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[Comparative study on HPLC fingerprints between crude and processed Ligustri Lucidi Fructus]
Hao-Jie Zhang1, Huan-Ru Li1, Zhi-Yi Feng2
1Henan University of Chinese Medicine Zhengzhou 450046, China Co-construction Collaborative Innovation Center for Chinese Medicine and Respiratory Diseases by Henan & Education Ministry of China Zhengzhou 450046, China Zhengzhou Key Laboratory of Chinese Medicine Quality Control and Evaluation Zhengzhou 450046, China.
High-performance liquid chromatography (HPLC) fingerprints were established for Ligustri Lucidi Fructus, enabling quality evaluation through similarity and pattern recognition. This method reliably distinguishes between crude and processed forms, identifying key marker compounds.
Area of Science:
- Pharmacognosy
- Analytical Chemistry
- Traditional Chinese Medicine
Background:
- Ligustri Lucidi Fructus is a traditional Chinese medicine with therapeutic applications.
- Standardized quality control methods are essential for ensuring the efficacy and safety of herbal medicines.
- Establishing reliable analytical fingerprints is crucial for differentiating raw and processed herbal materials.
Purpose of the Study:
- To develop and validate High-Performance Liquid Chromatography (HPLC) fingerprints for crude and processed Ligustri Lucidi Fructus.
- To evaluate the quality and differentiate between crude and processed forms using similarity calculations and chemical pattern recognition.
- To identify key marker compounds responsible for variations between crude and processed Ligustri Lucidi Fructus.
Main Methods:
- High-Performance Liquid Chromatography (HPLC) with a Syncronis C18 column and gradient elution using acetonitrile and phosphoric acid.
- Detection at 280 nm for 22 batches of crude and processed Ligustri Lucidi Fructus.
- Similarity evaluation using the Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine (2012 Edition).
- Chemical pattern recognition employing Cluster Analysis (CA), Principal Component Analysis (PCA), and Partial Least Squares Discriminant Analysis (PLS-DA).
Main Results:
- Stable and reliable HPLC fingerprints were successfully established for both crude and processed Ligustri Lucidi Fructus.
- High similarity (0.9 to 1.0) was observed within the established fingerprints.
- Cluster Analysis (CA), Principal Component Analysis (PCA), and Partial Least Squares Discriminant Analysis (PLS-DA) effectively distinguished between crude and processed samples.
- Eleven key constituents, including hydroxytyrosol, tyrosol, specnuezhenide, and oleuropein, were identified as major marker components differentiating the samples.
Conclusions:
- The developed HPLC fingerprinting method is robust and suitable for the quality control of crude and processed Ligustri Lucidi Fructus.
- Chemical pattern recognition techniques (CA, PCA, PLS-DA) provide a powerful tool for comprehensive quality evaluation of Ligustri Lucidi Fructus.
- The study successfully identified marker compounds that can aid in quality assessment and process validation.
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