Quality evaluation of Dalbergiae Odoriferae Lignum by HPLC fingerprint and multi-component quantitative analysis.
10.19540/j.cnki.cjcmm.20210319.301
- Author:
Rong-Hua LIU
1
;
Qian-Qian YIN
1
;
Xiao-Wei MENG
1
;
Qing ZHU
1
;
Yang LIU
1
;
Hong-Hua YU
1
;
Li-Hua LIN
1
;
Feng SHAO
1
;
Lan-Ying CHEN
1
Author Information
1. School of Pharmacy, Jiangxi University of Chinese Medicine Nanchang 330004, China.
- Publication Type:Journal Article
- Keywords:
Dalbergiae Odoriferae Lignum;
content determination;
fingerprint;
pattern recognition;
quality evaluation
- MeSH:
Chromatography, High Pressure Liquid/methods*;
Drugs, Chinese Herbal/analysis*;
Flavonoids/analysis*;
Quality Control;
Reproducibility of Results
- From:
China Journal of Chinese Materia Medica
2022;47(4):959-966
- CountryChina
- Language:Chinese
-
Abstract:
The present study detected the component content in Dalbergiae Odoriferae Lignum by HPLC fingerprint and the multi-component determination method. HPLC analysis was performed on the Agilent ZORBAX SB-C_(18) column(4.6 mm×250 mm, 5 μm). Acetonitrile-0.5% phosphoric acid aqueous solution with gradient elution was employed as the mobile phase. The flow rate was 1.0 mL·min~(-1) and the column temperature was maintained at 30 ℃. The detection wavelength was 210 nm and the sample volume was 10 μL. The similarity of 18 batches of Dalbergiae Odoriferae Lignum was 0.343-0.779, indicating that there were great differences between different batches of Dalbergiae Odoriferae Lignum. Eighteen common peaks were identified, including eight flavonoids such as liquiritigenin and latifolin. The mass fractions of liquiritigenin, luteolin, naringenin, isoliquiritigenin, formononetin, dalbergin, latifolin, and pinocembrin were in the ranges of 0.134 1%-0.495 2%, 0.028 2%-0.167 0%, 0.016 3%-0.591 3%, 0.053 5%-0.188 0%, 0.142 4%-0.640 1%, 0.068 0%-0.590 7%, 0.003 2%-1.980 7%, and 0.009 6%-0.740 2%, respectively. Eighteen batches of Dalbergiae Odoriferae Lignum were divided into three categories by cluster analysis and eight differential components in Dalbergiae Odoriferae Lignum were marked by partial least-squares discriminant analysis(PLS-DA). The cumulative variance contribution rate was 90.5%. The HPLC fingerprint combined with the multi-component determination method for Dalbergiae Odoriferae Lignum is easy in operation and accurate in results, with good repeatability and reliability. The quality of Dalbergiae Odoriferae Lignum can be evaluated and analyzed by the PLS-DA model. This study is expected to provide a reference for the quality control and clinical application of Dalbergiae Odoriferae Lignum.
