Grey relational analysis on fingerprint characteristics of different eluted parts of Euphorbia humifusa and antifungal effect

Abstract

OBJECTIVE To determine the contribution of chemical components represented by characteristic peaks of fingerprint of different eluted parts of Euphorbia humifusa to the antifungal effect to provide theoretical basis and data support for the traditional Chinese medicine quality control mode. METHOD HPLC was introduced to analyze fingerprint of different eluted parts of E. humifusa. The antifungal effect was observed using NCCLS M38-A method. The correlation between fingerprint and antifungal effect of E. humifusa was identified using grey relational analysis. RESULT The antifungal effect of different eluted parts of E. humifusa is resulted from the combined action of multiple chemical components. Chemical components representing a contribution to pharmacy dynamics were ordered by representative spectrum 2 > 5 > 3 > 4 > 1 for anti-Trichophyton rubrum and anti-T. mentagrophytes 5 > 2 > 3 > 4 > 1. CONCLUSION Fingerprint of different eluted parts of E. humifusa is related with their antifungal effect to some extent.