G
Gao Shiwei
Publications - 61
Citations - 217
Gao Shiwei is an academic researcher. The author has contributed to research in topics: Brick & Bearing (mechanical). The author has an hindex of 6, co-authored 61 publications receiving 158 citations.
Papers
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Journal ArticleDOI
Chemical profile changes during pile fermentation of Qingzhuan tea affect inhibition of α-amylase and lipase.
Lin Feng,Liu Panpan,Zheng Pengcheng,Liang Zhang,Jie Zhou,Gong Ziming,Yongchao Yu,Gao Shiwei,Zheng Lin,Wang Xueping,Xiaochun Wan +10 more
TL;DR: Qualitative analysis showed that amino acids and flavonoids might be responsible for the anti-obesity and anti-hyperglycemic effects of QZT.
Journal ArticleDOI
Comparing characteristic aroma components of bead-shaped green teas from different regions using headspace solid-phase microextraction and gas chromatography–mass spectrometry/olfactometry combined with chemometrics
Liu Panpan,Zheng Pengcheng,Gong Ziming,Lin Feng,Gao Shiwei,Wang Xueping,Teng Jing,Zheng Lin,Zhonghua Liu +8 more
TL;DR: In this article, the aroma components of bead-shaped green teas were compared through headspace solid phase microextraction (HS-SPME) and gas chromatography-mass spectrometry/olfactometry (GC-MS/O) coupled with chemometrics.
Journal ArticleDOI
Gut microbiota-mediated improvement of metabolic disorders by Qingzhuan tea in high fat diet-fed mice
Lin Feng,Jie Zhou,Jie Zhou,Liang Zhang,Liu Panpan,Zheng Pengcheng,Gao Shiwei,Chuankui Song,Yongchao Yu,Gong Ziming,Xiaochun Wan +10 more
TL;DR: The results demonstrate that QZT extract can significantly prevent body weight gain, fat accumulation, and also reduce serum levels of total cholesterol and triglycerides, which is accompanied by a decrease in Firmicutes-to-Bacteroids ratio and relative abundance of S24-7 and Ruminococcaceae.
Patent
Automatic press forming equipment for small tea cake and press forming technological process thereof
Patent
Method for predicting water content of spread green leaves of green tea based on near infrared spectrum technology
Wang Shengpeng,Gong Ziming,Gao Shiwei,Ye Fei,Zheng Pengcheng,Zheng Lin,Teng Jing,Wang Xueping +7 more
TL;DR: In this paper, a method for predicting the water content of spread green leaves of green tea based on the near infrared spectrum technology is proposed, where a near infrared spectroscopy is applied, and an integrating sphere is used as an optical platform for conducting scanning.