Literature DB >> 33784216

Quantum dot-labelled antibody based on fluorescence immunoassays for the determination of arsanilic acid in edible pork and liver.

Aiping Wang1, Jinge Li1, Hongliang Liu1, Yumei Chen1, Jingming Zhou1, Yankai Liu1, Yanhua Qi1, Wenjing Jiang1, Gaiping Zhang1.   

Abstract

Arsanilic acid (ASA) residue, which is the most common contaminant in edible animal tissues such as pork and liver, has caused environmental and food-safety concerns. In this study, direct and indirect competitive fluorescence-linked immunosorbent assays (dc-FLISA and ic-FLISA) incorporating quantum dots (QDs) as the fluorescent label were developed for the first time to detect ASA residues in edible pork and animal liver. Monoclonal antibodies against ASA and rabbit anti-mouse antibody were conjugated to orange QDs with excitation wavelengths at 450 nm, and the QD-Abs served as detection probes. The limits of detection for dc-FLISA and ic-FLISA were 0.11 ng/mL and 0.001 ng/mL, respectively. QD-FLISA was used to analyse spiked samples; recoveries ranged from 80.2%-91.2% in dc-FLISA and 82.5%-91.2% in ic-FLISA, and the coefficients of variations (CV) were less than 12%. Compared with conventional indirect competitive enzyme-linked immunosorbent assay (ic-ELISA), the QD-FLISA described here was more sensitive and accurate in the analysis of ASA residues in animal tissues. Moreover, the results of QD-FLISA correlated well with HPLC. These results indicate that dc-FLISA and ic-FLISA are sensitive and reliable for detection of ASA residues in edible animal tissues.

Entities:  

Keywords:  Arsanilic acid; dc-FLISA; ic-FLISA; quantum dots

Mesh:

Substances:

Year:  2021        PMID: 33784216     DOI: 10.1080/19440049.2021.1885751

Source DB:  PubMed          Journal:  Food Addit Contam Part A Chem Anal Control Expo Risk Assess        ISSN: 1944-0057


  1 in total

1.  An Electrochemical Immunosensor Based on SPA and rGO-PEI-Ag-Nf for the Detection of Arsanilic Acid.

Authors:  Yanwei Wang; Dongdong Ma; Gaiping Zhang; Xuannian Wang; Jingming Zhou; Yumei Chen; Xiaojuan You; Chao Liang; Yanhua Qi; Yuya Li; Aiping Wang
Journal:  Molecules       Date:  2021-12-28       Impact factor: 4.411

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.