Literature DB >> 29475478

Development of a broad-specificity antibody-based immunoassay for triazines in ginger and the quantitative structure-activity relationship study of cross-reactive molecules by molecular modeling.

Congmin Liu1, Xiaowen Dou1, Lei Zhang1, Weijun Kong1, Liu Wu2, Yaping Duan2, Meihua Yang3.   

Abstract

In the present study, molecular modeling and principle component analysis (PCA) were used to select appropriate haptens for group detection of triazine herbicides. Four new structures together with three reported triazine derivatives were chosen for the screening of immunizing and coating haptens. A total of 31 triazines coupled with a 3D-QSAR methodology were employed to investigate the relationship between antigen-antibody recognition and molecular structures, the results of which revealed that the antibodies may recognize triazines from the side of molecules with the distinguishing atom and a steric volume matching with the spatial structure of antibodies. Finally, a broad-specificity heterologous immunoassay was developed for determining 10 triazine herbicides in ginger, where the detection limits were 2.5-15.1 μg kg-1 and recoveries were 67.9-102.6%. This study may broaden insight into triazine-antibody interactions and benefit designing novel performance-enhanced antibodies. The developed immunoassay can be further used for triazine detection in other complicated matrices.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Antibody; Broad-specificity immunoassay; Molecular modeling; Quantitative structure-activity relationship; Triazine herbicides

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Year:  2018        PMID: 29475478     DOI: 10.1016/j.aca.2018.01.042

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


  1 in total

1.  QSAR analysis of immune recognition for triazine herbicides based on immunoassay data for polyclonal and monoclonal antibodies.

Authors:  Andrey A Buglak; Anatoly V Zherdev; Hong-Tao Lei; Boris B Dzantiev
Journal:  PLoS One       Date:  2019-04-03       Impact factor: 3.240

  1 in total

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