Identification and quantification of cassava starch adulteration in different food starches by droplet digital PCR

We report a rapid and accurate quantitative detection method using droplet digital PCR (ddPCR) technology to identify cassava adulteration in starch products. The ddPCR analysis showed that the weight of cassava (M) and cassava-extracted DNA content had a significant linear relationship—the correlat...

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Detalles Bibliográficos
Autores principales: Chen, Jia, Zhang, Yalun, Chen, Chen, Zhang, Yan, Zhou, Wei, Sang, Yaxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7043801/
https://www.ncbi.nlm.nih.gov/pubmed/32101546
http://dx.doi.org/10.1371/journal.pone.0228624
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author Chen, Jia
Zhang, Yalun
Chen, Chen
Zhang, Yan
Zhou, Wei
Sang, Yaxin
author_facet Chen, Jia
Zhang, Yalun
Chen, Chen
Zhang, Yan
Zhou, Wei
Sang, Yaxin
author_sort Chen, Jia
collection PubMed
description We report a rapid and accurate quantitative detection method using droplet digital PCR (ddPCR) technology to identify cassava adulteration in starch products. The ddPCR analysis showed that the weight of cassava (M) and cassava-extracted DNA content had a significant linear relationship—the correlation coefficient was R(2) = 0.995, and the maximum coefficient of variation of replicates was 7.48%. The DNA content and DNA copy number (C) measured by ddPCR also had a linear relationship with R(2) = 0.992; the maximum coefficient of variation of replicates was 8.85%. The range of cassava ddPCR DNA content was 25 ng/μL, and the formula M = (C + 32.409)/350.579 was obtained by converting DNA content into the median signal. The accuracy and application potential of the method were verified using the constructed adulteration model.
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spelling pubmed-70438012020-03-09 Identification and quantification of cassava starch adulteration in different food starches by droplet digital PCR Chen, Jia Zhang, Yalun Chen, Chen Zhang, Yan Zhou, Wei Sang, Yaxin PLoS One Research Article We report a rapid and accurate quantitative detection method using droplet digital PCR (ddPCR) technology to identify cassava adulteration in starch products. The ddPCR analysis showed that the weight of cassava (M) and cassava-extracted DNA content had a significant linear relationship—the correlation coefficient was R(2) = 0.995, and the maximum coefficient of variation of replicates was 7.48%. The DNA content and DNA copy number (C) measured by ddPCR also had a linear relationship with R(2) = 0.992; the maximum coefficient of variation of replicates was 8.85%. The range of cassava ddPCR DNA content was 25 ng/μL, and the formula M = (C + 32.409)/350.579 was obtained by converting DNA content into the median signal. The accuracy and application potential of the method were verified using the constructed adulteration model. Public Library of Science 2020-02-26 /pmc/articles/PMC7043801/ /pubmed/32101546 http://dx.doi.org/10.1371/journal.pone.0228624 Text en © 2020 Chen et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Chen, Jia
Zhang, Yalun
Chen, Chen
Zhang, Yan
Zhou, Wei
Sang, Yaxin
Identification and quantification of cassava starch adulteration in different food starches by droplet digital PCR
title Identification and quantification of cassava starch adulteration in different food starches by droplet digital PCR
title_full Identification and quantification of cassava starch adulteration in different food starches by droplet digital PCR
title_fullStr Identification and quantification of cassava starch adulteration in different food starches by droplet digital PCR
title_full_unstemmed Identification and quantification of cassava starch adulteration in different food starches by droplet digital PCR
title_short Identification and quantification of cassava starch adulteration in different food starches by droplet digital PCR
title_sort identification and quantification of cassava starch adulteration in different food starches by droplet digital pcr
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7043801/
https://www.ncbi.nlm.nih.gov/pubmed/32101546
http://dx.doi.org/10.1371/journal.pone.0228624
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