{"title":"Amino acid regulation of peroxidase-like activity of Cu<sub>2</sub>O nanozyme for detection of tetracycline antibiotics.","authors":"Yueqiang Wang, Shengwei Sun","doi":"10.1007/s00216-025-05904-1","DOIUrl":null,"url":null,"abstract":"<p><p>Tetracycline antibiotics (TCs) are widely used in medicine, agriculture, and animal husbandry. However, their overuse has led to environmental pollution, posing a significant threat to water sources, soil, and food safety. Therefore, there is an urgent need for efficient, sensitive, simple, and low-cost detection methods for environmental pollution monitoring. In this study, the catalytic activity of copper-based nanozymes was regulated by AAs. Lysine, aspartic acid, glycine, and arginine were chosen as ligands to synthesize different copper-based nanozymes. The results showed that the type of amino acid significantly influenced the particle size, morphology, and peroxidase (POD)-like catalytic activity of Cu₂O. Based on these amino acid-regulated Cu₂O nanozymes, we further developed a highly sensitive, easy-to-use, and low-cost colorimetric sensor array that can effectively distinguish TCs. This sensor array was successfully validated in binary mixtures and wastewater environments. This study not only provides important insights into the small-molecule regulation of copper-based nanozyme catalytic performance but also offers a novel approach for the detection of TCs in environmental monitoring.</p>","PeriodicalId":462,"journal":{"name":"Analytical and Bioanalytical Chemistry","volume":" ","pages":""},"PeriodicalIF":3.8000,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Analytical and Bioanalytical Chemistry","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1007/s00216-025-05904-1","RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
Tetracycline antibiotics (TCs) are widely used in medicine, agriculture, and animal husbandry. However, their overuse has led to environmental pollution, posing a significant threat to water sources, soil, and food safety. Therefore, there is an urgent need for efficient, sensitive, simple, and low-cost detection methods for environmental pollution monitoring. In this study, the catalytic activity of copper-based nanozymes was regulated by AAs. Lysine, aspartic acid, glycine, and arginine were chosen as ligands to synthesize different copper-based nanozymes. The results showed that the type of amino acid significantly influenced the particle size, morphology, and peroxidase (POD)-like catalytic activity of Cu₂O. Based on these amino acid-regulated Cu₂O nanozymes, we further developed a highly sensitive, easy-to-use, and low-cost colorimetric sensor array that can effectively distinguish TCs. This sensor array was successfully validated in binary mixtures and wastewater environments. This study not only provides important insights into the small-molecule regulation of copper-based nanozyme catalytic performance but also offers a novel approach for the detection of TCs in environmental monitoring.
期刊介绍:
Analytical and Bioanalytical Chemistry’s mission is the rapid publication of excellent and high-impact research articles on fundamental and applied topics of analytical and bioanalytical measurement science. Its scope is broad, and ranges from novel measurement platforms and their characterization to multidisciplinary approaches that effectively address important scientific problems. The Editors encourage submissions presenting innovative analytical research in concept, instrumentation, methods, and/or applications, including: mass spectrometry, spectroscopy, and electroanalysis; advanced separations; analytical strategies in “-omics” and imaging, bioanalysis, and sampling; miniaturized devices, medical diagnostics, sensors; analytical characterization of nano- and biomaterials; chemometrics and advanced data analysis.