Comprehensive quality evaluation of the lateral root of Aconitum carmichaelii Debx. (Fuzi): Simultaneous determination of nine alkaloids and chemical fingerprinting coupled with chemometric analysis

色谱法 化学计量学 化学 乌头 乌头碱 生物碱 立体化学
作者
Chun-Mei Luo,Fanli Yi,Yanli Xia,Zhifang Huang,Xianjian Zhou,Xiaojun Jin,Yina Tang,Jinhai Yi
出处
期刊:Journal of Separation Science [Wiley]
被引量:13
标识
DOI:10.1002/jssc.201800937
摘要

Amino alcohol alkaloids are the active components in the lateral root of Aconitum carmichaelii Debx. (Fuzi), and they have a variety of pharmacological activities. However, the chemical fingerprints of the ester alkaloids reported to date were mainly obtained from high-performance liquid chromatography coupled with ultraviolet detection, and it is difficult to obtain information about amino alcohol alkaloids in Fuzi from such chromatograms. In this paper, a comprehensive fingerprinting method was established using high-performance liquid chromatography coupled with an evaporative light-scattering detector for the simultaneous quantitative analysis of both the amino alcohol alkaloids and ester alkaloids. A total of 42 samples of Fuzi from four production areas were analyzed by constructing high-performance liquid chromatography fingerprints. Then, the quantitative results of the chemical fingerprints combined with chemometrics methods were employed to reveal the factors affecting the geo-authentic Fuzi and to determine characteristic components that can be used to identify these samples. The results indicated distinct differences in the alkaloid contents among samples from the four regions; the geographical origin may be the primary factor affecting the geo-authentic Fuzi, and 15 major components (including songorine, neoline, and hypaconitine, which were quantitatively determined) were found to be characteristic components for the discrimination of Fuzi samples from various regions. Neoline might be a critical component for identifying geo-authentic Fuzi. This approach is convenient, reproducible and provides a promising method for the quality evaluation of Fuzi.
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