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Analysis of volatile compounds by GCMS reveals their rice cultivars
Due to the similarity in the grain and difference in the market value among many rice varieties, deliberate mislabeling and adulteration has become a serious problem. To check the authenticity, we aimed to discriminate rice varieties based on their volatile organic compounds (VOCs) composition by he...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10192344/ https://www.ncbi.nlm.nih.gov/pubmed/37198224 http://dx.doi.org/10.1038/s41598-023-34797-2 |
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author | Hu, Shengying Ren, Hongbo Song, Yong Liu, Feng Qian, Lili Zuo, Feng Meng, Li |
author_facet | Hu, Shengying Ren, Hongbo Song, Yong Liu, Feng Qian, Lili Zuo, Feng Meng, Li |
author_sort | Hu, Shengying |
collection | PubMed |
description | Due to the similarity in the grain and difference in the market value among many rice varieties, deliberate mislabeling and adulteration has become a serious problem. To check the authenticity, we aimed to discriminate rice varieties based on their volatile organic compounds (VOCs) composition by headspace solid phase microextraction (HS-SPME) coupled with gas chromatography mass spectrometry (GC–MS). The VOC profiles of Wuyoudao 4 from nine sites in Wuchang were compared to 11 rice cultivar from other regions. Multivariate analysis and unsupervised clustering showed an unambiguous distinction between Wuchang rice and non-Wuchang rice. Partial least squares discriminant analysis (PLS-DA) demonstrated a goodness of fit of 0.90 and a goodness of prediction of 0.85. The discriminating ability of volatile compounds is also supported by Random forest analysis. Our data revealed eight biomarkers including 2-acetyl-1-pyrroline (2-AP) that can be used for variation identification. Taken together, the current method can readily distinguish Wuchang rice from other varieties which it holds great potential in checking the authenticity of rice. |
format | Online Article Text |
id | pubmed-10192344 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-101923442023-05-19 Analysis of volatile compounds by GCMS reveals their rice cultivars Hu, Shengying Ren, Hongbo Song, Yong Liu, Feng Qian, Lili Zuo, Feng Meng, Li Sci Rep Article Due to the similarity in the grain and difference in the market value among many rice varieties, deliberate mislabeling and adulteration has become a serious problem. To check the authenticity, we aimed to discriminate rice varieties based on their volatile organic compounds (VOCs) composition by headspace solid phase microextraction (HS-SPME) coupled with gas chromatography mass spectrometry (GC–MS). The VOC profiles of Wuyoudao 4 from nine sites in Wuchang were compared to 11 rice cultivar from other regions. Multivariate analysis and unsupervised clustering showed an unambiguous distinction between Wuchang rice and non-Wuchang rice. Partial least squares discriminant analysis (PLS-DA) demonstrated a goodness of fit of 0.90 and a goodness of prediction of 0.85. The discriminating ability of volatile compounds is also supported by Random forest analysis. Our data revealed eight biomarkers including 2-acetyl-1-pyrroline (2-AP) that can be used for variation identification. Taken together, the current method can readily distinguish Wuchang rice from other varieties which it holds great potential in checking the authenticity of rice. Nature Publishing Group UK 2023-05-17 /pmc/articles/PMC10192344/ /pubmed/37198224 http://dx.doi.org/10.1038/s41598-023-34797-2 Text en © The Author(s) 2023 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Hu, Shengying Ren, Hongbo Song, Yong Liu, Feng Qian, Lili Zuo, Feng Meng, Li Analysis of volatile compounds by GCMS reveals their rice cultivars |
title | Analysis of volatile compounds by GCMS reveals their rice cultivars |
title_full | Analysis of volatile compounds by GCMS reveals their rice cultivars |
title_fullStr | Analysis of volatile compounds by GCMS reveals their rice cultivars |
title_full_unstemmed | Analysis of volatile compounds by GCMS reveals their rice cultivars |
title_short | Analysis of volatile compounds by GCMS reveals their rice cultivars |
title_sort | analysis of volatile compounds by gcms reveals their rice cultivars |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10192344/ https://www.ncbi.nlm.nih.gov/pubmed/37198224 http://dx.doi.org/10.1038/s41598-023-34797-2 |
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