Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Ting-Xin Wang"'
Autor:
Ying-Ming Chu, Ting-Xin Wang, Xiao-Fen Jia, Yao Yang, Zong-Ming Shi, Guang-Hui Cui, Qiu-Yue Huang, Hui Ye, Xue-Zhi Zhang
Publikováno v:
Frontiers in Pharmacology, Vol 13 (2022)
Graphical Abstract
Externí odkaz:
https://doaj.org/article/527892e33a07449ba3c399137dd2e6ef
Autor:
Ying-Ming Chu, Qiu-Yue Huang, Ting-Xin Wang, Nan Yang, Xiao-Fen Jia, Zong-Ming Shi, Hui Ye, Xue-Zhi Zhang
Publikováno v:
Traditional Medicine Research; Jul2023, Vol. 8 Issue 7, p1-12, 12p
Autor:
Qiu-Yue Huang, Ying-Ming Chu, Ting-Xin Wang, Nan Yang, Xiao-Fen Jia, Zong-Ming Shi, Hui Ye, Xue-Zhi Zhang
Publikováno v:
Traditional Medicine Research. 8:40
Publikováno v:
Advanced Materials Research. :160-163
To establish HPLC fingerprint of ZheRong Radix pseudostellariae and the evidence was provided for quality control and identification of the Chinese crude drug. The HPLC method was used,chromatography conditions were Agilent Eclipse XDB-C18( 4. 6 mm
Publikováno v:
Advanced Materials Research. :1810-1813
In order to reduce the quality safty risk of liquor from the source, the biological,chemical and physical hazards of the raw materials and accessories of the cereal liquor was analyzed, the internal traceability system with raw materials and accessor
Publikováno v:
Advanced Materials Research. :826-829
Based on the method of high performance liquid chromatography - diode array detector (HPLC - DAD) ,this experiment rapidly detected rhodamine B of Chinese wolfberry from market sale. Rhodamine B in the samples was dissolved by hexane.And after it was
Publikováno v:
Advanced Materials Research. :834-837
To protect geographical indication products,ZheRong radix pseudostellariae was collected at the 31 village of ZheRong County eight villages and towns in fujian province. A HPLC chromatographic fingerprint of the ethyl acetate extracts was developed.A
Publikováno v:
ICMLC
In this work, a total of twenty nine rice samples, including nineteen Xiang-shui rice samples and ten non-Xiang-shui rice samples, were employed to establish discrimination models used back propagation artificial neural networks (BP-ANN) and least sq