Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Beibei Geng"'
Publikováno v:
Molecules, Vol 28, Iss 24, p 8044 (2023)
Lycium barbarum, a homology of medicine and food, contains many active ingredients including polysaccharides, polyphenol, betaine, and carotenoids, which has health benefits and economic value. The bioactive components in Lycium barbarum exhibit the
Externí odkaz:
https://doaj.org/article/e4785eff44684d0aa8a5bff920825e86
Autor:
Ting Xia, Xiao Qiang, Beibei Geng, Xiaodong Zhang, Yiming Wang, Shaopeng Li, Yuan Meng, Yu Zheng, Min Wang
Publikováno v:
International Journal of Molecular Sciences, Vol 23, Iss 24, p 15839 (2022)
Wolfberry (Lycium barbarum L.), as a kind of functional fruit, has various nutritional and bioactive components, which exhibit healthy benefits. However, wolfberry is not easy to preserve, and the intensive processing of wolfberry needs to be develop
Externí odkaz:
https://doaj.org/article/50e59a60d56a4461ac1d7805ed5b3305
Autor:
Ting Xia, Wenhui Duan, Yuxuan Zhao, Yu Zheng, Junwei Yu, Beibei Geng, Min Wang, Zhujun Zhang, Shaopeng Li
Publikováno v:
Food research international (Ottawa, Ont.). 140
Zhenjiang aromatic vinegar (ZAV), a traditional fermented food in China, is rich in polyphenols with health-beneficial effects. In this study, vinegar extract ameliorated ethanol-induced liver injury by reducing the levels of oxidative stress biomark
Publikováno v:
Genome Announcements
Lysinibacillus fusiformis SW-B9 was the first reported strain in L. fusiformis showing effective biotransformation of isoeugenol to vanillin. Here, we report the annotated genome of strain SW-B9, which has special pathways for producing vanillin. The
Autor:
Sheng Xu, Beibei Geng, Li Nie, Yongchao Liang, Wenbiao Shen, Rong-Zhan Guan, Ze-Yu Cao, Wei Xuan
Publikováno v:
Journal of Experimental Botany
In this report, a rapeseed (Brassica napus) haem oxygenase-1 gene BnHO1 was cloned and sequenced. It shared high homology with Arabidopsis HY1 proteins, and encodes a 32.6 kDa protein with a 54-amino-acid transit peptide, predicting the mature protei