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Principal component cluster analysis for Citrus medica var.sarcodactylia fruits and fingerprint identification of medicinal plants in Citrus L

Authors Cui Honghua; Guo Jiao; Gao Youheng; Shen Zhibin; Chen Chao

Journal Chinese Traditional and Herbal Drugs , JUL 15 2018,:221

DOI 10.1016/j.jep.2018.04.025 PubMed 29679725

Abstract Objective To compare the affiliation of Citrus grandis var.tomentosa fruits and C.reticulata, and establish HPLC fingerprint. Methods C.medica var.sarcodactylia fruits and three medicinal plants in Citrus L.were measured by HPLC method, which can be used to carry out principal component analysis and cluster analysis of the pre-classification of medicinal raw materials, and develope an initial method of selection. Results The HPLC chromatographic peaks of C.medica var.sarcodactylia and its adulterants were determined so as to obtain HPLC fingerprint comparison on C.medica var.sarcodactylis fruits and its adulterants from 17 different habitats. The similarity between them showed a good description of chemical distribution in this plant and stable proportion. By using the SPSS analysis software and Euclidean distance cluster analysis, sample clustering results were satisfactory. Nineteen samples can be clustered into eight categories, namely 1,7-10, and 15 samples in a class, the samples 2 and 3 in a class, samples 4,14,16, and 17 in a class, samples 5,6, and 11 are in a class, the samples 12 and 13 alone in a class, adulterants C.grandis var.tomentosa(sample 18) and C.reticulata(sample 19) left alone in a class, respectively. So it can be more obvious distinction between samples of C.medica var.sarcodatylia fruits. Conclusion The Chinese materia medica(CMM) fingerprint of C.medica var.sarcodatylia fruits and three medicinal plants in Citrus L.is combined with cluster analysis of principal components to enrich the content of CMM theory of identification

Species covered 柚 Citrus maxima 香橼 Citrus medica