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Study on the Variation Law of the Main Mechanical Properties in the Processing of Longjing Tea.
Li C, Wang X, Zhang D, Chen Y, Jiang X, Ni D. Li C, et al. Foods. 2023 Jul 3;12(13):2587. doi: 10.3390/foods12132587. Foods. 2023. PMID: 37444325 Free PMC article.
The variation in the main mechanical properties, such as texture and tensile properties, during the processing of Longjing tea was examined by using texture profile analysis (TPA) and stress-strain tensile tests. ...The research findings can provide parameters for optimizi …
The variation in the main mechanical properties, such as texture and tensile properties, during the processing of Longjing tea was ex …
Unraveling the contributing factors of stale odor in Longjing tea through a sensomics approach.
Cao Y, Huang C, Guo Y, Xu Y, Gong S, Chu Q, Chen P. Cao Y, et al. Food Chem. 2024 May 30;441:138301. doi: 10.1016/j.foodchem.2023.138301. Epub 2023 Dec 30. Food Chem. 2024. PMID: 38176144
Longjing tea is renowned for its fresh aroma and high value. However, during storage, the emergence of an off-flavor known as "stale odor" can significantly impact the flavor quality and economic benefits of Longjing tea. ...These findings provide essential theoreti …
Longjing tea is renowned for its fresh aroma and high value. However, during storage, the emergence of an off-flavor known as "stale …
Chemometrics-based investigation of non-volatiles/volatiles flavor of tencha (Camellia sinensis cv. Yabukita, Longjing 43 and Baiye 1).
Yu Q, Huang C, Zhu R, Lu D, Liu L, Lai J, Zhong X, Guan J, Zhou S, Tong Y, Wang Z, Chen P, Guo H, Chu Q, Gong S, Fan F. Yu Q, et al. Food Res Int. 2023 Nov;173(Pt 2):113461. doi: 10.1016/j.foodres.2023.113461. Epub 2023 Sep 11. Food Res Int. 2023. PMID: 37803791
To enhance the understanding of the flavor formation mechanism in tencha and further to develop new cultivars resources, we investigated non-volatiles and volatile metabolites as well as sensory traits in tencha from different tea cultivars (Camellia sinensis cv. Yabukita, Lon …
To enhance the understanding of the flavor formation mechanism in tencha and further to develop new cultivars resources, we investigated non …
Analyzing the influence of withering degree on the dynamic changes in non-volatile metabolites and sensory quality of Longjing green tea by non-targeted metabolomics.
Shan X, Yu Q, Chen L, Zhang S, Zhu J, Jiang Y, Yuan H, Zhou Q, Li J, Wang Y, Deng Y, Li J. Shan X, et al. Front Nutr. 2023 Mar 14;10:1104926. doi: 10.3389/fnut.2023.1104926. eCollection 2023. Front Nutr. 2023. PMID: 36998915 Free PMC article.
The aim of this work was to comprehensively investigate the changes of chemical features and flavor attributes in Longjing green teas produced with five different withering degrees (moisture content of 75.05, 72.53, 70.07, 68.00, and 64.78%, w.b.). ...Overall, an appropria …
The aim of this work was to comprehensively investigate the changes of chemical features and flavor attributes in Longjing green teas …
Key umami taste contributors in Longjing green tea uncovered by integrated means of sensory quantitative descriptive analysis, metabolomics, quantification analysis and taste addition experiments.
Shan X, Jiang Y, Zhang S, Chen L, Niu L, Zhang Q, Zhou Q, Wang Y, Yuan H, Li J. Shan X, et al. Food Chem. 2024 Sep 30;453:139628. doi: 10.1016/j.foodchem.2024.139628. Epub 2024 May 11. Food Chem. 2024. PMID: 38761731
The aim of this study was to comprehensively explore the key umami taste contributors in Longjing tea. The taste and molecular profiles of 36 Longjing green tea infusions were characterized by sensory quantitative descriptive analysis and LC-MS based metabolomics, r …
The aim of this study was to comprehensively explore the key umami taste contributors in Longjing tea. The taste and molecular profil …
Predictive models for sensory score and physicochemical composition of Yuezhou Longjing tea using near-infrared spectroscopy and data fusion.
Chen Y, Guo M, Chen K, Jiang X, Ding Z, Zhang H, Lu M, Qi D, Dong C. Chen Y, et al. Talanta. 2024 Jun 1;273:125892. doi: 10.1016/j.talanta.2024.125892. Epub 2024 Mar 14. Talanta. 2024. PMID: 38493609
In this study, NIR quantitative prediction model was established for sensory score and physicochemical components of different varieties and quality grades of Yuezhou Longjing tea. Firstly, L, a, b color factors and diffuse reflection spectral data are collected for each s …
In this study, NIR quantitative prediction model was established for sensory score and physicochemical components of different varieties and …
Concentrations and analysis of health risks of ambient air metallic elements at Longjing site in central Taiwan.
Fang GC, Chen YC, Lo CT, Cho MH, Zhuang YJ, Tsai KH, Huang CY, Xiao YF. Fang GC, et al. Environ Geochem Health. 2018 Feb;40(1):461-472. doi: 10.1007/s10653-017-9933-6. Epub 2017 Mar 16. Environ Geochem Health. 2018. PMID: 28303454
The concentrations of particulates and metallic elements that were bound to total suspended particulates in ambient air at Long Cyuan Elementary School (LCYES), Lung Ching Elementary School (LCHES) and Long Shan Primary School (LSPS) sampling sites in the Longjing area wer …
The concentrations of particulates and metallic elements that were bound to total suspended particulates in ambient air at Long Cyuan Elemen …
Population sequencing enhances understanding of tea plant evolution.
Wang X, Feng H, Chang Y, Ma C, Wang L, Hao X, Li A, Cheng H, Wang L, Cui P, Jin J, Wang X, Wei K, Ai C, Zhao S, Wu Z, Li Y, Liu B, Wang GD, Chen L, Ruan J, Yang Y. Wang X, et al. Nat Commun. 2020 Sep 7;11(1):4447. doi: 10.1038/s41467-020-18228-8. Nat Commun. 2020. PMID: 32895382 Free PMC article.
In this study, we assemble a 3.26-Gb high-quality chromosome-scale genome for the 'Longjing 43' cultivar of Camellia sinensis var. sinensis. Genomic resequencing of 139 tea accessions from around the world is used to investigate the evolution and phylogenetic relationships …
In this study, we assemble a 3.26-Gb high-quality chromosome-scale genome for the 'Longjing 43' cultivar of Camellia sinensis var. si …
44 results