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Honey authenticity: the opacity of analytical reports - part 1 defining the problem

The composition of honey, a complex natural product, challenges analytical methods attempting to determine its authenticity particularly in the face of sophisticated adulteration. Of the advanced analytical techniques available, only isotope ratio mass spectrometry (IRMS) is generally accepted for i...

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Autores principales: Walker, M. J., Cowen, S., Gray, K., Hancock, P., Burns, D. T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8825849/
https://www.ncbi.nlm.nih.gov/pubmed/35136083
http://dx.doi.org/10.1038/s41538-022-00126-6
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author Walker, M. J.
Cowen, S.
Gray, K.
Hancock, P.
Burns, D. T.
author_facet Walker, M. J.
Cowen, S.
Gray, K.
Hancock, P.
Burns, D. T.
author_sort Walker, M. J.
collection PubMed
description The composition of honey, a complex natural product, challenges analytical methods attempting to determine its authenticity particularly in the face of sophisticated adulteration. Of the advanced analytical techniques available, only isotope ratio mass spectrometry (IRMS) is generally accepted for its reproducibility and ability to detect certain added sugars, with nuclear magnetic resonance (NMR) and high-resolution mass spectrometry (HRMS) being subject to stakeholder differences of opinion. Herein, recent reviews of honey adulteration and the techniques to detect it are summarised in the light of which analytical reports are examined that underpinned a media article in late 2020 alleging foreign sugars in UK retailers’ own brand honeys. The requirement for multiple analytical techniques leads to complex reports from which it is difficult to draw an overarching and unequivocal authenticity opinion. Thus arose two questions. (1) Is it acceptable to report an adverse interpretation without exhibiting all the supporting data? (2) How may a valid overarching authenticity opinion be derived from a large partially conflicting dataset?
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spelling pubmed-88258492022-02-17 Honey authenticity: the opacity of analytical reports - part 1 defining the problem Walker, M. J. Cowen, S. Gray, K. Hancock, P. Burns, D. T. NPJ Sci Food Review Article The composition of honey, a complex natural product, challenges analytical methods attempting to determine its authenticity particularly in the face of sophisticated adulteration. Of the advanced analytical techniques available, only isotope ratio mass spectrometry (IRMS) is generally accepted for its reproducibility and ability to detect certain added sugars, with nuclear magnetic resonance (NMR) and high-resolution mass spectrometry (HRMS) being subject to stakeholder differences of opinion. Herein, recent reviews of honey adulteration and the techniques to detect it are summarised in the light of which analytical reports are examined that underpinned a media article in late 2020 alleging foreign sugars in UK retailers’ own brand honeys. The requirement for multiple analytical techniques leads to complex reports from which it is difficult to draw an overarching and unequivocal authenticity opinion. Thus arose two questions. (1) Is it acceptable to report an adverse interpretation without exhibiting all the supporting data? (2) How may a valid overarching authenticity opinion be derived from a large partially conflicting dataset? Nature Publishing Group UK 2022-02-08 /pmc/articles/PMC8825849/ /pubmed/35136083 http://dx.doi.org/10.1038/s41538-022-00126-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Review Article
Walker, M. J.
Cowen, S.
Gray, K.
Hancock, P.
Burns, D. T.
Honey authenticity: the opacity of analytical reports - part 1 defining the problem
title Honey authenticity: the opacity of analytical reports - part 1 defining the problem
title_full Honey authenticity: the opacity of analytical reports - part 1 defining the problem
title_fullStr Honey authenticity: the opacity of analytical reports - part 1 defining the problem
title_full_unstemmed Honey authenticity: the opacity of analytical reports - part 1 defining the problem
title_short Honey authenticity: the opacity of analytical reports - part 1 defining the problem
title_sort honey authenticity: the opacity of analytical reports - part 1 defining the problem
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8825849/
https://www.ncbi.nlm.nih.gov/pubmed/35136083
http://dx.doi.org/10.1038/s41538-022-00126-6
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