Application of band-selective HSQC NMR in species discrimination and adulteration identification of Panax Linn
The quality of Panax Linn products available in the market is threatened by adulteration with different Panax species, such as Panax quinquefolium (PQ), Panax ginseng (PG), and Panax notoginseng (PN). In this paper, we established a 2D band-selective heteronuclear single quantum coherence (bs-HSQC)...
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my.utm.1058582024-05-26T08:50:25Z http://eprints.utm.my/105858/ Application of band-selective HSQC NMR in species discrimination and adulteration identification of Panax Linn Guo, Congcong Dong, Jiyang Deng, Lingli Cheng, Kian Kai Xu, Yue Zhu, Haowen Deng, Anjun Zhou, Xia Qin, Hailin Wang, Yinghong Q Science (General) S Agriculture (General) The quality of Panax Linn products available in the market is threatened by adulteration with different Panax species, such as Panax quinquefolium (PQ), Panax ginseng (PG), and Panax notoginseng (PN). In this paper, we established a 2D band-selective heteronuclear single quantum coherence (bs-HSQC) NMR method to discriminate species and detect adulteration of Panax Linn. The method involves selective excitation of the anomeric carbon resonance region of saponins and non-uniform sampling (NUS) to obtain high-resolution spectra in less than 10 min. The combined strategy overcomes the signal overlap limitation in 1H NMR and the long acquisition time in traditional HSQC. The present results showed that twelve well-separated resonance peaks can be assigned in the bs-HSQC spectra, which are of high resolution, good repeatability, and precision. Notably, the identification accuracy of species was found to be 100% for all tests conducted in the present study. Furthermore, in combination with multivariate statistical methods, the proposed method can effectively determine the composition proportion of adulterants (from 10% to 90%). Based on the PLS-DA models, the identification accuracy was greater than 80% when composition proportion of adulterants was 10%. Thus, the proposed method may provide a fast, practical, and effective analysis technique for food quality control or authenticity identification. MDPI 2023-06 Article PeerReviewed application/pdf en http://eprints.utm.my/105858/1/ChengKianKai2023_ApplicationofBandSelectiveHSQCNMR.pdf Guo, Congcong and Dong, Jiyang and Deng, Lingli and Cheng, Kian Kai and Xu, Yue and Zhu, Haowen and Deng, Anjun and Zhou, Xia and Qin, Hailin and Wang, Yinghong (2023) Application of band-selective HSQC NMR in species discrimination and adulteration identification of Panax Linn. Molecules, 28 (11). pp. 1-14. ISSN 1420-3049 http://dx.doi.org/10.3390/molecules28114332 DOI:10.3390/molecules28114332 |
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Q Science (General) S Agriculture (General) Guo, Congcong Dong, Jiyang Deng, Lingli Cheng, Kian Kai Xu, Yue Zhu, Haowen Deng, Anjun Zhou, Xia Qin, Hailin Wang, Yinghong Application of band-selective HSQC NMR in species discrimination and adulteration identification of Panax Linn |
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The quality of Panax Linn products available in the market is threatened by adulteration with different Panax species, such as Panax quinquefolium (PQ), Panax ginseng (PG), and Panax notoginseng (PN). In this paper, we established a 2D band-selective heteronuclear single quantum coherence (bs-HSQC) NMR method to discriminate species and detect adulteration of Panax Linn. The method involves selective excitation of the anomeric carbon resonance region of saponins and non-uniform sampling (NUS) to obtain high-resolution spectra in less than 10 min. The combined strategy overcomes the signal overlap limitation in 1H NMR and the long acquisition time in traditional HSQC. The present results showed that twelve well-separated resonance peaks can be assigned in the bs-HSQC spectra, which are of high resolution, good repeatability, and precision. Notably, the identification accuracy of species was found to be 100% for all tests conducted in the present study. Furthermore, in combination with multivariate statistical methods, the proposed method can effectively determine the composition proportion of adulterants (from 10% to 90%). Based on the PLS-DA models, the identification accuracy was greater than 80% when composition proportion of adulterants was 10%. Thus, the proposed method may provide a fast, practical, and effective analysis technique for food quality control or authenticity identification. |
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Article |
author |
Guo, Congcong Dong, Jiyang Deng, Lingli Cheng, Kian Kai Xu, Yue Zhu, Haowen Deng, Anjun Zhou, Xia Qin, Hailin Wang, Yinghong |
author_facet |
Guo, Congcong Dong, Jiyang Deng, Lingli Cheng, Kian Kai Xu, Yue Zhu, Haowen Deng, Anjun Zhou, Xia Qin, Hailin Wang, Yinghong |
author_sort |
Guo, Congcong |
title |
Application of band-selective HSQC NMR in species discrimination and adulteration identification of Panax Linn |
title_short |
Application of band-selective HSQC NMR in species discrimination and adulteration identification of Panax Linn |
title_full |
Application of band-selective HSQC NMR in species discrimination and adulteration identification of Panax Linn |
title_fullStr |
Application of band-selective HSQC NMR in species discrimination and adulteration identification of Panax Linn |
title_full_unstemmed |
Application of band-selective HSQC NMR in species discrimination and adulteration identification of Panax Linn |
title_sort |
application of band-selective hsqc nmr in species discrimination and adulteration identification of panax linn |
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MDPI |
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2023 |
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http://eprints.utm.my/105858/1/ChengKianKai2023_ApplicationofBandSelectiveHSQCNMR.pdf http://eprints.utm.my/105858/ http://dx.doi.org/10.3390/molecules28114332 |
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