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Honey authenticity: the opacity of analytical reports—part 2, forensic evaluative reporting as a potential solution
The analytical techniques applied to verify honey authenticity are multifaceted and often result in complex data rich certificates of analysis that are open to interpretation and may be opaque to stakeholders without specialist knowledge. In these cases, the drawing of an independent overarching opi...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8826424/ https://www.ncbi.nlm.nih.gov/pubmed/35136072 http://dx.doi.org/10.1038/s41538-022-00127-5 |
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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 analytical techniques applied to verify honey authenticity are multifaceted and often result in complex data rich certificates of analysis that are open to interpretation and may be opaque to stakeholders without specialist knowledge. In these cases, the drawing of an independent overarching opinion is challenging. Two questions arise: (Q1) Is it acceptable to report interpretation, particularly if it is adverse, without exhibiting the supporting data? (Q2) How may a valid overarching opinion on authenticity be derived from a large, partially conflicting, dataset? To Q1, it is demonstrated that full disclosure of the data used in interpretation is mandatory. To Q2 it is proposed, with worked examples, to adopt ‘evaluative reporting’; a formalised likelihood ratio thought process used in forensic science for evaluation of findings and their strength assessment. In the absence of consensus on techniques for honey authenticity adoption of reporting conventions will allow objective assessments of reports, with equity to all and provide a better basis to identify and address fraud. |
format | Online Article Text |
id | pubmed-8826424 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-88264242022-02-17 Honey authenticity: the opacity of analytical reports—part 2, forensic evaluative reporting as a potential solution Walker, M. J. Cowen, S. Gray, K. Hancock, P. Burns, D. T. NPJ Sci Food Perspective The analytical techniques applied to verify honey authenticity are multifaceted and often result in complex data rich certificates of analysis that are open to interpretation and may be opaque to stakeholders without specialist knowledge. In these cases, the drawing of an independent overarching opinion is challenging. Two questions arise: (Q1) Is it acceptable to report interpretation, particularly if it is adverse, without exhibiting the supporting data? (Q2) How may a valid overarching opinion on authenticity be derived from a large, partially conflicting, dataset? To Q1, it is demonstrated that full disclosure of the data used in interpretation is mandatory. To Q2 it is proposed, with worked examples, to adopt ‘evaluative reporting’; a formalised likelihood ratio thought process used in forensic science for evaluation of findings and their strength assessment. In the absence of consensus on techniques for honey authenticity adoption of reporting conventions will allow objective assessments of reports, with equity to all and provide a better basis to identify and address fraud. Nature Publishing Group UK 2022-02-08 /pmc/articles/PMC8826424/ /pubmed/35136072 http://dx.doi.org/10.1038/s41538-022-00127-5 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 | Perspective Walker, M. J. Cowen, S. Gray, K. Hancock, P. Burns, D. T. Honey authenticity: the opacity of analytical reports—part 2, forensic evaluative reporting as a potential solution |
title | Honey authenticity: the opacity of analytical reports—part 2, forensic evaluative reporting as a potential solution |
title_full | Honey authenticity: the opacity of analytical reports—part 2, forensic evaluative reporting as a potential solution |
title_fullStr | Honey authenticity: the opacity of analytical reports—part 2, forensic evaluative reporting as a potential solution |
title_full_unstemmed | Honey authenticity: the opacity of analytical reports—part 2, forensic evaluative reporting as a potential solution |
title_short | Honey authenticity: the opacity of analytical reports—part 2, forensic evaluative reporting as a potential solution |
title_sort | honey authenticity: the opacity of analytical reports—part 2, forensic evaluative reporting as a potential solution |
topic | Perspective |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8826424/ https://www.ncbi.nlm.nih.gov/pubmed/35136072 http://dx.doi.org/10.1038/s41538-022-00127-5 |
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