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DNA Accounting: Tallying Genomes to Detect Adulterated Saffron
The EU General Food Law not only aims at ensuring food safety but also to ‘prevent fraudulent or deceptive practices; the adulteration of food; and any other practices which may mislead the consumer’. Especially the partial or complete, deliberate, and intentional substitution of valuable ingredient...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8624925/ https://www.ncbi.nlm.nih.gov/pubmed/34828951 http://dx.doi.org/10.3390/foods10112670 |
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author | Lievens, Antoon Paracchini, Valentina Pietretti, Danilo Garlant, Linda Maquet, Alain Ulberth, Franz |
author_facet | Lievens, Antoon Paracchini, Valentina Pietretti, Danilo Garlant, Linda Maquet, Alain Ulberth, Franz |
author_sort | Lievens, Antoon |
collection | PubMed |
description | The EU General Food Law not only aims at ensuring food safety but also to ‘prevent fraudulent or deceptive practices; the adulteration of food; and any other practices which may mislead the consumer’. Especially the partial or complete, deliberate, and intentional substitution of valuable ingredients (e.g., Saffron) for less valuable ones is of concern. Due to the variety of products on the market an approach to detect food adulteration that works well for one species may not be easily applicable to another. Here we present a broadly applicable approach for the detection of substitution of biological materials based on digital PCR. By simultaneously measuring and forecasting the number of genome copies in a sample, fraud is detectable as a discrepancy between these two values. Apart from the choice of target gene, the procedure is identical across all species. It is scalable, rapid, and has a high dynamic range. We provide proof of concept by presenting the analysis of 141 samples of Saffron (Crocus sativus) from across the European market by DNA accounting and the verification of these results by NGS analysis. |
format | Online Article Text |
id | pubmed-8624925 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-86249252021-11-27 DNA Accounting: Tallying Genomes to Detect Adulterated Saffron Lievens, Antoon Paracchini, Valentina Pietretti, Danilo Garlant, Linda Maquet, Alain Ulberth, Franz Foods Article The EU General Food Law not only aims at ensuring food safety but also to ‘prevent fraudulent or deceptive practices; the adulteration of food; and any other practices which may mislead the consumer’. Especially the partial or complete, deliberate, and intentional substitution of valuable ingredients (e.g., Saffron) for less valuable ones is of concern. Due to the variety of products on the market an approach to detect food adulteration that works well for one species may not be easily applicable to another. Here we present a broadly applicable approach for the detection of substitution of biological materials based on digital PCR. By simultaneously measuring and forecasting the number of genome copies in a sample, fraud is detectable as a discrepancy between these two values. Apart from the choice of target gene, the procedure is identical across all species. It is scalable, rapid, and has a high dynamic range. We provide proof of concept by presenting the analysis of 141 samples of Saffron (Crocus sativus) from across the European market by DNA accounting and the verification of these results by NGS analysis. MDPI 2021-11-03 /pmc/articles/PMC8624925/ /pubmed/34828951 http://dx.doi.org/10.3390/foods10112670 Text en © 2021 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 Lievens, Antoon Paracchini, Valentina Pietretti, Danilo Garlant, Linda Maquet, Alain Ulberth, Franz DNA Accounting: Tallying Genomes to Detect Adulterated Saffron |
title | DNA Accounting: Tallying Genomes to Detect Adulterated Saffron |
title_full | DNA Accounting: Tallying Genomes to Detect Adulterated Saffron |
title_fullStr | DNA Accounting: Tallying Genomes to Detect Adulterated Saffron |
title_full_unstemmed | DNA Accounting: Tallying Genomes to Detect Adulterated Saffron |
title_short | DNA Accounting: Tallying Genomes to Detect Adulterated Saffron |
title_sort | dna accounting: tallying genomes to detect adulterated saffron |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8624925/ https://www.ncbi.nlm.nih.gov/pubmed/34828951 http://dx.doi.org/10.3390/foods10112670 |
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