Literature DB >> 34863601

Label-free Au NRs-based SERS coupled with chemometrics for rapid quantitative detection of thiabendazole residues in citrus.

Haihui Pan1, Waqas Ahmad2, Tianhui Jiao2, Afang Zhu2, Qin Ouyang3, Quansheng Chen4.   

Abstract

Citrus is a highly consumed fruit worldwide. However, the excessive use of thiabendazole (TBZ) pesticides during citrus cultivation poses a health risk to people. Hence, a rapid and quantitative method has been established for TBZ determination in citrus by coupling gold nanorods (Au NRs) based surface enhanced Raman scattering (SERS) coupling chemometrics. The results show that support vector machine (SVM) can distinguish TBZ residues of different orders of magnitude with 99.1667% accuracy and that genetic algorithm-partial least squares (GA-PLS) had the best performance in the quantitative prediction of TBZ residues (Rp2 = 0.9737, RMSEP = 0.1179 and RPD = 5.85) in citrus. The limit of detection (LOD) was 0.33 μg mL-1. Furthermore, the proposed method was validated by a standard HPLC method using t-test with no significant difference. Therefore, the proposed Au NRs-based SERS technique can be used for the rapid quantitative analysis of TBZ residues in citrus.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Adaptive iterative re-weighted penalized least squares; Chemometrics; Citrus; Gold nanorods; Surface enhanced Raman scattering; Thiabendazole

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Year:  2021        PMID: 34863601     DOI: 10.1016/j.foodchem.2021.131681

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  2 in total

1.  Rapid Detection of Carbendazim Residue in Apple Using Surface-Enhanced Raman Scattering and Coupled Chemometric Algorithm.

Authors:  Xiaowei Huang; Ning Zhang; Zhihua Li; Jiyong Shi; Haroon Elrasheid Tahir; Yue Sun; Yang Zhang; Xinai Zhang; Melvin Holmes; Xiaobo Zou
Journal:  Foods       Date:  2022-04-28

2.  A New, MWCNT-Based, Solid-State Thiabendazole-Selective Sensor.

Authors:  Andrea Dandić; Ivana Novak; Marija Jozanović; Iva Pukleš; Aleksandar Széchenyi; Mateja Budetić; Mirela Samardžić
Journal:  Sensors (Basel)       Date:  2022-05-16       Impact factor: 3.847

  2 in total

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