检出限
再现性
西维因
相关系数
电极
信号(编程语言)
农药残留
分析化学(期刊)
电化学气体传感器
化学
计算机科学
电化学
杀虫剂
色谱法
物理化学
机器学习
农学
程序设计语言
生物
作者
Min Zhang,Zeyuan Zhang,Yanjing Yang,Yi Zhang,Yufei Wang,Xinyi Chen
出处
期刊:Sensors
[MDPI AG]
日期:2020-03-10
卷期号:20 (5): 1524-1524
被引量:16
摘要
Accurate analysis of pesticide residue in real samples is essential for food safety and environmental protection. However, a traditional electrochemical sensor based on single-signal output is easily affected by background noise, environmental conditions, electrode diversity, and a complex matrix of samples, leading to extremely low accuracy. Hence, in this paper, a ratiometric strategy based on dual-signal output was adopted to build inner correction for sensing of widely-used carbaryl (CBL) for the first time. By comparison, Nile blue A (NB) was selected as reference probe, due to its well-defined peak, few effects on the target peak of CBL, and excellent stability. The effects of a derivatization method, technique mode, and pH were also investigated. Then the performance of the proposed ratiometric sensor was assessed in terms of three aspects including the elimination of system noise, electrode deviation and matrix effect. Compared with traditional single-signal sensor, the ratiometric sensor showed a much better linear correlation coefficient (r > 0.99), reproducibility (RSD < 10%), and limit of detection (LOD = 1.0 μM). The results indicated the introduction of proper reference probe could ensure the interdependence of target and reference signal on the same sensing environment, thus inner correction was fulfilled, which provided a promising tool for accurate analysis.
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