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Updated: Apr 19, 2026

HPLC Coupled with Chemical Fingerprinting for Multi-Pattern Recognition for Identifying the Authenticity of Clematidis Armandii Caulis
Published on: November 11, 2022
Fingerprint analysis and multi-ingredient determination using a single reference standard for Saposhnikoviae radix.
1National and Local United Engineering Laboratory for Key Technology of Chinese Material Medica Quality Control, Shenyang Pharmaceutical University.
A new HPLC-DAD method offers comprehensive quality control for Saposhnikoviae Radix (SR). This approach combines fingerprint analysis and multi-ingredient determination for reliable SR quality evaluation.
Area of Science:
- Pharmacognosy
- Analytical Chemistry
- Quality Control
Background:
- Saposhnikoviae Radix (SR) quality is crucial for its therapeutic efficacy.
- Existing methods for SR quality assessment may lack comprehensiveness or efficiency.
Purpose of the Study:
- To develop and validate a comprehensive quality evaluation method for Saposhnikoviae Radix (SR).
- To establish a reliable analytical technique integrating fingerprint analysis and multi-component quantification.
Main Methods:
- High-performance liquid chromatography-diode array detection (HPLC-DAD) for fingerprint analysis.
- High-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) for peak identification.
- Principal component analysis (PCA) for sample discrimination.
- Single standard determination of multiple components (SSDMC) for chromone quantification.
Main Results:
- 12 out of 15 common peaks in SR fingerprints were identified.
- PCA effectively discriminated between 15 batches of SR from different origins.
- The SSDMC method for four chromones demonstrated high linearity (R(2) ≥ 0.9997), precision (RSD <4.0%), and accuracy (97.4 - 106.6%).
Conclusions:
- The integrated HPLC method provides a reliable and efficient approach for the overall quality evaluation of Saposhnikoviae Radix.
- This method offers advantages in feasibility, economy, and simplicity compared to traditional methods.
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