Method for detecting fenitrothion pesticide residues in maize based on surface enhanced Raman spectroscopy (SERS)

Abstract

The invention relates to a method for detecting fenitrothion pesticide residues in maize based on surface enhanced Raman spectroscopy (SERS). The method comprises the following steps that (1) the fenitrothion residues in a maize contamination sample are extracted, and residue extracting solutions are obtained; (2) the SERS of all the concentrations of the residue extracting solutions is measured,and thus fenitrothion residue spectrums are obtained; (3) base lines in the fenitrothion residue spectrums are removed through a polynomial fitting algorithm, and the fenitrothion residue spectrums are preprocessed through convolution smoothing and a wavelet transform algorithm; (4) main information of the fenitrothion residue spectrums is extracted through a principal component analysis method, and the detection limit of the SERS to the fenitrothion residues in the maize is judged; and (5) an SVR regression model is established, and the fenitrothion residues in the maize are quantitatively analyzed. According to the method, the SERS and a chemometrics method are combined, and thus the fenitrothion pesticide residues in the maize are detected easily, quickly and accurately.

Description

technical field [0001] The invention relates to the technical field of pesticide residue detection, in particular to a method for detecting fenitrothion pesticide residues in corn based on SERS. Background technique [0002] Fenitrothion has good contact and stomach poisoning effects, and can control pests such as Hemiptera and Coleoptera. It is often used for pest control on corn, rice, soybeans and vegetables. Excessive and unreasonable application will cause fenitrothion residue accumulation on crops. These residues are toxic to humans and livestock, and can easily cause choline accumulation in the nervous system, manifested as nausea, vomiting, abdominal pain, diarrhea, coma, etc. Acute poisoning can also be life-threatening. Accurate detection of residues in crops is an important technical method to avoid their damage. [0003] At present, conventional detection methods for fenitrothion include gas chromatography-mass spectrometry (Gas chromatography-massspectrometer,...

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Problems solved by technology

[0003] At present, conventional detection methods for fenitrothion include gas chromatography-mass spectrometry (Gas chromatography-massspectrometer, GC-MS), high performance liquid chromatography (High performance liquid chromatography, HP-LC), although the accuracy of these methods is good, However, there are disadvantages such as the need for large-scale instruments and professional intervention, high reagent consumption, complicated sample pretreatment, and slow detection speed.

In the face of the widespread pesticide residue problem, the above methods are stretched

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