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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Main Authors: Huahong Liu, Yuxin Wu, Ziwei Zhao, Zhi Liu, Renjun Liu, Yuelan Pang, Chun Yang, Yun Zhang, Jinfang Nie
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Foods
Subjects:
Online Access:https://www.mdpi.com/2304-8158/12/22/4114
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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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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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