Fan Yang, Le Chen, Huiqian Zhou, Qingqing Zhang, Tingting Hao, Yufang Hu, Sui Wang, Zhiyong Guo
{"title":"基于目标触发的 CuAAC 点击反应,用于高灵敏度和精确检测大肠杆菌的 LF-NMR 均质传感器。","authors":"Fan Yang, Le Chen, Huiqian Zhou, Qingqing Zhang, Tingting Hao, Yufang Hu, Sui Wang, Zhiyong Guo","doi":"10.1016/j.talanta.2024.126550","DOIUrl":null,"url":null,"abstract":"<p><p>In this study, a low field nuclear magnetic resonance (LF-NMR) homogeneous sensor was constructed for detection of Escherichia coli (E. coli) based on the copper metabolism of E. coli triggered click reaction. When live E. coli was present, a large amount of Cu<sup>2+</sup> ions were transformed into Cu<sup>+</sup> via copper metabolism, which then catalyzed a Cu<sup>+</sup>-catalyzed azide-alkyne cycloaddition (CuAAC) reaction between two materials, azide group modified gadolinium oxide nanorods (Gd<sub>2</sub>O<sub>3</sub>-Az) and PA-GO@Fe<sub>3</sub>O<sub>4</sub> i.e., graphene oxide (GO) loaded with large amounts of alkynyl (PA) groups and Fe<sub>3</sub>O<sub>4</sub> nanoparticles simultaneously. After magnetic separation, unbound Gd<sub>2</sub>O<sub>3</sub>-Az was dissolved by added hydrochloric acid (HCl) to generate homogeneous Gd<sup>3+</sup> solution, enabling homogeneous detection of E. coli. Triple signal amplification was achieved through the CuAAC reaction induced by E. coli copper metabolism, functional nanomaterials, and HCl assisted homogeneous detection. Under the optimal experimental conditions, the linear range and limit of detection (LOD) for E. coli were 10-1.0 × 10<sup>7</sup> CFU/mL and 3.5 CFU/mL, respectively, and the relative standard deviations (RSDs) were all less than 2.8 %. In addition, the sensor has satisfactory selectivity, stability and practical sample application capability, providing a new approach for the LF-NMR detection of food-borne pathogenic bacteria.</p>","PeriodicalId":435,"journal":{"name":"Talanta","volume":null,"pages":null},"PeriodicalIF":5.6000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An LF-NMR homogeneous sensor for highly sensitive and precise detection of E. coli based on target-triggered CuAAC click reaction.\",\"authors\":\"Fan Yang, Le Chen, Huiqian Zhou, Qingqing Zhang, Tingting Hao, Yufang Hu, Sui Wang, Zhiyong Guo\",\"doi\":\"10.1016/j.talanta.2024.126550\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>In this study, a low field nuclear magnetic resonance (LF-NMR) homogeneous sensor was constructed for detection of Escherichia coli (E. coli) based on the copper metabolism of E. coli triggered click reaction. When live E. coli was present, a large amount of Cu<sup>2+</sup> ions were transformed into Cu<sup>+</sup> via copper metabolism, which then catalyzed a Cu<sup>+</sup>-catalyzed azide-alkyne cycloaddition (CuAAC) reaction between two materials, azide group modified gadolinium oxide nanorods (Gd<sub>2</sub>O<sub>3</sub>-Az) and PA-GO@Fe<sub>3</sub>O<sub>4</sub> i.e., graphene oxide (GO) loaded with large amounts of alkynyl (PA) groups and Fe<sub>3</sub>O<sub>4</sub> nanoparticles simultaneously. After magnetic separation, unbound Gd<sub>2</sub>O<sub>3</sub>-Az was dissolved by added hydrochloric acid (HCl) to generate homogeneous Gd<sup>3+</sup> solution, enabling homogeneous detection of E. coli. Triple signal amplification was achieved through the CuAAC reaction induced by E. coli copper metabolism, functional nanomaterials, and HCl assisted homogeneous detection. Under the optimal experimental conditions, the linear range and limit of detection (LOD) for E. coli were 10-1.0 × 10<sup>7</sup> CFU/mL and 3.5 CFU/mL, respectively, and the relative standard deviations (RSDs) were all less than 2.8 %. 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An LF-NMR homogeneous sensor for highly sensitive and precise detection of E. coli based on target-triggered CuAAC click reaction.
In this study, a low field nuclear magnetic resonance (LF-NMR) homogeneous sensor was constructed for detection of Escherichia coli (E. coli) based on the copper metabolism of E. coli triggered click reaction. When live E. coli was present, a large amount of Cu2+ ions were transformed into Cu+ via copper metabolism, which then catalyzed a Cu+-catalyzed azide-alkyne cycloaddition (CuAAC) reaction between two materials, azide group modified gadolinium oxide nanorods (Gd2O3-Az) and PA-GO@Fe3O4 i.e., graphene oxide (GO) loaded with large amounts of alkynyl (PA) groups and Fe3O4 nanoparticles simultaneously. After magnetic separation, unbound Gd2O3-Az was dissolved by added hydrochloric acid (HCl) to generate homogeneous Gd3+ solution, enabling homogeneous detection of E. coli. Triple signal amplification was achieved through the CuAAC reaction induced by E. coli copper metabolism, functional nanomaterials, and HCl assisted homogeneous detection. Under the optimal experimental conditions, the linear range and limit of detection (LOD) for E. coli were 10-1.0 × 107 CFU/mL and 3.5 CFU/mL, respectively, and the relative standard deviations (RSDs) were all less than 2.8 %. In addition, the sensor has satisfactory selectivity, stability and practical sample application capability, providing a new approach for the LF-NMR detection of food-borne pathogenic bacteria.
期刊介绍:
Talanta provides a forum for the publication of original research papers, short communications, and critical reviews in all branches of pure and applied analytical chemistry. Papers are evaluated based on established guidelines, including the fundamental nature of the study, scientific novelty, substantial improvement or advantage over existing technology or methods, and demonstrated analytical applicability. Original research papers on fundamental studies, and on novel sensor and instrumentation developments, are encouraged. Novel or improved applications in areas such as clinical and biological chemistry, environmental analysis, geochemistry, materials science and engineering, and analytical platforms for omics development are welcome.
Analytical performance of methods should be determined, including interference and matrix effects, and methods should be validated by comparison with a standard method, or analysis of a certified reference material. Simple spiking recoveries may not be sufficient. The developed method should especially comprise information on selectivity, sensitivity, detection limits, accuracy, and reliability. However, applying official validation or robustness studies to a routine method or technique does not necessarily constitute novelty. Proper statistical treatment of the data should be provided. Relevant literature should be cited, including related publications by the authors, and authors should discuss how their proposed methodology compares with previously reported methods.