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Precise Authenticity of Quinoa, Coix Seed, Wild Rice and Chickpea Components Using Optimized TaqMan Real-Time PCR

Functional food such as, quinoa, coix seed, wild rice and chickpea have experienced rapidly increasing demand globally and exhibit high economic values. Nevertheless, a method for rapid yet accurate detection of these source components is absent, making it difficult to identify commercially availabl...

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Autores principales: Zheng, Qiuyue, Yin, Xinying, Yang, Aifu, Yu, Ning, Xing, Ranran, Chen, Ying, Deng, Ruijie, Cao, Jijuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9957468/
https://www.ncbi.nlm.nih.gov/pubmed/36832928
http://dx.doi.org/10.3390/foods12040852
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author Zheng, Qiuyue
Yin, Xinying
Yang, Aifu
Yu, Ning
Xing, Ranran
Chen, Ying
Deng, Ruijie
Cao, Jijuan
author_facet Zheng, Qiuyue
Yin, Xinying
Yang, Aifu
Yu, Ning
Xing, Ranran
Chen, Ying
Deng, Ruijie
Cao, Jijuan
author_sort Zheng, Qiuyue
collection PubMed
description Functional food such as, quinoa, coix seed, wild rice and chickpea have experienced rapidly increasing demand globally and exhibit high economic values. Nevertheless, a method for rapid yet accurate detection of these source components is absent, making it difficult to identify commercially available food with labels indicating the presence of relevant components. In this study, we constructed a real-time quantitative polymerase chain reaction (qPCR) method for rapid detection of quinoa, coix seed, wild rice and chickpea in food to identify the authenticity of such food. Specific primers and probes were designed with 2S albumin genes of quinoa, SAD genes of coix seed, ITS genes of wild rice and CIA-2 genes of chickpea as the target genes. The qPCR method could specifically identify the four wild rice strains, yielding, LODs of 0.96, 1.14, 1.04 and 0.97 pg/µL quinoa, coix seed, wild rice and chickpea source components, respectively. Particularly, the method allowed the identification of the target component with content below 0.01%. A total of 24 commercially available food samples of different types were detected by using the method and the results indicate that the developed method is applicable to the detection of different food matrices, as well as authenticity verification in deeply processed food.
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spelling pubmed-99574682023-02-25 Precise Authenticity of Quinoa, Coix Seed, Wild Rice and Chickpea Components Using Optimized TaqMan Real-Time PCR Zheng, Qiuyue Yin, Xinying Yang, Aifu Yu, Ning Xing, Ranran Chen, Ying Deng, Ruijie Cao, Jijuan Foods Article Functional food such as, quinoa, coix seed, wild rice and chickpea have experienced rapidly increasing demand globally and exhibit high economic values. Nevertheless, a method for rapid yet accurate detection of these source components is absent, making it difficult to identify commercially available food with labels indicating the presence of relevant components. In this study, we constructed a real-time quantitative polymerase chain reaction (qPCR) method for rapid detection of quinoa, coix seed, wild rice and chickpea in food to identify the authenticity of such food. Specific primers and probes were designed with 2S albumin genes of quinoa, SAD genes of coix seed, ITS genes of wild rice and CIA-2 genes of chickpea as the target genes. The qPCR method could specifically identify the four wild rice strains, yielding, LODs of 0.96, 1.14, 1.04 and 0.97 pg/µL quinoa, coix seed, wild rice and chickpea source components, respectively. Particularly, the method allowed the identification of the target component with content below 0.01%. A total of 24 commercially available food samples of different types were detected by using the method and the results indicate that the developed method is applicable to the detection of different food matrices, as well as authenticity verification in deeply processed food. MDPI 2023-02-16 /pmc/articles/PMC9957468/ /pubmed/36832928 http://dx.doi.org/10.3390/foods12040852 Text en © 2023 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
Zheng, Qiuyue
Yin, Xinying
Yang, Aifu
Yu, Ning
Xing, Ranran
Chen, Ying
Deng, Ruijie
Cao, Jijuan
Precise Authenticity of Quinoa, Coix Seed, Wild Rice and Chickpea Components Using Optimized TaqMan Real-Time PCR
title Precise Authenticity of Quinoa, Coix Seed, Wild Rice and Chickpea Components Using Optimized TaqMan Real-Time PCR
title_full Precise Authenticity of Quinoa, Coix Seed, Wild Rice and Chickpea Components Using Optimized TaqMan Real-Time PCR
title_fullStr Precise Authenticity of Quinoa, Coix Seed, Wild Rice and Chickpea Components Using Optimized TaqMan Real-Time PCR
title_full_unstemmed Precise Authenticity of Quinoa, Coix Seed, Wild Rice and Chickpea Components Using Optimized TaqMan Real-Time PCR
title_short Precise Authenticity of Quinoa, Coix Seed, Wild Rice and Chickpea Components Using Optimized TaqMan Real-Time PCR
title_sort precise authenticity of quinoa, coix seed, wild rice and chickpea components using optimized taqman real-time pcr
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9957468/
https://www.ncbi.nlm.nih.gov/pubmed/36832928
http://dx.doi.org/10.3390/foods12040852
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