Literature DB >> 33152876

Silver microspheres aggregation-induced Raman enhanced scattering used for rapid detection of carbendazim in Chinese tea.

Jie He1, Hongxia Li1, Lulu Zhang1, Xiao Zhi1, Xin Li1, Xin Wang1, Zijian Feng1, Guangxia Shen2, Xianting Ding3.   

Abstract

Due to the excessive use of fungicides, pesticide residues have become a growing concern in recent years. Herein, we demonstrated an easy-prepared and low-cost surface enhanced Raman Scattering (SERS) chip composed of 3D silver microspheres (AgMSs) pattern for the quantitative testing of carbendazim in Chinese tea. Compared with the common monolayer SERS substrate, the 3D patterns formed by self-assembly AgMSs with fine nanostructure can offer much more aggregation-induced hotspots and generate strong 3D synergetic effects. Furthermore, when the thickness of the 3D pattern exceeded 6 μm, we replaced the conductive supporting coatings using the glass slides to reduce the cost without any impact on SERS properties. The prepared 3D chips achieved the determination of carbendazim within the linear range of 0.1-10 mg/L and the detection limit of 0.01 mg/L. It is simple and sensitive enough for the detection of most pesticide residues or other harmful organic molecules in our food or environment.
Copyright © 2020. Published by Elsevier Ltd.

Entities:  

Keywords:  Ag microparticles; Detection of carbendazim; Surface-enhanced Raman scattering (SERS)

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Substances:

Year:  2020        PMID: 33152876     DOI: 10.1016/j.foodchem.2020.128085

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


  2 in total

Review 1.  Rapid field trace detection of pesticide residue in food based on surface-enhanced Raman spectroscopy.

Authors:  Pei Liang; Wenwen Chen; Zhexiang Tang; Chen Li; Kunyue Xiao; Shangzhong Jin; Dejiang Ni; Zhi Yu
Journal:  Mikrochim Acta       Date:  2021-10-07       Impact factor: 5.833

2.  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 in total

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