Quality Evaluation of Aurantii Fructus Based on Fingerprint Qualitative Analysis， Multi-component Quantitative Analysis and Chemometrics
10.13422/j.cnki.syfjx.20211946
- VernacularTitle:基于指纹图谱定性、多指标成分定量与化学计量学的枳壳质量评价
- Author:
Min-yong ZHONG
1
;
Ri-fa QIAO
1
;
Tao LUO
2
;
Lin YANG
1
;
Wu-liang YANG
1
;
Jin-bin YUAN
1
Author Information
1. Key Laboratory of Modern Preparation of Traditional Chinese Medicine，Ministry of Education， Jiangxi University of Chinese Medicine，Nanchang 330004，China
2. The First Affiliated Hospital of Nanchang University，Nanchang 330006，China
- Publication Type:Journal Article
- Keywords:
Aurantii Fructus;
quality evaluation;
high performance liquid chromatography （HPLC） fingerprint;
cluster analysis;
principal component analysis;
production area;
origin
- From:
Chinese Journal of Experimental Traditional Medical Formulae
2022;28(4):138-145
- CountryChina
- Language:Chinese
-
Abstract:
ObjectiveTo establish an integrated method of fingerprint qualitative， multi-component quantitative analysis and chemometrics， and to evaluate the quality attributes and differences of Aurantii Fructus from different production areas and origins. MethodAnalysis was performed on COSMOSIL 5C18-MS-Ⅱ column （4.6 mm×250 mm， 5 μm） with the mobile phase of acetonitrile-0.2% phosphoric acid solution for gradient elution （0-4 min， 19%A； 4-5 min， 19%-21%A； 5-18 min， 21%A； 18-19 min， 21%-28%A； 19-27 min， 28%A； 27-28 min， 28%-40%A； 28-36 min， 40%A； 36-37 min， 40%-50%A； 37-42 min， 50%-60%A； 42-46 min， 60%-95%A； 46-55 min， 95%-100%A）， the flow rate was 1 mL·min-1， the column temperature was 30 ℃， the detection wavelength was set at 320 nm， and the injection volume was 10 μL. High performance liquid chromatography （HPLC） fingerprints of Aurantii Fructus from different production areas and origins were established. Then， the quality of 26 batches of samples was evaluated by cluster analysis （CA）， principal component analysis （PCA） and orthogonal partial least squares discriminant analysis （OPLS-DA）. A method for the determination of 12 components was developed and verified， and a thermal map-based CA of Aurantii Fructus from different production areas and origins was carried out based on the content difference of samples. ResultThe fingerprint and determination methods were well verified. The similarity of HPLC fingerprint of 12 batches of Aurantii Fructus was 0.85-0.996， 20 common peaks were calibrated and 14 of them were assigned. The resolution and linear relationship of 12 components in quantitative analysis were good. The recovery rates were 99.2%-101.0% with RSD≤2.0%. The results of CA， PCA and OPLS-DA indicated that the differentiation of Aurantii Fructus in different production areas was great， and there were differences among different cultivars. ConclusionThe qualitative analysis of fingerprint and quantitative analysis of multiple indexes based on the same chromatographic analysis conditions are convenient， accurate and reliable， and combined with chemometrics， the identification and quality analysis of Aurantii Fructus from different production areas and origins can be realized， which can provide reference for quality control and evaluation of Aurantii Fructus.
