Linjie Wang,Xuechao Xu,Peng Liu,Mengzhu Wang,Xiangheng Niu,Jianming Pan
Abnormal levels of halide ions in drinking water have enormous threats to human health, and thus designing reliable and sensitive methods to quantify and distinguish these ions becomes extremely crucial. Herein, we develop a single-nanozyme colorimetric array based on target-induced differential surface passivation for the quantification and discrimination of Cl − , Br − and I − ions. Silver citrate (Ag 3 Cit) is designed as an oxidase mimic to efficiently catalyze the 3,3′,5,5′-tetramethylbenzidine (TMB) chromogenic reaction. When halide ions (Cl − , Br − and I − ) are present, due to their different precipitation interactions with the Ag(Ⅰ) entity in Ag 3 Cit, they can passivate the active surface of the nanozyme to various degrees, resulting in the inhibited TMB chromogenic reaction differentially. According to this principle, simple and efficient quantitative detection of Cl − , Br − and I − ions was achieved, with all the detection limits down to the nM level. By employing Ag 3 Cit as a single sensing element, a nanozyme catalysis-based colorimetric array was further established, and both individual and mixed ions were successfully distinguished by integrating the array with principal component analysis . Accurate identification of unknown samples was also verified via a double-blind protocol, indicating potential applications of the array in practice.
Pan Yalong,Han Lijun,Shen Junxue,Li Jing,Sun Taolei,Yu Yao
Pesticide contamination is a global challenge, threatening agricultural production and environmental safety. To address the urgent need for efficient and reliable pesticide detection methods, we developed a novel multi-channel colorimetric sensor array based on HAuCl 4 -mediated oxidation reactions. This innovative system incorporates six distinct colorimetric channels coupled with advanced multivariate statistical analysis, enabling simultaneous detection and discrimination of multiple pesticide residues. Through systematic optimization of key reaction parameters, the developed sensor improved selectivity and classification accuracy, particularly for structurally similar pesticides. The platform successfully identifies 11 different classes of pesticides and distinguishes five specific pesticides across various concentration levels. This approach overcomes the limitations of traditional single-target detection methods by employing multi-parameter analysis for accurate pesticide identification. Notably, the proposed method offers several practical advantages, including simple operation, rapid detection (within 30 min), high sensitivity (detection limits of 6 μg/mL), and cost-effectiveness by eliminating the need for expensive instrumentation. These features make the developed sensor array particularly suitable for on-site pesticide screening and food safety monitoring applications. Graphical
危险品化学品经营许可证（带存储）