Quality control of Portulaca oleracea by HPLC fingerprint combined with quantitative analysis of multi-components by single-marker
- VernacularTitle:HPLC指纹图谱结合一测多评法控制马齿苋药材质量
- Author:
Jiajia WANG
1
;
Xi LI
1
,
2
;
Jian’an FENG
2
;
Guanhua LOU
2
;
Shiyun CHEN
2
;
Yan HUANG
2
;
Xuelian PI
2
;
Chang LIU
2
;
Ying LI
2
Author Information
1. School of Pharmacy，Chengdu University of Chinese Medicine，Chengdu 611137，China
2. Institute of Traditional Chinese Medicine，Sichuan Academy of Chinese Medicine Sciences，Chengdu 610031，China
- Publication Type:Journal Article
- Keywords:
Portulaca oleracea;
quality control;
high-performance liquid chromatography;
fingerprint;
quantitative analysis of
- From:
China Pharmacy
2023;34(9):1081-1085
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE To establish HPLC fingerprint of Portulaca oleracea， establish quantitative analysis of multi- components by single-marker （QAMS） method for the content determination of caffeic acid， ferulic acid， genistin and quercetin， and provide reference for quality control of the medicine. METHODS The determination was performed on Eclipse XDB-C18 column with mobile phase consisted of methanol-0.2% phosphoric acid solution （gradient elution） at the flow rate of 1.0 mL/min. The column temperature was 25 °C， and detection wavelength was set at 360 nm. The sample size was 10 μL. HPLC fingerprint of P. oleracea was established according to the above chromatographic conditions. Cluster analysis （CA） and principal component analysis （PCA） were performed for 15 batches of specimens. Using caffeic acid as internal standard， relative correction factors of other three components were calculated by QAMS， and then the component content was calculated on the basis of relative correction factors， which was compared with the external standard method. RESULTS HPLC fingerprints of 15 batches of P. oleracea were calibrated with a total of 17 common peaks， and 4 components （caffeic acid， ferulic acid， genistin， quercetin） were identified； the similarities of 15 batches of samples were greater than 0.890. The results of CA showed that S1-S10 were clustered into one category， and S11-S15 were clustered into one category. The results of PCA revealed that the accumulative contribution rate of the two main components was 92.502%， and the classification results were basically consistent with CA. The linear range of caffeic acid， ferulic acid， genistin and quercetin were 0.003 1-0.157 1， 0.003 6-0.181 7， 0.008 5-0.425 6，0.000 4-0.021 8 mg/mL （R2≥0.999 7）； the results of precision， repeatability， stability （24 h） and recovery tests all complied with the requirements of Chinese Pharmacopoeia. The relative correction factors of ferulic acid， genistin and quercetin calculated by QAMS were 1.534， 5.302 and 0.174； there was no significant difference in the contents of components measured between this method and the external standard method. CONCLUSIONS The established HPLC fingerprint combined with QAMS can be used for the quality control of multiple index components in P. oleracea. The origin has a certain influence on the quality of P. oleracea， and the quality of P. oleracea produced in Sichuan is better than that produced in Anhui and Hebei.
