Hebei Key Laboratory of Public Health Safety, College of Public Health, Hebei University, Baoding, 071002 Hebei, China.
State Key Laboratory of New Pharmaceutical Preparations and Excipients, Key Laboratory of Medicinal Chemistry and Molecular Diagnosis of the Ministry of Education, College of Chemistry and Materials Science, Hebei University, Baoding, 071002 Hebei, China.
J Agric Food Chem. 2024 Oct 23;72(42):23024-23038. doi: 10.1021/acs.jafc.4c06107. Epub 2024 Oct 13.
Thiram, as one widely used dithiocarbamate pesticide, has been considered seriously detrimental to food safety and human health because of poor efficiency, nonstandard/superfluous usage, and lack of a targeting effect. Developing high-performance sensors for thirams is strongly needed. With the rapid development of chemistry, biology, and materials science, many sensors have been constructed for thiram with high sensitivity and selectivity. Regarding the energy form of the signal, recognition mode, and detection principle, recent advances in the design and construction of optical and electrochemical sensors for thiram are summarized in this review, including colorimetric, luminescent, chemiluminescent, and electrochemical sensors. The advantages and disadvantages of the sensors for thiram including sensitivity, ability to avoid interference, recognition mechanism, signal output mode, and practicability are clarified in detail. Furthermore, the challenges faced, effective restrictions, and next direction of development are proposed for achieving more sensitive and selective analysis of thiram with less interference. We desire that this review will supply a solid theoretical basis and inspiration to generate innovative thinking for achieving new progress on thiram assays and the commercialization of the developed sensors in the future.
代森联作为一种广泛使用的二硫代氨基甲酸盐类农药，由于效率低下、使用不规范/过量以及缺乏靶向效应，已被认为严重危害食品安全和人体健康。因此，开发高性能的代森联传感器迫在眉睫。随着化学、生物学和材料科学的飞速发展，已经构建了许多用于代森联的具有高灵敏度和选择性的传感器。本文综述了近年来光学和电化学传感器在设计和构建方面的最新进展，包括比色、发光、化学发光和电化学传感器，主要从信号的能量形式、识别模式和检测原理等方面总结了代森联的设计和构建。详细阐明了代森联传感器在灵敏度、抗干扰能力、识别机制、信号输出模式和实用性等方面的优缺点。此外，还针对实现更灵敏、更有选择性且干扰更小的代森联分析提出了所面临的挑战、有效的限制因素以及未来的发展方向。希望本文的综述能够为实现代森联分析的新进展以及未来开发的传感器的商业化提供坚实的理论基础和创新思路。
