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Chemical pattern recognition of YuanZhi San capsule based on FTIR and HPLC analysis / 国际药学研究杂志
Journal of International Pharmaceutical Research ; (6): 456-462, 2020.
Article in Chinese | WPRIM | ID: wpr-845172
ABSTRACT

Objective:

To provide a scientific basis for the quality control of YuanZhi San capsule(YZSC).

Methods:

Fourier transform infrared spectroscopy(FTIR)combined with second derivative spectra was used to analyze the chemical components of YZSC;high performance liquid chromatography(HPLC)was used to establish the fingerprints of different batches of YZSC, the quality assessment of YZSC was carried out by similarity evaluation, cluster analysis(CA), principal component analysis(PCA)and orthogonal partial least squares discriminant analysis(OPLS-DA).

Results:

The main components of YZSC were carbohydrate, flavonoids, alkaloids, organic acids and saponins. There were 41 common peaks in the fingerprint, seven peaks were identified using reference substance, they were 3, 6'-disinapoylsucrose, ferulic acid, jatrorrhizine hydrochloride, palmatine chloride, berberine, quercetin and β-asarone. The similarity of 10 batches of samples was higher than 0.99. The CA and PCA analysis indicated that there were differences in different batches of YZSC, and they were mainly divided into two categories. By the OPLS-DA, 10 main chemical constituents were found to be the cause of the quality differences in the batches, and the peaks of berberine, 3, 6'-disinapoylsucrose, palmatine chloride, β-asarone, and jatrorrhizine hydrochloride were recognized by comparison with the reference substances.

Conclusion:

The chemical pattern recognition technology based on the FTIR and HPLC analysis might be used for the quality evaluation of YZSC.

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Journal of International Pharmaceutical Research Year: 2020 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Journal of International Pharmaceutical Research Year: 2020 Type: Article