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A Combined Study of Headspace Volatiles using Human Sensory, Mass Spectrometry and Chemometrics
Smokeless tobacco products (STPs) are widely used in certain parts of the world, yet there is limited understanding of how they are consumed, particularly the impact of chemosensory characteristics on their use. In order to develop an understanding of the drivers of STP use and product acceptability...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7210946/ https://www.ncbi.nlm.nih.gov/pubmed/32385293 http://dx.doi.org/10.1038/s41598-020-64491-6 |
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author | McAdam, K. G. Tetteh, J. Bishop, L. Digard, H. Cote, J. Lubbe, S. Liu, C. |
author_facet | McAdam, K. G. Tetteh, J. Bishop, L. Digard, H. Cote, J. Lubbe, S. Liu, C. |
author_sort | McAdam, K. G. |
collection | PubMed |
description | Smokeless tobacco products (STPs) are widely used in certain parts of the world, yet there is limited understanding of how they are consumed, particularly the impact of chemosensory characteristics on their use. In order to develop an understanding of the drivers of STP use and product acceptability we conducted both human sensory panel testing and chemical analyses on a range of STPs. Free-sorting paired odour testing using sensory panellists identified similarities and clear differences between eleven different STPs. Headspace volatiles, analysed by headspace solid-phase microextraction gas chromatography mass spectrometry (HS-SPME-GC-MS), identified 20 to 70 components depending upon the STP. Key differences in headspace volatiles were found between STPs. For example, the headspace of Skoal Bandits Wintergreen was dominated by methyl salicylate, while Marlboro Spice consists of a more complex profile including pinene, nicotine, eugenol and cymene. Chemometric Target Factor Analysis (TFA) and Hierarchical Cluster Analysis (HCA) of chemistry and sensory data was used to deduce chemical drivers of sensory perceptions. The chemometric strategy used showed that headspace analysis is a complementary screening tool to sensory analysis in classification studies. This study is generic with applications across various product sectors that require routine human sensory panel evaluation. |
format | Online Article Text |
id | pubmed-7210946 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-72109462020-05-15 A Combined Study of Headspace Volatiles using Human Sensory, Mass Spectrometry and Chemometrics McAdam, K. G. Tetteh, J. Bishop, L. Digard, H. Cote, J. Lubbe, S. Liu, C. Sci Rep Article Smokeless tobacco products (STPs) are widely used in certain parts of the world, yet there is limited understanding of how they are consumed, particularly the impact of chemosensory characteristics on their use. In order to develop an understanding of the drivers of STP use and product acceptability we conducted both human sensory panel testing and chemical analyses on a range of STPs. Free-sorting paired odour testing using sensory panellists identified similarities and clear differences between eleven different STPs. Headspace volatiles, analysed by headspace solid-phase microextraction gas chromatography mass spectrometry (HS-SPME-GC-MS), identified 20 to 70 components depending upon the STP. Key differences in headspace volatiles were found between STPs. For example, the headspace of Skoal Bandits Wintergreen was dominated by methyl salicylate, while Marlboro Spice consists of a more complex profile including pinene, nicotine, eugenol and cymene. Chemometric Target Factor Analysis (TFA) and Hierarchical Cluster Analysis (HCA) of chemistry and sensory data was used to deduce chemical drivers of sensory perceptions. The chemometric strategy used showed that headspace analysis is a complementary screening tool to sensory analysis in classification studies. This study is generic with applications across various product sectors that require routine human sensory panel evaluation. Nature Publishing Group UK 2020-05-08 /pmc/articles/PMC7210946/ /pubmed/32385293 http://dx.doi.org/10.1038/s41598-020-64491-6 Text en © The Author(s) 2020 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 McAdam, K. G. Tetteh, J. Bishop, L. Digard, H. Cote, J. Lubbe, S. Liu, C. A Combined Study of Headspace Volatiles using Human Sensory, Mass Spectrometry and Chemometrics |
title | A Combined Study of Headspace Volatiles using Human Sensory, Mass Spectrometry and Chemometrics |
title_full | A Combined Study of Headspace Volatiles using Human Sensory, Mass Spectrometry and Chemometrics |
title_fullStr | A Combined Study of Headspace Volatiles using Human Sensory, Mass Spectrometry and Chemometrics |
title_full_unstemmed | A Combined Study of Headspace Volatiles using Human Sensory, Mass Spectrometry and Chemometrics |
title_short | A Combined Study of Headspace Volatiles using Human Sensory, Mass Spectrometry and Chemometrics |
title_sort | combined study of headspace volatiles using human sensory, mass spectrometry and chemometrics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7210946/ https://www.ncbi.nlm.nih.gov/pubmed/32385293 http://dx.doi.org/10.1038/s41598-020-64491-6 |
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