Varietal Authenticity Assessment of QTMJ Tea Using Non-Targeted Metabolomics and Multi-Elemental Analysis with Chemometrics
In this paper, a combination of non-targeted metabolomics and multi-element analysis was used to investigate the impact of five different cultivars on the sensory quality of QTMJ tea and identify candidate markers for varietal authenticity assessment. With chemometric analysis, a total of 54 differe...
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MDPI AG
2023-11-01
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author | Huahong Liu Yuxin Wu Ziwei Zhao Zhi Liu Renjun Liu Yuelan Pang Chun Yang Yun Zhang Jinfang Nie |
author_facet | Huahong Liu Yuxin Wu Ziwei Zhao Zhi Liu Renjun Liu Yuelan Pang Chun Yang Yun Zhang Jinfang Nie |
author_sort | Huahong Liu |
collection | DOAJ |
description | In this paper, a combination of non-targeted metabolomics and multi-element analysis was used to investigate the impact of five different cultivars on the sensory quality of QTMJ tea and identify candidate markers for varietal authenticity assessment. With chemometric analysis, a total of 54 differential metabolites were screened, with the abundances significantly varied in the tea cultivars. By contrast, the QTMJ tea from the Yaoshan Xiulv (XL) monovariety presents a much better sensory quality as result of the relatively more abundant anthocyanin glycosides and the lower levels of 2′-o-methyladenosine, denudatine, kynurenic acid and L-pipecolic acid. In addition, multi-elemental analysis found 14 significantly differential elements among the cultivars (VIP > 1 and <i>p</i> < 0.05). The differences and correlations of metabolites and elemental signatures of QTMJ tea between five cultivars were discussed using a Pearson correlation analysis. Element characteristics can be used as the best discriminant index for different cultivars of QTMJT, with a predictive accuracy of 100%. |
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language | English |
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spelling | doaj.art-b623c1382e98435c87e0ed02f3f700cd2023-11-24T14:42:06ZengMDPI AGFoods2304-81582023-11-011222411410.3390/foods12224114Varietal Authenticity Assessment of QTMJ Tea Using Non-Targeted Metabolomics and Multi-Elemental Analysis with ChemometricsHuahong Liu0Yuxin Wu1Ziwei Zhao2Zhi Liu3Renjun Liu4Yuelan Pang5Chun Yang6Yun Zhang7Jinfang Nie8College of Chemistry and Bioengineering, Guilin University of Technology, Guilin 541004, ChinaCollege of Chemistry and Bioengineering, Guilin University of Technology, Guilin 541004, ChinaCollege of Chemistry and Bioengineering, Guilin University of Technology, Guilin 541004, ChinaCollege of Agriculture and Biotechnology, Hunan University of Humanities, Science and Technology, Loudi 417000, ChinaCollege of Chemistry and Bioengineering, Guilin University of Technology, Guilin 541004, ChinaGuangxi Research Institute of Tea Science, Guilin 541004, ChinaGuangxi Research Institute of Tea Science, Guilin 541004, ChinaCollege of Chemistry and Bioengineering, Guilin University of Technology, Guilin 541004, ChinaCollege of Chemistry and Bioengineering, Guilin University of Technology, Guilin 541004, ChinaIn this paper, a combination of non-targeted metabolomics and multi-element analysis was used to investigate the impact of five different cultivars on the sensory quality of QTMJ tea and identify candidate markers for varietal authenticity assessment. With chemometric analysis, a total of 54 differential metabolites were screened, with the abundances significantly varied in the tea cultivars. By contrast, the QTMJ tea from the Yaoshan Xiulv (XL) monovariety presents a much better sensory quality as result of the relatively more abundant anthocyanin glycosides and the lower levels of 2′-o-methyladenosine, denudatine, kynurenic acid and L-pipecolic acid. In addition, multi-elemental analysis found 14 significantly differential elements among the cultivars (VIP > 1 and <i>p</i> < 0.05). The differences and correlations of metabolites and elemental signatures of QTMJ tea between five cultivars were discussed using a Pearson correlation analysis. Element characteristics can be used as the best discriminant index for different cultivars of QTMJT, with a predictive accuracy of 100%.https://www.mdpi.com/2304-8158/12/22/4114QTMJ teanon-targeted metabolomicsmulti-elemental analysischemometricsvarietal authenticity assessment |
spellingShingle | Huahong Liu Yuxin Wu Ziwei Zhao Zhi Liu Renjun Liu Yuelan Pang Chun Yang Yun Zhang Jinfang Nie Varietal Authenticity Assessment of QTMJ Tea Using Non-Targeted Metabolomics and Multi-Elemental Analysis with Chemometrics Foods QTMJ tea non-targeted metabolomics multi-elemental analysis chemometrics varietal authenticity assessment |
title | Varietal Authenticity Assessment of QTMJ Tea Using Non-Targeted Metabolomics and Multi-Elemental Analysis with Chemometrics |
title_full | Varietal Authenticity Assessment of QTMJ Tea Using Non-Targeted Metabolomics and Multi-Elemental Analysis with Chemometrics |
title_fullStr | Varietal Authenticity Assessment of QTMJ Tea Using Non-Targeted Metabolomics and Multi-Elemental Analysis with Chemometrics |
title_full_unstemmed | Varietal Authenticity Assessment of QTMJ Tea Using Non-Targeted Metabolomics and Multi-Elemental Analysis with Chemometrics |
title_short | Varietal Authenticity Assessment of QTMJ Tea Using Non-Targeted Metabolomics and Multi-Elemental Analysis with Chemometrics |
title_sort | varietal authenticity assessment of qtmj tea using non targeted metabolomics and multi elemental analysis with chemometrics |
topic | QTMJ tea non-targeted metabolomics multi-elemental analysis chemometrics varietal authenticity assessment |
url | https://www.mdpi.com/2304-8158/12/22/4114 |
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