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  • 标题:A Sensitive Monoclonal-Antibody-Based ELISA for Forchlorfenuron Residue Analysis in Food Samples
  • 本地全文:下载
  • 作者:Xinmei Liu ; Bo Xie ; Yongjian Cheng
  • 期刊名称:Biosensors
  • 电子版ISSN:2079-6374
  • 出版年度:2022
  • 卷号:12
  • 期号:2
  • DOI:10.3390/bios12020078
  • 语种:English
  • 出版社:MDPI Publishing
  • 摘要:In this study, forchlorfenuron (CPPU) was coupled with succinic anhydride to yield a CPPU hapten (CPPU-COOH), and a high-affinity monoclonal antibody (mAb) that can specifically recognize CPPU was produced. Using this mAb as a recognition reagent, a sensitive indirect competitive enzyme-linked immunosorbent assay (icELISA) for CPPU was optimized, which exhibits an IC 50 of 1.04 ng/mL, a limit of detection of 0.16 ng/mL, and a linear range of 0.31–3.43 ng/mL for CPPU. Cross-reactivity percentages with six analogues were all below 6%. The average recovery rates for cucumber and orange samples were from 85.23% to 119.14%. The analysis results of this icELISA showed good consistency with those from liquid chromatography mass spectrometry. These results suggest that the proposed icELISA provides a sensitive, specific, and reliable strategy for CPPU detection in food samples.
  • 关键词:enforchlorfenuronmonoclonal antibodyicELISA
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