Mingzhi Zhu

发表

Complementary transcriptomic and metabolomics analysis reveal the molecular mechanisms of EGCG3″Me biosynthesis in Camellia sinensis

Kunbo Wang, Yong Luo, Si-qi Chen, 2022, Scientia Horticulturae.

Combined analysis of transcriptome and metabolome provides insights into nano-selenium foliar applications to improve summer tea quality (Camellia sinensis)

Qin Li, Kunbo Wang, Jian Zhao, 2023, LWT.

Characteristic fingerprints and change of volatile organic compounds of dark teas during solid-state fermentation with Eurotium cristatum by using HS-GC-IMS, HS-SPME-GC-MS, E-nose and sensory evaluation

Zongjun Li, Yuanliang Wang, Yulian Chen, 2022, LWT.

Integrative analysis of transcriptome and metabolome reveals the mechanism of foliar application of Bacillus amyloliquefaciens to improve summer tea quality (Camellia sinensis).

Juan Li, Zhonghua Liu, Qin Li, 2022, Plant physiology and biochemistry : PPB.

Transcriptome and Metabolome Analysis Revealing the Improved ε-Poly-l-Lysine Production Induced by a Microbial Call from Botrytis cinerea

C. Zhang, Hui Tang, Huawei Zeng, 2022, Applied and environmental microbiology.

Effects of Dietary Energy Levels on Rumen Fermentation, Gastrointestinal Tract Histology, and Bacterial Community Diversity in Fattening Male Hu Lambs

Huansheng Yang, Jianzhong Li, T. Hussain, 2021, Frontiers in Microbiology.

The R2R3 Transcription Factor CsMYB59 Regulates Polyphenol Oxidase Gene CsPPO1 in Tea Plants (Camellia sinensis)

Juan Li, Qin Li, Kunbo Wang, 2021, Frontiers in Plant Science.

Theaflavins in Black Tea Mitigate Aging-Associated Cognitive Dysfunction via the Microbiota-Gut-Brain Axis.

Wei Quan, Xia Liu, Mingzhi Zhu, 2023, Journal of agricultural and food chemistry.

Acteoside palliates d-galactose induced cognitive impairment by regulating intestinal homeostasis.

Xia Liu, Baiyi Lu, Weisu Huang, 2023, Food chemistry.

Effects of Phragmites australis Shoot Remainder Silage on Growth Performance, Blood Biochemical Parameters, and Rumen Microbiota of Beef Cattle

Huansheng Yang, Jianzhong Li, Jia Yin, 2022, Frontiers in Veterinary Science.

The WRKY Transcription Factor CsWRKY70 Regulates EGCG Biosynthesis by Affecting CsLAR and CsUGT84A Expressions in Tea Leaves (Camellia sinensis)

Qin Li, Kunbo Wang, Xiaofeng Song, 2023, Horticulturae.

Effects of dietary energy levels on rumen fermentation, microbiota, and gastrointestinal morphology in growing ewes

Huansheng Yang, Jianzhong Li, Yali Li, 2020, Food science & nutrition.

Variations of stomata development in tea plant (Camellia sinensis) leaves in different light and temperature environments and genetic backgrounds

Juan Li, Penghui Li, Kunbo Wang, 2022, Horticulture research.

Polysaccharides from Fu brick tea ameliorate obesity by modulating gut microbiota and gut microbiota-related short chain fatty acid and amino acid metabolism.

Chen Zhao, Kunbo Wang, Zhonghua Liu, 2023, The Journal of nutritional biochemistry.

Effects of solid-state fermentation with Bacillus subtilis LK-1 on the volatile profile, catechins composition and antioxidant activity of dark teas

Zongjun Li, Yuanliang Wang, Yulian Chen, 2023, Food chemistry: X.

Discrimination and characterization of the volatile profiles of five Fu brick teas from different manufacturing regions by using HS–SPME/GC–MS and HS–GC–IMS

Zongjun Li, Yuanliang Wang, Yulian Chen, 2022, Current research in food science.

Tea polyphenols improve lipid deposition via modulation of gut microbiota in rats and Ningxiang pigs

Huansheng Yang, Mingzhi Zhu, Zhaobin Wang, 2024, Journal of Functional Foods.

Advances in Purple Tea Research: Chemical Compositions, Anthocyanin Synthesis and Regulation, Processing, and Health Benefits

Xiangxiang Huang, Mingzhi Zhu, Meihong Yan, 2024, Horticulturae.

Tea consumption in relation with metabolic syndrome and obesity: A systematic review and meta-analysis of randomized clinical trials

Mingzhi Zhu, Jianan Huang, Yilong Li, 2024, Food Bioscience.

Unveiling key odor-active compounds and bacterial communities in Fu Brick tea from seven Chinese regions: A comprehensive sensomics analysis using GC-MS, GC-O, aroma recombination, omission, and high-throughput sequencing.

Mingzhi Zhu, Lubing Song, Yilong Li, 2024, Food research international.