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Nanobodies for Accurate Recognition of Iso-tenuazonic Acid and Development of Sensitive Immunoassay for Contaminant Detection in Foods.
Wang, Feng; Yang, Yuan-Yuan; Wan, De-Bin; Li, Jia-Dong; Liang, Yi-Fan; Li, Zhen-Feng; Shen, Yu-Dong; Xu, Zhen-Lin; Yang, Jin-Yi; Wang, Hong; Gettemans, Jan; Hammock, Bruce D; Sun, Yuan-Ming.
Afiliação
  • Wang F; Guangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou 510642, P. R. China.
  • Yang YY; Guangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou 510642, P. R. China.
  • Wan DB; Department of Entomology and Nematology and UCD Comprehensive Cancer Center, University of California, Davis, California 95616, United States.
  • Li JD; Guangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou 510642, P. R. China.
  • Liang YF; Guangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou 510642, P. R. China.
  • Li ZF; Department of Entomology and Nematology and UCD Comprehensive Cancer Center, University of California, Davis, California 95616, United States.
  • Shen YD; Guangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou 510642, P. R. China.
  • Xu ZL; Guangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou 510642, P. R. China.
  • Yang JY; Guangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou 510642, P. R. China.
  • Wang H; Guangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou 510642, P. R. China.
  • Gettemans J; Guangdong Laboraotry for Lingnan Mordern Agriculture, Guangzhou 510642, P. R. China.
  • Hammock BD; Department of Biomolecular Medicine, Faculty of Medicine and Health Sciences, Ghent University, Ghent B-9000, Belgium.
  • Sun YM; Department of Entomology and Nematology and UCD Comprehensive Cancer Center, University of California, Davis, California 95616, United States.
Food Control ; 1362022 Jun.
Article em En | MEDLINE | ID: mdl-35989708
The accurate analysis of chemical isomers plays an important role in the study of their different toxic effects and targeted detection of pollutant isomers in foods. The Alternaria mycotoxins tenuazonic acid (TeA) and iso-tenuazonic acid (ITeA) are two isomer mycotoxins with the lack of single analysis methods due to the similar structures. Antibody-based immunoassays exhibit high sensitivity and superior application in isomer-specific determination. Previously, various kinds of antibodies for TeA have been prepared in our group. Herein, highly specific nanobodies (Nbs) against ITeA mycotoxin were selected from immune nanobody phage display library, and one of Nbs, namely Nb(B3G3) exhibited excellent affinity, thermal stability as well as organic solvent tolerance. By molecular simulation and docking technology, it was found that stronger interaction between Nb(B3G3) and ITeA lead to higher affinity than that for its isomer TeA. Furthermore, a sensitive indirect competitive enzyme-linked immunosorbent assay (icELISA) was established with a limit of detection (LOD) of 0.09 ng/mL for ITeA mycotoxin. The recovery rate of ITeA in spiked samples was analyzed with 84.8%-89.5% for rice, 78.3%-96.3% for flour, and 79.5%-90.7% for bread. A conventional LC-MS/MS method was used to evaluate the accuracy of this proposed icELISA, which showed a satisfactory consistent correlation. Since the convenient strategy for nanobody generation by phage display technology, this study provide new biorecognition elements and sensitive immunoassay for analysis of ITeA in foods.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article