Literature DB >> 27619097

Multi-residue detection of pesticides using a sensitive immunochip assay based on nanogold enhancement.

Meijing Lan1, Yirong Guo2, Ying Zhao1, Yihua Liu3, Wenjun Gui1, Guonian Zhu1.   

Abstract

This paper describes the development of a new multiplex immunoassay for simultaneous detection of seven pesticides (triazophos, methyl-parathion, fenpropathrin, carbofuran, thiacloprid, chlorothalonil, and carbendazim). Sixteen pairs of pesticide antibodies and antigens were screened for reactivity and cross-reaction. A microarray chip consisting of seven antigens immobilized on a nitrocellulose membrane was then constructed. Nanogold was employed for labeling and signal amplification to obtain a sensitive colorimetric immunoassay. The direct and indirect detection formats were further compared using primary antibody-gold and secondary antibody-gold conjugates as tracers. An integrated 7-plex immunochip assay based on the indirect model was established and optimized. The detection limits for the pesticides were 0.02-6.45 ng mL(-1), which meets detection requirements for pesticide residues. Naked-eye assessment showed the visual detection limits of the assay ranged from 1 to 100 ng mL(-1). Spiked recovery results demonstrated that the immunochip assay had potential for multi-analysis of pesticide residues in vegetables and fruits. The proposed microarray methodology is a flexible and versatile tool, which can be applied to other competitive multiplex immunoassays for small molecular compounds.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Gold nanoparticles; Immunoassay; Microarray; Multi-residue; Pesticides

Mesh:

Substances:

Year:  2016        PMID: 27619097     DOI: 10.1016/j.aca.2016.07.044

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  9 in total

1.  Broad-spectrum electrochemical immunosensor based on one-step electrodeposition of AuNP-Abs and Prussian blue nanocomposite for organophosphorus pesticide detection.

Authors:  Haowei Dong; Qingxue Zhao; Jiansen Li; Yaodong Xiang; Huimin Liu; Yemin Guo; Qingqing Yang; Xia Sun
Journal:  Bioprocess Biosyst Eng       Date:  2020-11-08       Impact factor: 3.210

2.  Colorimetric determination of the pesticide chlorothalonil based on the aggregation of gold nanoparticles.

Authors:  Qingju Liu; Ping Han; Wenwen Gong; Hui Wang; Xiaoyuan Feng
Journal:  Mikrochim Acta       Date:  2018-07-03       Impact factor: 5.833

3.  A fluorescence polarization immunoassay for detection of thiacloprid in environmental and agricultural samples.

Authors:  Yuan Ding; He Chen; Qian Yang; Lu Feng; Xiude Hua; Minghua Wang
Journal:  RSC Adv       Date:  2019-11-12       Impact factor: 4.036

4.  Characterization of Variable Region Genes and Discovery of Key Recognition Sites in the Complementarity Determining Regions of the Anti-Thiacloprid Monoclonal Antibody.

Authors:  Pengyan Liu; Yuanhao Guo; Shasha Jiao; Yunyun Chang; Ying Liu; Rubing Zou; Yihua Liu; Mengli Chen; Yirong Guo; Guonian Zhu
Journal:  Int J Mol Sci       Date:  2020-09-18       Impact factor: 5.923

5.  Antibody Microarray Immunoassay for Simultaneous Quantification of Multiple Mycotoxins in Corn Samples.

Authors:  Xian Zhang; Zuohuan Wang; Yun Fang; Renjie Sun; Tong Cao; Narayan Paudyal; Weihuan Fang; Houhui Song
Journal:  Toxins (Basel)       Date:  2018-10-15       Impact factor: 4.546

6.  Determination and dietary intake risk assessment of 35 pesticide residues in cowpea (Vigna unguiculata [L.] Walp) from Hainan province, China.

Authors:  Qun Zhang; Chen Ma; Yun Duan; Xiaopeng Wu; Daizhu Lv; Jinhui Luo
Journal:  Sci Rep       Date:  2022-04-01       Impact factor: 4.996

7.  Antibody-free colorimetric detection of chlorothalonil in cucumber via the inhibition of an enzyme-triggered reaction.

Authors:  Qingju Liu; Ping Han; Hui Wang; Wenwen Gong; Xiaoyuan Feng
Journal:  RSC Adv       Date:  2019-03-29       Impact factor: 3.361

Review 8.  Rapid Multi-Residue Detection Methods for Pesticides and Veterinary Drugs.

Authors:  Min Jia; Zhongbo E; Fei Zhai; Xin Bing
Journal:  Molecules       Date:  2020-08-07       Impact factor: 4.411

Review 9.  Affinity Sensing Strategies for the Detection of Pesticides in Food.

Authors:  Denise Capoferri; Flavio Della Pelle; Michele Del Carlo; Dario Compagnone
Journal:  Foods       Date:  2018-09-05
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.