Loading…

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:
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!
cited_by cdi_FETCH-LOGICAL-c368t-d8f7586b7169b92b5ca144a8dcec4b147ae7d6931c30e665743c59b5410dda5f3
cites cdi_FETCH-LOGICAL-c368t-d8f7586b7169b92b5ca144a8dcec4b147ae7d6931c30e665743c59b5410dda5f3
container_end_page 136479
container_issue
container_start_page 136479
container_title Food chemistry
container_volume 424
creator Wang, Tianyao
Xie, Chuangjie
You, Qian
Tian, Xingguo
Xu, Xiaoyan
description [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.
doi_str_mv 10.1016/j.foodchem.2023.136479
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2822378124</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S030881462301097X</els_id><sourcerecordid>2822378124</sourcerecordid><originalsourceid>FETCH-LOGICAL-c368t-d8f7586b7169b92b5ca144a8dcec4b147ae7d6931c30e665743c59b5410dda5f3</originalsourceid><addsrcrecordid>eNqFUUtv1DAQthAVXVr-QuUjlyx-xXZuoIoCUiUEas-WHxOtV4m9tZOi7Y_gN5NoWzhyGmnmm5nvgdAVJVtKqPyw3_Y5B7-DccsI41vKpVDdK7ShWvFGEcVeow3hRDeaCnmO3ta6J4QwQvUbdM4Vk5x0fIN-_5jtECc7xUfANgX8MNs0_WvY4VhjxbnHfZ4LdpCe4hiDfcoD4AI1hhkqjgmvdLA74jqX3npoIO1s8hDwTzvahOsB_FRy9flwxD6PLqZl9itOO7yKyCNMJfp6ic56O1R491wv0P3N57vrr83t9y_frj_dNp5LPTVB96rV0ikqO9cx13pLhbA6ePDCUaEsqCA7Tj0nIGWrBPdt51pBSQi27fkFen-6eyj5YVEwmTFWD8NgE-S5GqYZ40pTJhaoPEH9Qr8W6M2hxNGWo6HErFmYvXnJwqxZmFMWy-LV84_ZjRD-rr2YvwA-ngCwKH2MUEz1EVbTYlncMiHH__34A8S7og8</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2822378124</pqid></control><display><type>article</type><title>Qualitative and quantitative analysis of four benzimidazole residues in food by surface-enhanced Raman spectroscopy combined with chemometrics</title><source>ScienceDirect Journals</source><creator>Wang, Tianyao ; Xie, Chuangjie ; You, Qian ; Tian, Xingguo ; Xu, Xiaoyan</creator><creatorcontrib>Wang, Tianyao ; Xie, Chuangjie ; You, Qian ; Tian, Xingguo ; Xu, Xiaoyan</creatorcontrib><description>[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 &gt; 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.</description><identifier>ISSN: 0308-8146</identifier><identifier>EISSN: 1873-7072</identifier><identifier>DOI: 10.1016/j.foodchem.2023.136479</identifier><identifier>PMID: 37263093</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Benzimidazole pesticides ; Benzimidazoles - analysis ; Chemometrics ; Metal Nanoparticles - chemistry ; Silicon Dioxide ; Simultaneous detection ; Spectrum Analysis, Raman - methods ; Sulfhydryl functionalization ; Surface-enhanced Raman spectroscopy ; Thiabendazole - analysis</subject><ispartof>Food chemistry, 2023-10, Vol.424, p.136479-136479, Article 136479</ispartof><rights>2023 Elsevier Ltd</rights><rights>Copyright © 2023 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c368t-d8f7586b7169b92b5ca144a8dcec4b147ae7d6931c30e665743c59b5410dda5f3</citedby><cites>FETCH-LOGICAL-c368t-d8f7586b7169b92b5ca144a8dcec4b147ae7d6931c30e665743c59b5410dda5f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37263093$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wang, Tianyao</creatorcontrib><creatorcontrib>Xie, Chuangjie</creatorcontrib><creatorcontrib>You, Qian</creatorcontrib><creatorcontrib>Tian, Xingguo</creatorcontrib><creatorcontrib>Xu, Xiaoyan</creatorcontrib><title>Qualitative and quantitative analysis of four benzimidazole residues in food by surface-enhanced Raman spectroscopy combined with chemometrics</title><title>Food chemistry</title><addtitle>Food Chem</addtitle><description>[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 &gt; 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.