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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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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 |
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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 |
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