化学
绿原酸
阿魏酸
欧前胡素
指纹(计算)
色谱法
化学计量学
橙皮苷
天麻素
高效液相色谱法
人工智能
计算机科学
医学
替代医学
病理
作者
Siqi Wang,Ting Yang,Ping Guo,Lili Lan,Guoxiang Sun
标识
DOI:10.1016/j.jpba.2024.116008
摘要
Tianma Toutong Tablets (TMTTTs) are composed of six traditional Chinese medicines (TCMs), and there is currently no comprehensive method to evaluate the quality of TMTTT. To ensure its quality, it is necessary to propose methods for evaluation and control. To address the issue, we established an HPLC and electrochemical fingerprint of TMTTT and quantify eight components—Gastrodin, p-hydroxybenzyl alcohol, chlorogenic acid, parishin A, ferulic acid, hesperidin, imperatorin, and isoimperatorin. We used the Sub-quantified profiling method (SQPM) to calculate the actual contribution value of each individual herb and evaluated and predicted the quality of the compound medication. In addition, electrochemical fingerprinting (ECFP) was established using a Belousov-Zhabotinsky (B-Z) oscillation system in which six characteristic electrochemical parameters were recorded to compare the differences between batches. Finally, a compound synthesizing fingerprint (CSF) of TMTTT was developed by fitting the compounds of the six herbs, the contribution of individual herbs to the prescription was evaluated. Principal component analysis (PCA) was used to downscale the data of different fingerprint profiles to assist the analysis process. The rational combination of multidimensional fingerprinting and PCA provided a comprehensive and reliable method for the evaluation of TMTTT and other TCM compound preparations, SQPM could effectively link single herbs to compound preparations, avoiding the use of non-compliant TCMs at source and improving the quality of compound preparations.
科研通智能强力驱动
Strongly Powered by AbleSci AI