According to the UPLC
fingerprint spectrum detection method for the stone-eliminating and
gallbladder-benefiting
traditional Chinese medicine composition, a chemical mode recognition method is combined, 12 common peaks are calibrated in total, 8 common peaks are identified through a chemical reference substance, the similarity of 15 batches of stone-eliminating and
gallbladder-benefiting
traditional Chinese medicine composition fingerprints is 0.932 or above, and through analysis of HCA, PCA, OPLS-DA and the like and
verification of a neural
network model, the similarity of the
fingerprint spectrums of the stone-eliminating and
gallbladder-benefiting
traditional Chinese medicine composition fingerprints is determined. 15 batches of stone-eliminating and gallbladder-benefiting traditional Chinese
medicine composition samples are divided into 3 classes, and 7 main chemical markers which may cause
mass difference are screened out, namely chromatographic peaks 2 and 6 (
baicalin), chromatographic peaks 4, chromatographic peaks 8, chromatographic peaks 7, chromatographic peaks 9 (rhein) and chromatographic peaks 5 (
hesperidin). The
fingerprint detection method has the advantages of simplicity, feasibility, short detection time (about 25 minutes), good stability and good
repeatability, can evaluate the inherent quality of the stone-eliminating and gallbladder-benefiting traditional Chinese
medicine composition, further guarantees the stability of the inherent quality of the product, and provides a reference basis.