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Rapid detection and specific identification of offals within minced beef samples utilising ambient mass spectrometry
The morphological transformation of beef tissues after various processing treatments facilitates the addition of cheap offal products. Undetectable to the naked eye, analytical techniques are required to identify such scenarios within minced and processed products. DNA methodologies are ill-equipped...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6472348/ https://www.ncbi.nlm.nih.gov/pubmed/31000779 http://dx.doi.org/10.1038/s41598-019-42796-5 |
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author | Black, Connor Chevallier, Olivier P. Cooper, Kevin M. Haughey, Simon A. Balog, Julia Takats, Zoltan Elliott, Christopher T. Cavin, Christophe |
author_facet | Black, Connor Chevallier, Olivier P. Cooper, Kevin M. Haughey, Simon A. Balog, Julia Takats, Zoltan Elliott, Christopher T. Cavin, Christophe |
author_sort | Black, Connor |
collection | PubMed |
description | The morphological transformation of beef tissues after various processing treatments facilitates the addition of cheap offal products. Undetectable to the naked eye, analytical techniques are required to identify such scenarios within minced and processed products. DNA methodologies are ill-equipped to detect adulteration of offal cuts from the same species and vibrational spectroscopic studies, although rapid and non-destructive, have proved inconclusive as to whether the specific adulterant can be identified. For the first time we present a mass spectrometric approach employing an ambient ionisation process to eliminate sample preparation and provide near-instantaneous results. Rapid evaporative ionisation mass spectrometry (REIMS) was used to assess its capabilities of detecting minced beef adulteration with beef brain, heart, kidney, large intestine and liver tissues and chemometric analysis enabled unique or significant markers to be identified. The adulteration levels detected with the REIMS technology when analysing raw adulterated beef burgers were; brain (5%); heart (1–10%); kidney (1–5%); large intestine (1–10%) and liver (5–10%). For boiled adulterated samples; brain (5–10%); heart (1–10%); kidney (1–5%); large intestine (1–10%) and liver (5–10%). REIMS allows rapid and specific identification of offal cuts within adulterated beef burgers and could provide a paradigm shift across many authenticity applications. |
format | Online Article Text |
id | pubmed-6472348 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-64723482019-04-25 Rapid detection and specific identification of offals within minced beef samples utilising ambient mass spectrometry Black, Connor Chevallier, Olivier P. Cooper, Kevin M. Haughey, Simon A. Balog, Julia Takats, Zoltan Elliott, Christopher T. Cavin, Christophe Sci Rep Article The morphological transformation of beef tissues after various processing treatments facilitates the addition of cheap offal products. Undetectable to the naked eye, analytical techniques are required to identify such scenarios within minced and processed products. DNA methodologies are ill-equipped to detect adulteration of offal cuts from the same species and vibrational spectroscopic studies, although rapid and non-destructive, have proved inconclusive as to whether the specific adulterant can be identified. For the first time we present a mass spectrometric approach employing an ambient ionisation process to eliminate sample preparation and provide near-instantaneous results. Rapid evaporative ionisation mass spectrometry (REIMS) was used to assess its capabilities of detecting minced beef adulteration with beef brain, heart, kidney, large intestine and liver tissues and chemometric analysis enabled unique or significant markers to be identified. The adulteration levels detected with the REIMS technology when analysing raw adulterated beef burgers were; brain (5%); heart (1–10%); kidney (1–5%); large intestine (1–10%) and liver (5–10%). For boiled adulterated samples; brain (5–10%); heart (1–10%); kidney (1–5%); large intestine (1–10%) and liver (5–10%). REIMS allows rapid and specific identification of offal cuts within adulterated beef burgers and could provide a paradigm shift across many authenticity applications. Nature Publishing Group UK 2019-04-18 /pmc/articles/PMC6472348/ /pubmed/31000779 http://dx.doi.org/10.1038/s41598-019-42796-5 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Black, Connor Chevallier, Olivier P. Cooper, Kevin M. Haughey, Simon A. Balog, Julia Takats, Zoltan Elliott, Christopher T. Cavin, Christophe Rapid detection and specific identification of offals within minced beef samples utilising ambient mass spectrometry |
title | Rapid detection and specific identification of offals within minced beef samples utilising ambient mass spectrometry |
title_full | Rapid detection and specific identification of offals within minced beef samples utilising ambient mass spectrometry |
title_fullStr | Rapid detection and specific identification of offals within minced beef samples utilising ambient mass spectrometry |
title_full_unstemmed | Rapid detection and specific identification of offals within minced beef samples utilising ambient mass spectrometry |
title_short | Rapid detection and specific identification of offals within minced beef samples utilising ambient mass spectrometry |
title_sort | rapid detection and specific identification of offals within minced beef samples utilising ambient mass spectrometry |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6472348/ https://www.ncbi.nlm.nih.gov/pubmed/31000779 http://dx.doi.org/10.1038/s41598-019-42796-5 |
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