Binding affinity-guided design of a highly sensitive noncompetitive immunoassay for small molecule detection.


Journal

Food chemistry
ISSN: 1873-7072
Titre abrégé: Food Chem
Pays: England
ID NLM: 7702639

Informations de publication

Date de publication:
30 Jul 2021
Historique:
received: 24 09 2020
revised: 20 01 2021
accepted: 30 01 2021
pubmed: 1 3 2021
medline: 7 4 2021
entrez: 28 2 2021
Statut: ppublish

Résumé

Small molecules are immunochemically classified as hapten that lacking of at least two epitopes, usually using competitive format for establishing immunoassays. However, theoretically, noncompetitive immunoassay format is more sensitive and has a wider analytical range. In the present study, a novel hapten of halofuginone was synthesized and used to produce a monoclonal antibody (mAb). By analyzing the binding kinetics, we found that the affinity of analyte-enzyme to mAb was much greater than that of analyte, which could result in a low sensitivity of competitive assay format. Based on this, we established a novel noncompetitive immunoassay by using a replacement approach. The noncompetitive format has obvious advantages in sensitivity and analytical range, which promoted approximately 3.5- and 5-fold, respectively, compared to the competitive immunoassay. Ultimately, the newly designed noncompetitive immunoassay in this work will provide insights as well as alternative method to traditional small molecule competitive assays.

Identifiants

pubmed: 33640770
pii: S0308-8146(21)00274-0
doi: 10.1016/j.foodchem.2021.129270
pii:
doi:

Substances chimiques

Antibodies, Monoclonal 0
Epitopes 0
Haptens 0
Piperidines 0
Quinazolinones 0
halofuginone L31MM1385E

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

129270

Informations de copyright

Copyright © 2021 Elsevier Ltd. All rights reserved.

Auteurs

Yuchen Bai (Y)

College of Veterinary Medicine, China Agricultural University, Beijing Key Laboratory of Detection Technology for Animal Derived Food Safety, Beijing Laboratory for Food Quality and Safety, 100193 Beijing, People's Republic of China.

Yahui Wang (Y)

College of Veterinary Medicine, China Agricultural University, Beijing Key Laboratory of Detection Technology for Animal Derived Food Safety, Beijing Laboratory for Food Quality and Safety, 100193 Beijing, People's Republic of China; Agricultural Information Institute, Chinese Academy of Agricultural Sciences, 100081 Beijing, People's Republic of China.

Qiang Li (Q)

College of Veterinary Medicine, China Agricultural University, Beijing Key Laboratory of Detection Technology for Animal Derived Food Safety, Beijing Laboratory for Food Quality and Safety, 100193 Beijing, People's Republic of China.

Leina Dou (L)

College of Veterinary Medicine, China Agricultural University, Beijing Key Laboratory of Detection Technology for Animal Derived Food Safety, Beijing Laboratory for Food Quality and Safety, 100193 Beijing, People's Republic of China.

Minggang Liu (M)

College of Veterinary Medicine, China Agricultural University, Beijing Key Laboratory of Detection Technology for Animal Derived Food Safety, Beijing Laboratory for Food Quality and Safety, 100193 Beijing, People's Republic of China.

Shibei Shao (S)

College of Veterinary Medicine, China Agricultural University, Beijing Key Laboratory of Detection Technology for Animal Derived Food Safety, Beijing Laboratory for Food Quality and Safety, 100193 Beijing, People's Republic of China.

Jianyu Zhu (J)

College of Veterinary Medicine, China Agricultural University, Beijing Key Laboratory of Detection Technology for Animal Derived Food Safety, Beijing Laboratory for Food Quality and Safety, 100193 Beijing, People's Republic of China.

Jianzhong Shen (J)

College of Veterinary Medicine, China Agricultural University, Beijing Key Laboratory of Detection Technology for Animal Derived Food Safety, Beijing Laboratory for Food Quality and Safety, 100193 Beijing, People's Republic of China.

Zhanhui Wang (Z)

College of Veterinary Medicine, China Agricultural University, Beijing Key Laboratory of Detection Technology for Animal Derived Food Safety, Beijing Laboratory for Food Quality and Safety, 100193 Beijing, People's Republic of China.

Kai Wen (K)

College of Veterinary Medicine, China Agricultural University, Beijing Key Laboratory of Detection Technology for Animal Derived Food Safety, Beijing Laboratory for Food Quality and Safety, 100193 Beijing, People's Republic of China. Electronic address: wenkai@cau.edu.cn.

Wenbo Yu (W)

College of Veterinary Medicine, China Agricultural University, Beijing Key Laboratory of Detection Technology for Animal Derived Food Safety, Beijing Laboratory for Food Quality and Safety, 100193 Beijing, People's Republic of China. Electronic address: yuwenbo@cau.edu.cn.

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Classifications MeSH