Qualitative and quantitative analysis of four benzimidazole residues in food by surface-enhanced Raman spectroscopy combined with chemometrics

[Display omitted] •A strategy was developed to distinguish and quantitate four kinds of BMZs residues in corn.•The Fe3O4@SiO2@Ag-SH substrate was prepared for SERS measurements.•PCA, PLS-DA and FCM models were established to classify and identify CBZ, BN, THM and TBZ.•PLSR and SVR were employed for...

Full description

Saved in:
Bibliographic Details
Published in:Food chemistry 2023-10, Vol.424, p.136479-136479, Article 136479
Main Authors: Wang, Tianyao, Xie, Chuangjie, You, Qian, Tian, Xingguo, Xu, Xiaoyan
Format: Article
Language:English
Subjects:
Benzimidazole pesticides
Benzimidazoles - analysis
Chemometrics
Metal Nanoparticles - chemistry
Silicon Dioxide
Simultaneous detection
Spectrum Analysis, Raman - methods
Sulfhydryl functionalization
Surface-enhanced Raman spectroscopy
Thiabendazole - analysis
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:[Display omitted] •A strategy was developed to distinguish and quantitate four kinds of BMZs residues in corn.•The Fe3O4@SiO2@Ag-SH substrate was prepared for SERS measurements.•PCA, PLS-DA and FCM models were established to classify and identify CBZ, BN, THM and TBZ.•PLSR and SVR were employed for quantitative analysis of BMZs residues. In this study, surface-enhanced Raman spectroscopy (SERS) combined with chemometric methods were developed for qualitative and quantitative analysis of four benzimidazole (BMZs) residues in corn. Sulfhydryl functionalized Fe3O4@SiO2@Ag-SH magnetic SERS substrates were prepared to obtain the SERS spectra of four BMZs for chemometric analysis. The partial least squares regression discrimination analysis (PLS-DA) model performed best, with a recall rate upwards 99.17%, and could successfully distinguish four BMZs. Under the support vector machine regression (SVR) model, the detection limits of carbendazim, benomyl, thiophanate-methyl and thiabendazole were 0.055 mg/L, 0.056 mg/L, 0.067 mg/L and 0.093 mg/L, respectively; the average recovery was in the range of 85.6%–107.5%. Furthermore, the method verified by HPLC, and the results showed that there was no significant difference between two methods (p > 0.05). Therefore, the strategy based on SERS coupling chemometrics can be served as a promising tool for rapid determination of BMZs residues in food.
ISSN:0308-8146
1873-7072
DOI:10.1016/j.foodchem.2023.136479