Quality Evaluation of Pterospermum heterophyllum Based on Fingerprint Combined with Chemical Pattern Recognition
OBJECTIVE To use fingerprint combined with hierarchical clustering analysis(HCA),principal component analysis(PCA)and orthogonal partial least squares discriminant analysis(OPLS-DA)to identify chemical patterns.METHODS Chrom Core 120 C18(4.6 mm ×250 mm,5μm)chromatographic column,0.1％phosphoric acid aqueous solution(A)-acetonitrile(B)as mobile phase for gradient elution,volume flow rate of 0.8 mL·min-1,detection wavelength of 280 nm,column temperature of 30 ℃injection volume of 10 μL,HPLC method was used to establish the fingerprints of 30 batches of medicinal herbs from 12 origins,and similarity analysis,HCA,PCA and PLS-DA were used and other chemical pattern recognition technologies were used to screen and quantitatively analyze the differentially characteristic components.RESULTS The fingerprinting method established by the estab-lished fingerprint method met the methodological requirements,and 17 common peaks were indexed by HPLC fingerprint of 30 batches of Pterospermum chinensis,with a similarity of 0.863-0.975.HCA,PCA and PLS-DA were used to distinguish the PH from different origins,and combined with the previous experiments,three components,protocatechuic acid,proanthocyanidins B2 and epicatechins,were comprehensively analyzed and screened as the active ingredients of the PH,and the content ranges were 0.103-1.676,0.141-5.556 and 0.144-3.381 mg·g-1,respectively.CONCLUSION The fingerprint of the medicinal materials and the determination of the contents of the three active ingredients established in this study are stable,reliable and reproducible,which provides a certain scientific basis for evaluating the quality of Pterospermum heterophyllum.
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