</description><subject>Benzimidazole pesticides</subject><subject>Benzimidazoles - analysis</subject><subject>Chemometrics</subject><subject>Metal Nanoparticles - chemistry</subject><subject>Silicon Dioxide</subject><subject>Simultaneous detection</subject><subject>Spectrum Analysis, Raman - methods</subject><subject>Sulfhydryl functionalization</subject><subject>Surface-enhanced Raman spectroscopy</subject><subject>Thiabendazole - analysis</subject><issn>0308-8146</issn><issn>1873-7072</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNqFUUtv1DAQthAVXVr-QuUjlyx-xXZuoIoCUiUEas-WHxOtV4m9tZOi7Y_gN5NoWzhyGmnmm5nvgdAVJVtKqPyw3_Y5B7-DccsI41vKpVDdK7ShWvFGEcVeow3hRDeaCnmO3ta6J4QwQvUbdM4Vk5x0fIN-_5jtECc7xUfANgX8MNs0_WvY4VhjxbnHfZ4LdpCe4hiDfcoD4AI1hhkqjgmvdLA74jqX3npoIO1s8hDwTzvahOsB_FRy9flwxD6PLqZl9itOO7yKyCNMJfp6ic56O1R491wv0P3N57vrr83t9y_frj_dNp5LPTVB96rV0ikqO9cx13pLhbA6ePDCUaEsqCA7Tj0nIGWrBPdt51pBSQi27fkFen-6eyj5YVEwmTFWD8NgE-S5GqYZ40pTJhaoPEH9Qr8W6M2hxNGWo6HErFmYvXnJwqxZmFMWy-LV84_ZjRD-rr2YvwA-ngCwKH2MUEz1EVbTYlncMiHH__34A8S7og8</recordid><startdate>20231030</startdate><enddate>20231030</enddate><creator>Wang, Tianyao</creator><creator>Xie, Chuangjie</creator><creator>You, Qian</creator><creator>Tian, Xingguo</creator><creator>Xu, Xiaoyan</creator><general>Elsevier Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20231030</creationdate><title>Qualitative and quantitative analysis of four benzimidazole residues in food by surface-enhanced Raman spectroscopy combined with chemometrics</title><author>Wang, Tianyao ; Xie, Chuangjie ; You, Qian ; Tian, Xingguo ; Xu, Xiaoyan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c368t-d8f7586b7169b92b5ca144a8dcec4b147ae7d6931c30e665743c59b5410dda5f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Benzimidazole pesticides</topic><topic>Benzimidazoles - analysis</topic><topic>Chemometrics</topic><topic>Metal Nanoparticles - chemistry</topic><topic>Silicon Dioxide</topic><topic>Simultaneous detection</topic><topic>Spectrum Analysis, Raman - methods</topic><topic>Sulfhydryl functionalization</topic><topic>Surface-enhanced Raman spectroscopy</topic><topic>Thiabendazole - analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Tianyao</creatorcontrib><creatorcontrib>Xie, Chuangjie</creatorcontrib><creatorcontrib>You, Qian</creatorcontrib><creatorcontrib>Tian, Xingguo</creatorcontrib><creatorcontrib>Xu, Xiaoyan</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Food chemistry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Tianyao</au><au>Xie, Chuangjie</au><au>You, Qian</au><au>Tian, Xingguo</au><au>Xu, Xiaoyan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Qualitative and quantitative analysis of four benzimidazole residues in food by surface-enhanced Raman spectroscopy combined with chemometrics</atitle><jtitle>Food chemistry</jtitle><addtitle>Food Chem</addtitle><date>2023-10-30</date><risdate>2023</risdate><volume>424</volume><spage>136479</spage><epage>136479</epage><pages>136479-136479</pages><artnum>136479</artnum><issn>0308-8146</issn><eissn>1873-7072</eissn><abstract>[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 &gt; 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.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>37263093</pmid><doi>10.1016/j.foodchem.2023.136479</doi><tpages>1</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0308-8146
ispartof Food chemistry, 2023-10, Vol.424, p.136479-136479, Article 136479
issn 0308-8146
1873-7072
language eng
recordid cdi_proquest_miscellaneous_2822378124
source ScienceDirect Journals
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
title Qualitative and quantitative analysis of four benzimidazole residues in food by surface-enhanced Raman spectroscopy combined with chemometrics
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T09%3A28%3A01IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Qualitative%20and%20quantitative%20analysis%20of%20four%20benzimidazole%20residues%20in%20food%20by%20surface-enhanced%20Raman%20spectroscopy%20combined%20with%20chemometrics&rft.jtitle=Food%20chemistry&rft.au=Wang,%20Tianyao&rft.date=2023-10-30&rft.volume=424&rft.spage=136479&rft.epage=136479&rft.pages=136479-136479&rft.artnum=136479&rft.issn=0308-8146&rft.eissn=1873-7072&rft_id=info:doi/10.1016/j.foodchem.2023.136479&rft_dat=%3Cproquest_cross%3E2822378124%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c368t-d8f7586b7169b92b5ca144a8dcec4b147ae7d6931c30e665743c59b5410dda5f3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2822378124&rft_id=info:pmid/37263093&rfr_iscdi=true