Zhikun Zhang, Zixin Wang, Pu Hou, Yapeng Cao, Zhengjie Li, Jilong Han, Runjing Liu, Yumin Liu
{"title":"Copper-metalated COFs with oxidase-like activity for colorimetric glyphosate monitoring using a handheld device.","authors":"Zhikun Zhang, Zixin Wang, Pu Hou, Yapeng Cao, Zhengjie Li, Jilong Han, Runjing Liu, Yumin Liu","doi":"10.1039/d5ay01062d","DOIUrl":null,"url":null,"abstract":"<p><p>Glyphosate (GLY), as a pesticide, is extensively utilized in farming, and excessive glyphosate residues in food pose serious toxicity to humans. Monitoring of GLY is essential for upholding food safety, public health, and ecosystem well-being. Herein, copper-based covalent organic frameworks (Cu@COFs) as nanozymes were designed to develop a colorimetric strategy for GLY monitoring. Cu@COFs were fabricated using a straightforward one-pot approach to serve as oxidase mimics for 3,3',5,5'-tetramethylbenzidine (TMB) in the presence of H<sub>2</sub>O<sub>2</sub>. In the detection system, upon the introduction of GLY, the Cu@COF-based platform presented a low-intensity color response due to the coordination between GLY and the Cu ions of Cu@COFs. The colorimetric platform demonstrated a low detection limit (LOD) of 0.5 mg L<sup>-1</sup> (3 S/N), with dual linear ranges of 0.5-7 mg L<sup>-1</sup> and 10-100 mg L<sup>-1</sup>, along with excellent sensitivity and selectivity. The proposed sensing platform was utilized to monitor foods containing GLY, including soybean, corn, and sunflower seeds. Meanwhile, a smartphone-compatible handheld device was fabricated for portable, real-time, and user-friendly GLY detection in field settings. Our detection platform provides a promising prospect for application.</p>","PeriodicalId":64,"journal":{"name":"Analytical Methods","volume":" ","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Analytical Methods","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1039/d5ay01062d","RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Glyphosate (GLY), as a pesticide, is extensively utilized in farming, and excessive glyphosate residues in food pose serious toxicity to humans. Monitoring of GLY is essential for upholding food safety, public health, and ecosystem well-being. Herein, copper-based covalent organic frameworks (Cu@COFs) as nanozymes were designed to develop a colorimetric strategy for GLY monitoring. Cu@COFs were fabricated using a straightforward one-pot approach to serve as oxidase mimics for 3,3',5,5'-tetramethylbenzidine (TMB) in the presence of H2O2. In the detection system, upon the introduction of GLY, the Cu@COF-based platform presented a low-intensity color response due to the coordination between GLY and the Cu ions of Cu@COFs. The colorimetric platform demonstrated a low detection limit (LOD) of 0.5 mg L-1 (3 S/N), with dual linear ranges of 0.5-7 mg L-1 and 10-100 mg L-1, along with excellent sensitivity and selectivity. The proposed sensing platform was utilized to monitor foods containing GLY, including soybean, corn, and sunflower seeds. Meanwhile, a smartphone-compatible handheld device was fabricated for portable, real-time, and user-friendly GLY detection in field settings. Our detection platform provides a promising prospect for application.