WANG Jiajia,LI Xi,FENG Jian’an,et al.Quality control of Portulaca oleracea by HPLC fingerprint combined with quantitative analysis of multi-components by single-marker[J].ZHONGGUO YAOFANG,2023,34(09):1081-1085.
WANG Jiajia,LI Xi,FENG Jian’an,et al.Quality control of Portulaca oleracea by HPLC fingerprint combined with quantitative analysis of multi-components by single-marker[J].ZHONGGUO YAOFANG,2023,34(09):1081-1085. DOI: 10.6039/j.issn.1001-0408.2023.09.11.
Quality control of Portulaca oleracea by HPLC fingerprint combined with quantitative analysis of multi-components by single-marker
, 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
2
The determination was performed on Eclipse XDB-C
18
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
2
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(
R
2
≥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
2
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.
关键词
马齿苋质量控制高效液相色谱法指纹图谱一测多评法咖啡酸阿魏酸染料木苷槲皮素
Keywords
quality controlhigh-performance liquid chromatographyfingerprintquantitative analysis of multi-components by single-markercaffeic acidferulic acidgenistinquercetin