assessing their temporal variability, diversity, and characterizing the types of microplastics in these ecosystems. Additionally, the study examines the relationship between microplastic concentrations, the extracellular enzymatic activity of benthic microbial communities, and nutrient levels in sediments.
View Article and Find Full Text PDFA stretchable, adhesive, and wearable hydrogel-based patches based on a bilayer PVA composite for online monitoring of sweat by artificial intelligence-assisted smartphones.
Talanta
January 2025
Department of Materials Science and Engineering, Sharif University of Technology, Azadi Avenue, Tehran, 14588-89694, Iran; Center for Bioscience and Technology, Institute for Convergence Science and Technology, Sharif University of Technology, Tehran, 14588-89694, Iran; Fraunhofer Institute for Manufacturing Technology and Advanced Materials, 28359, Bremen, Germany. Electronic address:
Real-time monitoring of sweat using wearable devices faces challenges such as limited adhesion, mechanical flexibility, and accurate detection. In this work, we present a stretchable, adhesive, bilayer hydrogel-based patch designed for continuous monitoring of sweat pH and glucose levels using AI-assisted smartphones. The patch is composed of a bottom PVA hydrogel layer functionalized with colorimetric reagents and glucose oxidase enzyme, while the top PVA-sucrose layer enhances skin adhesion and protects against air moisture.
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