These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
220 related articles for article (PubMed ID: 34979399)
1. Metabolomics combined with proteomics provides a novel interpretation of the compound differences among Chinese tea cultivars (Camellia sinensis var. sinensis) with different manufacturing suitabilities. Chen D; Sun Z; Gao J; Peng J; Wang Z; Zhao Y; Lin Z; Dai W Food Chem; 2022 May; 377():131976. PubMed ID: 34979399 [TBL] [Abstract][Full Text] [Related]
2. A comprehensive study of the differences in protein expression and chemical constituents in tea leaves (Camellia sinensis var. sinensis) with different maturity using a combined proteomics and metabolomics method. Sun Z; Chen D; Zhu L; Zhao Y; Lin Z; Li X; Dai W Food Res Int; 2022 Jul; 157():111397. PubMed ID: 35761651 [TBL] [Abstract][Full Text] [Related]
3. Metabolomic analysis reveals the composition differences in 13 Chinese tea cultivars of different manufacturing suitabilities. Li P; Dai W; Lu M; Xie D; Tan J; Yang C; Zhu Y; Lv H; Peng Q; Zhang Y; Guo L; Ni D; Lin Z J Sci Food Agric; 2018 Feb; 98(3):1153-1161. PubMed ID: 28734044 [TBL] [Abstract][Full Text] [Related]
4. Dynamic changes in the non-volatile and flavour compounds in withered tea leaves of three different colour cultivars based on multi-omics. Ye Y; Gong Y; Huang P; Luo F; Gan R; Fang C Food Chem; 2024 Aug; 449():139281. PubMed ID: 38608608 [TBL] [Abstract][Full Text] [Related]
5. Metabolomic and Pathway Changes in Large-Leaf, Middle-Leaf and Small-Leaf Cultivars of Camellia sinensis (L.) Kuntze var. niaowangensis. Wang C; Lyu H; Guo Z Chem Biodivers; 2021 Jun; 18(6):e2100132. PubMed ID: 33928738 [TBL] [Abstract][Full Text] [Related]
6. Comprehensive investigation on non-volatile and volatile metabolites in four types of green teas obtained from the same tea cultivar of Longjing 43 (Camellia sinensis var. sinensis) using the widely targeted metabolomics. Shi Y; Zhu Y; Ma W; Shi J; Peng Q; Lin Z; Lv H Food Chem; 2022 Nov; 394():133501. PubMed ID: 35728471 [TBL] [Abstract][Full Text] [Related]
7. Regulation of color transition in purple tea (Camellia sinensis). Kumari M; Thakur S; Kumar A; Joshi R; Kumar P; Shankar R; Kumar R Planta; 2019 Dec; 251(1):35. PubMed ID: 31853722 [TBL] [Abstract][Full Text] [Related]
8. Metabolic Profiling and Gene Expression Analyses of Purple-Leaf Formation in Tea Cultivars ( Zhu MZ; Zhou F; Ran LS; Li YL; Tan B; Wang KB; Huang JA; Liu ZH Front Plant Sci; 2021; 12():606962. PubMed ID: 33746994 [TBL] [Abstract][Full Text] [Related]
9. Metabolomics combined with proteomics provides a novel interpretation of the changes in nonvolatile compounds during white tea processing. Chen Q; Shi J; Mu B; Chen Z; Dai W; Lin Z Food Chem; 2020 Dec; 332():127412. PubMed ID: 32623128 [TBL] [Abstract][Full Text] [Related]
10. Comprehensive Dissection of Metabolic Changes in Albino and Green Tea Cultivars. Li CF; Ma JQ; Huang DJ; Ma CL; Jin JQ; Yao MZ; Chen L J Agric Food Chem; 2018 Feb; 66(8):2040-2048. PubMed ID: 29397711 [TBL] [Abstract][Full Text] [Related]
11. Region identification of Xinyang Maojian tea using UHPLC-Q-TOF/MS-based metabolomics coupled with multivariate statistical analyses. Wang Z; Ma B; Ma C; Zheng C; Zhou B; Guo G; Xia T J Food Sci; 2021 May; 86(5):1681-1691. PubMed ID: 33798265 [TBL] [Abstract][Full Text] [Related]
12. Metabolite signatures of diverse Camellia sinensis tea populations. Yu X; Xiao J; Chen S; Yu Y; Ma J; Lin Y; Li R; Lin J; Fu Z; Zhou Q; Chao Q; Chen L; Yang Z; Liu R Nat Commun; 2020 Nov; 11(1):5586. PubMed ID: 33149146 [TBL] [Abstract][Full Text] [Related]
13. Analysis of Young Shoots of 'Anji Baicha' (Camellia sinensis) at Three Developmental Stages Using Nontargeted LC-MS-Based Metabolomics. Zeng C; Lin H; Liu Z; Liu Z J Food Sci; 2019 Jul; 84(7):1746-1757. PubMed ID: 31206686 [TBL] [Abstract][Full Text] [Related]
14. Non-targeted and targeted metabolomics profiling of tea plants (Camellia sinensis) in response to its intercropping with Chinese chestnut. Wu T; Zou R; Pu D; Lan Z; Zhao B BMC Plant Biol; 2021 Jan; 21(1):55. PubMed ID: 33478393 [TBL] [Abstract][Full Text] [Related]
15. Widely targeted metabolomics using UPLC-QTRAP-MS/MS reveals chemical changes during the processing of black tea from the cultivar Camellia sinensis (L.) O. Kuntze cv. Huangjinya. Zhou J; Fang T; Li W; Jiang Z; Zhou T; Zhang L; Yu Y Food Res Int; 2022 Dec; 162(Pt B):112169. PubMed ID: 36461370 [TBL] [Abstract][Full Text] [Related]
16. Metabolomics analysis of Camellia sinensis with respect to harvesting time. Zeng C; Lin H; Liu Z; Liu Z Food Res Int; 2020 Feb; 128():108814. PubMed ID: 31955770 [TBL] [Abstract][Full Text] [Related]
17. Metabolomic unveiling of a diverse range of green tea (Camellia sinensis) metabolites dependent on geography. Lee JE; Lee BJ; Chung JO; Kim HN; Kim EH; Jung S; Lee H; Lee SJ; Hong YS Food Chem; 2015 May; 174():452-9. PubMed ID: 25529705 [TBL] [Abstract][Full Text] [Related]
18. Understanding the formation mechanism of oolong tea characteristic non-volatile chemical constitutes during manufacturing processes by using integrated widely-targeted metabolome and DIA proteome analysis. Wu L; Huang X; Liu S; Liu J; Guo Y; Sun Y; Lin J; Guo Y; Wei S Food Chem; 2020 Apr; 310():125941. PubMed ID: 31835227 [TBL] [Abstract][Full Text] [Related]
19. Differences in Chemical Composition among Commercially Important Cultivars of Genus Camellia. Wang Y; Kan Z; Wang D; Zhang L; Wan X; McGinley JN; Thompson HJ J Agric Food Chem; 2019 May; 67(19):5457-5464. PubMed ID: 30577696 [TBL] [Abstract][Full Text] [Related]
20. New insights into the influences of baking and storage on the nonvolatile compounds in oolong tea: A nontargeted and targeted metabolomics study. Peng J; Dai W; Lu M; Yan Y; Zhang Y; Chen D; Wu W; Gao J; Dong M; Lin Z Food Chem; 2022 May; 375():131872. PubMed ID: 34953237 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]