免疫分析
检出限
阿特拉津
化学
IC50型
色谱法
抗体
分子生物学
生物
生物化学
免疫学
杀虫剂
农学
体外
作者
Jia Kang,Meng Qi,Yasen Wang,Linchun Li,Xinda Zhou,Bruce D. Hammock,Bruce D. Hammock,Jinlin Zhang,Jingqian Huo,Jingqian Huo
出处
期刊:Mikrochimica Acta
[Springer Science+Business Media]
日期:2025-08-15
卷期号:192 (9): 593-593
被引量:2
标识
DOI:10.1007/s00604-025-07447-9
摘要
Abstract Atrazine, one of the mostly used herbicides globally, is characterized as long residual effects on sensitive crops such as wheat, soybeans, and sweet potatoes. Also, its prolonged residues in the environment can jeopardize the health of non-target organisms and the safety of environmental ecosystems. Therefore, it is important to develop efficient and sensitive methods to detect trace atrazine in the environment. In this study, the nanobodies specifically recognizing atrazine were successfully obtained through immunize alpaca and phage display libraries, and an indirect competitive immunoassay (ic-ELISA) based on nanobodies was constructed with an IC50 of 0.062 µg/mL and a minimum detection limit of 0.01 µg/mL. Meanwhile, an Au@PtNPs with excellent colorimetric performance, high catalytic activity, and high stability was synthesized. The combination of Au@PtNPs and nanobodies led to the development of a direct competitive immunoassay (dc-ELISA) with higher specificity, convenience, lower cost and an IC50 value of 0.032 µg/mL which was lower than the ic-ELISA. Based on the Au@PtNPs and nanobodies, a novel LFIA model for qualitative and semi-quantitative detection of atrazine was constructed with a minimum detection limit of 5 ng/mL. The present study is of great significance for the construction of atrazine immunoassay combining nanobodies and nanoenzymes, which provides a sensitive, specific, simple and reliable method for the detection of atrazine in the environment.
科研通智能强力驱动
Strongly Powered by AbleSci AI