Identification of Citri Sarcodactylis Fructus and Citri Fructus based on HPLC fingerprint coupled with multivariate data analysis
OBJECTIVE To investigate the feasibility of performing identification of Citri Sarcodactylis Fructus(CSF)and Citri Fructus(CF)based on high performance liquid chromatography(HPLC)fingerprint coupled with multivariate data analysis.METHODS HPLC method was applied to establish the fingerprints of CSF and CF.Similarity evaluation of 12 batches of CSF samples and 10 batches of CF samples was performed by Traditional Chinese Medicine Chromatographic Fingerprint Similarity Evaluation System(2004A edition).Hierarchical cluster analysis(HCA),principal component analysis(PCA)and orthogonal partial least squares-discriminant analysis(OPLS-DA)were used for data analysis.RESULTS HPLC fingerprints of CSF and CF were established,respectively.The fingerprint similarities of CSF samples,as well as the fingerprint similarities of CF samples,were all greater than 0.9.The similarities between the fingerprints of CSF samples and the control fingerprint of CF,as well as the similarities between the fingerprints of CF samples and the control fingerprint of CSF,were all less than 0.9,which indicated significant differences in chemical composition between CSF and CF.The total 22 samples were divided into two groups by HCA,PCA and OPLS-DA,which was consistent with the two varieties.Three differential markers were screened by OPLS-DA and two of them were identified as 5,7-dimethoxycoumarin and hesperidin by reference substances.The statistical analysis indicated that the ratio of absolute peak area(APA)of hesperidin and 5,7-dimethoxycoumarin can distinguish CSF and CF from each other simply and accurately.CONCLUSION HPLC fingerprint coupled with multivariate data analysis can be used to identify CSF and CF.
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