Analysis of chemical markers in sulfur-fumigated Anemarrhenae Rhizoma / 中国中药杂志

Sulfur-containing Anemarrhenae Rhizoma decoction pieces were prepared by using sulfur-fumigating procedure. The difference components before and after sulfur fumigation in Anemarrhenae Rhizoma were analyzed and on-line identified by UPLC-Q-TOF-MSE combined with UNIFI informatics platform, principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) respectively. As a result, 16 major differences components were identified, and among them, 9 components were mainly from sulfur-fumigated samples. The main chemical markers in sulfur-fumigated Anemarrhenae Rhizoma were identified as the sulfite derivatives newly produced after sulfur-fumigating. Meanwhile, UPLC-Q-TOF-MSE was used to find the main chemical marker anemarrhena saponin BⅡ sulfite (m/z 983). By using this method, a rapid screening method for sulfur-fumigated Anemarrhenae Rhizoma was established. This was a convenient and accurate detection method for sulfur dioxide residue, and it can be used as an effective assistant method to control the quality of Anemarrhenae Rhizoma. At the same time, it was the first time to identify sulfited derivatives of steroidal saponins, and screen the sulfur-fumigated Anemarrhenae Rhizoma.

Identification of Sulfur Fumigated Chrysanthemi Flos with Electronic Nose Technology / 世界科学技术-中医药现代化

This study was aimed to identify Chrysanthemi Flosbefore and after sulfur fumigation based on its different odour by the electronic nose technology.It was expected to explore a new method for the Chrysanthemi Flos identification according to the odour.The electronic nose technology was used in the detection of peak response values of Chrysanthemi Flos on sensor array.The principal component analysis (PCA) and 10 machine learning (ML) ways were used in the analysis of response values and establishment of optimized identification models.The results showed that there was a significant difference in the odour between sulfur fumigated Chrysanthemi Flos and non-sulfur fumigated ones.The identification models were successful with high correct judge rate by PCA and 6 ML ways including BF Tree,J48 and Random Tree.It was concluded that the electronic nose technology can be used for the accurate identification of sulfur fumigated Chrysanthemi Flos and non-sulfur fumigated ones.The electronic nose technology combined with multiple ML methods can be introduced in the quality evaluation of Chrysanthemi Flos.It provided more ideas for the application of electronic nose in data mining for traditional Chinese medicine (TCM) studies.