Digital identification and adulteration analysis of Pulsatilla Radix and Pulsatilla Cernua based on "digital identity" and UHPLC-QTOF-MS E .

Autor: Rui Wang X; Institute for Control of Traditional Chinese Medicine and Ethnic Medicine, National Institutes for Food and Drug Control, Beijing 102629, P. R. China., Ting Zhang J; Institute for Control of Traditional Chinese Medicine and Ethnic Medicine, National Institutes for Food and Drug Control, Beijing 102629, P. R. China., Guang Jing W; Institute for Control of Traditional Chinese Medicine and Ethnic Medicine, National Institutes for Food and Drug Control, Beijing 102629, P. R. China., Hua Li M; Institute for Control of Traditional Chinese Medicine and Ethnic Medicine, National Institutes for Food and Drug Control, Beijing 102629, P. R. China., Han Guo X; Institute for Control of Traditional Chinese Medicine and Ethnic Medicine, National Institutes for Food and Drug Control, Beijing 102629, P. R. China., Long Cheng X; Institute for Control of Traditional Chinese Medicine and Ethnic Medicine, National Institutes for Food and Drug Control, Beijing 102629, P. R. China. Electronic address: cxl@nifdc.org.cn., Wei F; Institute for Control of Traditional Chinese Medicine and Ethnic Medicine, National Institutes for Food and Drug Control, Beijing 102629, P. R. China. Electronic address: weifeng@nifdc.org.cn.
Jazyk: angličtina
Zdroj: Journal of chromatography. B, Analytical technologies in the biomedical and life sciences [J Chromatogr B Analyt Technol Biomed Life Sci] 2024 Aug 15; Vol. 1244, pp. 124257. Date of Electronic Publication: 2024 Jul 29.
DOI: 10.1016/j.jchromb.2024.124257
Abstrakt: Under the background of digitalization of traditional Chinese medicine (TCM), to realize the quick identification and adulteration analysis of Pulsatilla Radix (PR), adhering to digital conviction, this study conducted UHPLC-QTOF-MS E analysis on PR and its adulterant-Pulsatilla Cernua (PC) from different batches and based on digital conversion, the shared ions were extracted from different batches of PR and PC as their "ions representation", respectively. Further, the data set of unique ions of PR relative to PC and PC relative to PR were screened out as the "digital identities" of PR and PC respectively. Further, above the "digital identities" of PR and PC were used as the benchmarks for matching and identifying to feedback give a matching credibility (MC). The results showed that based on the "digital identities" of PR and PC, the digital identification of two herbal samples can be realized efficiently and accurately at the individual level with the MC≥70.00 %, even if 5 % of PC in the mixed samples can still be identified efficiently and accurately. The study is of great practical significance for improving the identification efficiency of PR and PC, cracking down on adulterated and counterfeit drugs, and strengthening the quality control of PR. In addition, it has important reference significance for developing non-targeted digital identification of herbal medicines at the individual level based on UHPLC-QTOF-MS E and the "digital identity", which was beneficial to the construction of digital Chinese medicine and digital quality control.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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Databáze: MEDLINE