Multiple component quantitative analysis for the pattern recognition and quality evaluation of Kalopanacis Cortex using HPLC.

A quantitative and pattern recognition analyses were conducted for quality evaluation of Kalopanacis Cortex (KC) using HPLC. For quantitative analysis, four bioactive compounds, liriodendrin, pinoresinol O-β-D-glucopyranoside, acanthoside B and kalopanaxin B, were determined. The analysis method was optimized and validated using ODS column with mobile phase of methanol and aqueous phosphoric acid. The validation gave acceptable linearities (r > 0.9995), recoveries (98.4% to 101.9%) and precisions (RSD < 2.20). The limit of detection of compounds ranged from 0.4 to 0.9 μg/mL. Among the four compounds, liriodendrin was recommended as a marker compound for the quality control of KC. The pattern analysis was successfully carried out by analyzing thirty two samples from four species, and the authentic KC samples were completely discriminated from other inauthentic species by linear discriminant analysis. The results indicated that the method was suitable for the quantitative analysis of liriodendrin and the quality evaluation of KC.

Citation

Chu Van Men, Yu Seon Jang, Kwan Jun Lee, Jae Hyun Lee, Tran Hong Quang, Nguyen Van Long, Hoang Van Luong, Young Ho Kim, Jong Seong Kang. Multiple component quantitative analysis for the pattern recognition and quality evaluation of Kalopanacis Cortex using HPLC. Archives of pharmacal research. 2011 Dec;34(12):2065-71

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PMID: 22210032

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