Comprehensive quality evaluation of Codonopsis Radix using HPLC fingerprinting, quantitative analysis, and chemometrics analysis

Codonopsis Radix (CR), a traditional Chinese medicine with significant medicinal value, has been widely used for many years. In this study, a comprehensive quality evaluation system for CR from different regions was established using high-performance liquid chromatography (HPLC). First, the optimal extraction conditions for two glycoside components from CR were determined through response surface methodology, with the following parameters: a methanol ratio of 80%, an extraction time of 35 min, and a liquid-to-solid ratio of 50 : 1. This optimized extraction method was applied to both fingerprinting and quantitative analysis. In the quantitative analysis, the calibration curves exhibited excellent linearity (<i>R</i><sup>2</sup> ≥ 0.9998) within the tested range, and the mean recoveries ranged from 99.46% to 101.51%. A common fingerprint, consisting of 13 characteristic peaks, was established for CR samples from different production areas in China. HPLC-DAD-ESI-MS/MS was used to further identify the common peaks in the fingerprint. Various chemometrics analyses, including similarity analysis (SA), hierarchical cluster analysis (HCA), principal component analysis (PCA), and orthogonal partial least squares discriminant analysis (OPLS-DA), were employed to classify the samples. Among these methods, OPLS-DA was particularly effective in distinguishing CR samples of different plant sources. The results demonstrate that the established method is effective for the comprehensive quality evaluation of CR, providing a reliable approach for its quality control and standardization.

Authors

Institutions

Publication Details

Journal
Analytical Methods
Published
2025-01-01
DOI
https://doi.org/10.1039/d5ay00471c
Primary Topic
Phytochemistry and Biological Activities
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comprehensive quality evaluation of Codonopsis Radix using HPLC fingerprinting, quantitative analysis, and chemometrics analysis

Rulan Jiang, Xinjun Xu, Huimin Wu, Mingzhu Gong et al.
Analytical Methods
Phytochemistry and Biological Activities
article

Comprehensive quality evaluation of Codonopsis Radix using HPLC fingerprinting, quantitative analysis, and chemometrics analysis

Rulan Jiang, Xinjun Xu, Huimin Wu, Mingzhu Gong, Wenli Chen, Jieyu Lei
article en

Abstract

Codonopsis Radix (CR), a traditional Chinese medicine with significant medicinal value, has been widely used for many years. In this study, a comprehensive quality evaluation system for CR from different regions was established using high-performance liquid chromatography (HPLC). First, the optimal extraction conditions for two glycoside components from CR were determined through response surface methodology, with the following parameters: a methanol ratio of 80%, an extraction time of 35 min, and a liquid-to-solid ratio of 50 : 1. This optimized extraction method was applied to both fingerprinting and quantitative analysis. In the quantitative analysis, the calibration curves exhibited excellent linearity (<i>R</i><sup>2</sup> ≥ 0.9998) within the tested range, and the mean recoveries ranged from 99.46% to 101.51%. A common fingerprint, consisting of 13 characteristic peaks, was established for CR samples from different production areas in China. HPLC-DAD-ESI-MS/MS was used to further identify the common peaks in the fingerprint. Various chemometrics analyses, including similarity analysis (SA), hierarchical cluster analysis (HCA), principal component analysis (PCA), and orthogonal partial least squares discriminant analysis (OPLS-DA), were employed to classify the samples. Among these methods, OPLS-DA was particularly effective in distinguishing CR samples of different plant sources. The results demonstrate that the established method is effective for the comprehensive quality evaluation of CR, providing a reliable approach for its quality control and standardization.

Analytical MethodsVol. 17(30)
Sun Yat-sen University (CN), Fifth Affiliated Hospital of Sun Yat-sen University (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 87%
Phytochemistry and Biological Activities
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.