期刊
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
卷 69, 期 5, 页码 1667-1674出版社
AMER CHEMICAL SOC
DOI: 10.1021/acs.jafc.0c06513
关键词
pesticides; SERS chip; dual mode; self-cleaning; random frog partial least square
资金
- Independent innovation fund project of agricultural science and technology in Jiangsu Province [CX(20)2005]
- key R&D Program of Jiangsu Province [BE2020379]
This study developed a dual-functional SERS chip for rapid detection and degradation of pesticides in tea samples, utilizing Cu2O mesoporous spheres decorated with Ag nanoparticles. Three chemometric algorithms were compared for pesticide analysis, with random frog-partial least squares showing the best performance. The prepared SERS chip also exhibited strong photocatalytic activity for pesticide degradation under visible light irradiation.
Pesticide residues in food have been a grave concern to consumers. Herein, we have developed a dual-mode SERS chip using Cu2O mesoporous spheres decorated with Ag nanoparticles (MCu2O@Ag NPs) as both sensing and degradation/clearing unit for rapid detection of pymetrozine and thiram pesticides in tea samples. Three kinds of chemometric algorithms were comparatively applied to analyze the collected SERS spectra of pesticides. In comparison, random frog-partial least squares achieved the best performance with root mean square error of prediction and residual predictive deviation values of 0.9871, 6.17, and 0.9873, 6.64 for pymetrozine and thiram, respectively. Additionally, the prepared SERS chip showed great photocatalytic activity to degrade pesticides under visible light irradiation. Through a facile method, this work presented a novel dual-functional SERS chip for the rapid detection and degradation of low-concentration pesticides in both environmental and food samples.
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