Cargando…

Development and Application of a Visual Duck Meat Detection Strategy for Molecular Diagnosis of Duck-Derived Components

To make meat adulteration detection systems faster, simpler and more efficient, we established a duck-derived meat rapid detection Recombinase Polymerase Amplification (dRPA) method by using interleukin 2 (IL-2) from nuclear genomic DNA as the target gene to design specific primers. We tested the dR...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Xiaoyun, Yu, Huiru, Ji, Yi, Wei, Wei, Peng, Cheng, Wang, Xiaofu, Xu, Xiaoli, Sun, Meihao, Xu, Junfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9266182/
https://www.ncbi.nlm.nih.gov/pubmed/35804711
http://dx.doi.org/10.3390/foods11131895
_version_ 1784743400951513088
author Chen, Xiaoyun
Yu, Huiru
Ji, Yi
Wei, Wei
Peng, Cheng
Wang, Xiaofu
Xu, Xiaoli
Sun, Meihao
Xu, Junfeng
author_facet Chen, Xiaoyun
Yu, Huiru
Ji, Yi
Wei, Wei
Peng, Cheng
Wang, Xiaofu
Xu, Xiaoli
Sun, Meihao
Xu, Junfeng
author_sort Chen, Xiaoyun
collection PubMed
description To make meat adulteration detection systems faster, simpler and more efficient, we established a duck-derived meat rapid detection Recombinase Polymerase Amplification (dRPA) method by using interleukin 2 (IL-2) from nuclear genomic DNA as the target gene to design specific primers. We tested the dRPA detection system by comparing its sensitivity and specificity using real-time fluorescent PCR technology. By adjusting the ratio of reagents, this method shortens the time of DNA extraction and visualizes results in combination with colloidal gold immunoassay strips. Our results demonstrate that this dRPA method could specifically detect duck-derived components with a sensitivity of up to 23 copies/μL and the accuracy of the results is consistent with real-time fluorescent PCR. Additionally, dRPA can detect at least 1% of the duck meat content by mixing beef and mutton with duck meat in different proportions, which was verified by spot-check market samples. These results can be visualized with colloidal gold immunoassay strips with the same accuracy as real-time fluorescent RPA. dRPA can complete detection within 30 min, which shortens existing detection time and quickly visualizes the detection results on-site. This lays the groundwork for future large-scale standardized duck origin detection.
format Online
Article
Text
id pubmed-9266182
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-92661822022-07-09 Development and Application of a Visual Duck Meat Detection Strategy for Molecular Diagnosis of Duck-Derived Components Chen, Xiaoyun Yu, Huiru Ji, Yi Wei, Wei Peng, Cheng Wang, Xiaofu Xu, Xiaoli Sun, Meihao Xu, Junfeng Foods Article To make meat adulteration detection systems faster, simpler and more efficient, we established a duck-derived meat rapid detection Recombinase Polymerase Amplification (dRPA) method by using interleukin 2 (IL-2) from nuclear genomic DNA as the target gene to design specific primers. We tested the dRPA detection system by comparing its sensitivity and specificity using real-time fluorescent PCR technology. By adjusting the ratio of reagents, this method shortens the time of DNA extraction and visualizes results in combination with colloidal gold immunoassay strips. Our results demonstrate that this dRPA method could specifically detect duck-derived components with a sensitivity of up to 23 copies/μL and the accuracy of the results is consistent with real-time fluorescent PCR. Additionally, dRPA can detect at least 1% of the duck meat content by mixing beef and mutton with duck meat in different proportions, which was verified by spot-check market samples. These results can be visualized with colloidal gold immunoassay strips with the same accuracy as real-time fluorescent RPA. dRPA can complete detection within 30 min, which shortens existing detection time and quickly visualizes the detection results on-site. This lays the groundwork for future large-scale standardized duck origin detection. MDPI 2022-06-26 /pmc/articles/PMC9266182/ /pubmed/35804711 http://dx.doi.org/10.3390/foods11131895 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Chen, Xiaoyun
Yu, Huiru
Ji, Yi
Wei, Wei
Peng, Cheng
Wang, Xiaofu
Xu, Xiaoli
Sun, Meihao
Xu, Junfeng
Development and Application of a Visual Duck Meat Detection Strategy for Molecular Diagnosis of Duck-Derived Components
title Development and Application of a Visual Duck Meat Detection Strategy for Molecular Diagnosis of Duck-Derived Components
title_full Development and Application of a Visual Duck Meat Detection Strategy for Molecular Diagnosis of Duck-Derived Components
title_fullStr Development and Application of a Visual Duck Meat Detection Strategy for Molecular Diagnosis of Duck-Derived Components
title_full_unstemmed Development and Application of a Visual Duck Meat Detection Strategy for Molecular Diagnosis of Duck-Derived Components
title_short Development and Application of a Visual Duck Meat Detection Strategy for Molecular Diagnosis of Duck-Derived Components
title_sort development and application of a visual duck meat detection strategy for molecular diagnosis of duck-derived components
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9266182/
https://www.ncbi.nlm.nih.gov/pubmed/35804711
http://dx.doi.org/10.3390/foods11131895
work_keys_str_mv AT chenxiaoyun developmentandapplicationofavisualduckmeatdetectionstrategyformoleculardiagnosisofduckderivedcomponents
AT yuhuiru developmentandapplicationofavisualduckmeatdetectionstrategyformoleculardiagnosisofduckderivedcomponents
AT jiyi developmentandapplicationofavisualduckmeatdetectionstrategyformoleculardiagnosisofduckderivedcomponents
AT weiwei developmentandapplicationofavisualduckmeatdetectionstrategyformoleculardiagnosisofduckderivedcomponents
AT pengcheng developmentandapplicationofavisualduckmeatdetectionstrategyformoleculardiagnosisofduckderivedcomponents
AT wangxiaofu developmentandapplicationofavisualduckmeatdetectionstrategyformoleculardiagnosisofduckderivedcomponents
AT xuxiaoli developmentandapplicationofavisualduckmeatdetectionstrategyformoleculardiagnosisofduckderivedcomponents
AT sunmeihao developmentandapplicationofavisualduckmeatdetectionstrategyformoleculardiagnosisofduckderivedcomponents
AT xujunfeng developmentandapplicationofavisualduckmeatdetectionstrategyformoleculardiagnosisofduckderivedcomponents