Qualitative and quantitative analysis of chemical constituents in Ardisiae Japonicae Herba
文献类型： 外文期刊
作者： Yu, Ke-Yun 1 ; Gao, Wen 2 ; Li, Shang-Zhen 1 ; Wu, Wei 3 ; Li, Pei 1 ; Dou, Li-Li 1 ; Wang, Yuan-Zhong 4 ; Liu, E-Hu 1 ;
作者机构： 1.China Pharmaceut Univ, State Key Lab Nat Med, 24 Tongjia Lane, Nanjing 210009, Jiangsu, Peoples R China
2.Shineway Pharmaceut Grp Co Ltd, Shijiazhuang, Hebei, Peoples R China
3.Guilin Med Univ, Coll Pharm, Guilin, Peoples R China
4.Yunnan Acad Agr Sci, Inst Med Plants, Kunming, Yunnan, Peoples R China
关键词： Ardisiae Japonicae Herba;chemical constituents;quality control;traditional Chinese medicine
期刊名称：JOURNAL OF SEPARATION SCIENCE （ 影响因子：3.645； 五年影响因子：2.943 ）
ISSN： 1615-9306
年卷期： 2017 年 40 卷 22 期
页码：
收录情况： SCI
摘要： Ardisiae Japonicae Herba is a well-known traditional Chinese medicine for the treatment of bronchitis conjunctivitis, pneumonia, and trauma. In this work, a high-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry method was first established for the separation and structural identification of the chemical constituents in Ardisiae Japonicae Herba. A total of 15 compounds including coumarins, flavonoid glycosides, and catechins were identified or tentatively characterized based on their chromatographic behaviors and mass spectral fragmentation and by comparisons with the reference standards. Furthermore, a simple high-performance liquid chromatography with diode array detection method was developed for the simultaneous determination of five major constituents. Results obtained from method validation, including linearity, precision, repeatability, stability, and recovery, showed that the established method was reliable and accurate. Bergenin and quercitrin were found to be the most abundant constituents and could be served as chemical markers for quality control of Ardisiae Japonicae Herba.
- 相关文献
作者其他论文 更多>>
-
Suitable habitat prediction and identification of origin of Lanxangia tsao-ko
作者：He, Gang;Yang, Shao-bing;Wang, Yuan-zhong;He, Gang
关键词：Medicinal plant; FT-NIR spectroscopy; Machine learning; Suitable habitats; Origin identification
-
Applications of chemical fingerprints and machine learning in plant ecology: Recent progress and future perspectives
作者：Zhong, Chen;Wang, Yuan-Zhong;Zhong, Chen;Li, Li
关键词：Chemical fingerprints; Chemometrics; Plant ecology; Analytical techniques; Machine learning algorithms
-
A rapid method for identification of Lanxangia tsaoko origin and fruit shape: FT-NIR combined with chemometrics and image recognition
作者：He, Gang;Yang, Shao-bing;Wang, Yuan-zhong;He, Gang;Yang, Shao-bing;Wang, Yuan-zhong
关键词：chemometrics; classification; Fourier transform-near infrared spectroscopy; image recognition; Lanxangia tsaoko
-
Analysis of Chemical Changes during Maturation of Amomum tsao-ko Based on GC-MS, FT-NIR, and FT-MIR
作者：He, Gang;Yang, Shao-bing;Wang, Yuan-zhong;He, Gang
关键词：
-
FT-IR spectroscopy coupled with HPLC for qualitative and quantitative analysis of different parts of Gentiana rigescens Franch
作者：He, Gang;Zhu, Xin-yan;Wang, Yuan-zhong;He, Gang;Shen, Tao
关键词：Gentiana rigescens; Total secoiridoids; FT-IR; HPLC; Content prediction
-
The potential of Amomum tsao-ko as a traditional Chinese medicine: Traditional clinical applications, phytochemistry and pharmacological properties
作者：He, Gang;Yang, Shao-bing;Wang, Yuan-zhong;He, Gang
关键词：Amomum tsao-ko; Chinese herbal medicine; Chemical compounds; Physiological characteristics; Review
-
An integrated chemical characterization based on FT-NIR, and GC-MS for the comparative metabolite profiling of 3 species of the genus Amomum
作者：He, Gang;Yang, Shao-bing;Wang, Yuan-zhong;He, Gang
关键词：Genus Amomum; Quality markers; Identification research; Network pharmacology; Deep learning
