Differentiation of Nigella sativa seeds from four different origins and their bioactivity correlations based on NMR-metabolomics approach
Authenticity and quality coherence are the major elements in ensuring the consistency of the expected beneficial outcomes from the use of traditional or herbal remedies. Metabolomics offers the possibility of addressing these issues. Principal Component Analysis (PCA) was applied to select the best...
| Main Authors: | , , , , , , |
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| Format: | Article |
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Elsevier
2015
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| Online Access: | http://psasir.upm.edu.my/id/eprint/44353/ |
| _version_ | 1848850432501219328 |
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| author | Maulidiani, M. Sheikh, Bassem Y. Mediani, Ahmed Leong, Sze Wei Ismail, Intan Safinar Abas, Faridah Lajis, Nordin |
| author_facet | Maulidiani, M. Sheikh, Bassem Y. Mediani, Ahmed Leong, Sze Wei Ismail, Intan Safinar Abas, Faridah Lajis, Nordin |
| author_sort | Maulidiani, M. |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Authenticity and quality coherence are the major elements in ensuring the consistency of the expected beneficial outcomes from the use of traditional or herbal remedies. Metabolomics offers the possibility of addressing these issues. Principal Component Analysis (PCA) was applied to select the best solvent system for sample extraction. Partial Least Square (PLS) regression analysis was found useful in evaluating the relationship between Nigella sativa seeds from four different origins on the basis of their metabolite profiles. In this study, different bioactivities were displayed by different samples with the Qasemi and Syrian samples exhibited high α-glucosidase inhibitory activity, which was correlated to the high fatty acid contents based on the PLS model. The Ethiopian sample exhibited high DPPH radical scavenging and nitric oxide (NO) inhibition activities, which may be related to the presence of high levels of thymoquinone and thymol. The method was also successfully used to classify “new test” samples into their proper groups. |
| first_indexed | 2025-11-15T10:06:12Z |
| format | Article |
| id | upm-44353 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T10:06:12Z |
| publishDate | 2015 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-443532023-12-25T08:39:33Z http://psasir.upm.edu.my/id/eprint/44353/ Differentiation of Nigella sativa seeds from four different origins and their bioactivity correlations based on NMR-metabolomics approach Maulidiani, M. Sheikh, Bassem Y. Mediani, Ahmed Leong, Sze Wei Ismail, Intan Safinar Abas, Faridah Lajis, Nordin Authenticity and quality coherence are the major elements in ensuring the consistency of the expected beneficial outcomes from the use of traditional or herbal remedies. Metabolomics offers the possibility of addressing these issues. Principal Component Analysis (PCA) was applied to select the best solvent system for sample extraction. Partial Least Square (PLS) regression analysis was found useful in evaluating the relationship between Nigella sativa seeds from four different origins on the basis of their metabolite profiles. In this study, different bioactivities were displayed by different samples with the Qasemi and Syrian samples exhibited high α-glucosidase inhibitory activity, which was correlated to the high fatty acid contents based on the PLS model. The Ethiopian sample exhibited high DPPH radical scavenging and nitric oxide (NO) inhibition activities, which may be related to the presence of high levels of thymoquinone and thymol. The method was also successfully used to classify “new test” samples into their proper groups. Elsevier 2015 Article PeerReviewed Maulidiani, M. and Sheikh, Bassem Y. and Mediani, Ahmed and Leong, Sze Wei and Ismail, Intan Safinar and Abas, Faridah and Lajis, Nordin (2015) Differentiation of Nigella sativa seeds from four different origins and their bioactivity correlations based on NMR-metabolomics approach. Phytochemistry Letters, 13. pp. 308-318. ISSN 1874-3900; ESSN: 1876-7486 https://www.sciencedirect.com/science/article/pii/S1874390015300306 10.1016/j.phytol.2015.07.012 |
| spellingShingle | Maulidiani, M. Sheikh, Bassem Y. Mediani, Ahmed Leong, Sze Wei Ismail, Intan Safinar Abas, Faridah Lajis, Nordin Differentiation of Nigella sativa seeds from four different origins and their bioactivity correlations based on NMR-metabolomics approach |
| title | Differentiation of Nigella sativa seeds from four different origins and their bioactivity correlations based on NMR-metabolomics approach |
| title_full | Differentiation of Nigella sativa seeds from four different origins and their bioactivity correlations based on NMR-metabolomics approach |
| title_fullStr | Differentiation of Nigella sativa seeds from four different origins and their bioactivity correlations based on NMR-metabolomics approach |
| title_full_unstemmed | Differentiation of Nigella sativa seeds from four different origins and their bioactivity correlations based on NMR-metabolomics approach |
| title_short | Differentiation of Nigella sativa seeds from four different origins and their bioactivity correlations based on NMR-metabolomics approach |
| title_sort | differentiation of nigella sativa seeds from four different origins and their bioactivity correlations based on nmr-metabolomics approach |
| url | http://psasir.upm.edu.my/id/eprint/44353/ http://psasir.upm.edu.my/id/eprint/44353/ http://psasir.upm.edu.my/id/eprint/44353/ |