A detection method of UPLC fingerprint spectrum of a traditional Chinese medicine composition for treating gallstones and promoting bile secretion

A fingerprint spectrum detection method for traditional Chinese medicine compositions for dissolving stones and promoting bile secretion was established by using UPLC and chemical pattern recognition technology. This method solves the problem of insufficient quality detection in existing technologies, achieves efficient and scientific quality control, and ensures the consistency and safety of the medicine.

CN120992800BActive Publication Date: 2026-06-09BAODING BUCHANG TIANHAO PHARMA +1
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Patent Information

Application Number
CN202511195954.7
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-08-26
Publication Date
2026-06-09
Estimated Expiration
2045-08-26

AI Technical Summary

Technical Problem

Existing technologies for quality testing of gallstone-dissolving and choleretic capsules are relatively limited and cannot fully control their intrinsic quality. The lack of efficient fingerprinting detection methods leads to insufficient quality control.

Method used

A fingerprint spectral detection method for traditional Chinese medicine compositions for dissolving gallstones and promoting bile secretion was established using UPLC. Combined with chemical pattern recognition, a total of 12 common peaks were identified. Through analysis of HCA, PCA and OPLS-DA, 7 major chemical markers were screened out, and a scientific quality evaluation system was established.

Benefits of technology

This method enables the intrinsic quality evaluation of traditional Chinese medicine compositions for dissolving stones and promoting bile secretion, providing a more scientific reference for quality control. It features short testing time, good repeatability, and better ensures the consistency and safety of the drugs.

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Abstract

The application provides a kind of Xiaoshi Lidan traditional Chinese medicine composition UPLC fingerprint detection method, and combines chemical pattern recognition method, 12 common peaks are calibrated, 8 common peaks are identified among them by chemical reference substance, the similarity of 15 batches of Xiaoshi Lidan traditional Chinese medicine composition fingerprint is above 0.932, through HCA, PCA and OPLS-DA etc. Analysis and verification of neural network model, 15 batches of Xiaoshi Lidan traditional Chinese medicine composition samples are divided into 3 categories, and 7 main chemical markers that may cause quality difference are screened out, which are 2, 6 (baicalin), 4, 8, 7, 9 (rhein) and 5 (hesperidin) chromatographic peaks. The fingerprint detection method has the advantages of simplicity, feasibility, short detection time (about 25 minutes), stability and good repeatability, can evaluate the internal quality of Xiaoshi Lidan traditional Chinese medicine composition, further guarantee the internal quality stability of product, and provide reference.
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