Quality assessment of Bupleurum chinense by coupling Belousov-Zhabotinsky oscillation with principal component analysis
Year: 2025
Type: article
Abstract: This study established a comprehensive analytical methodology utilizing Belousov-Zhabotinsky (B-Z) oscillation patterns coupled with principal component analysis for quality evaluation of medicinal herb extracts. The optimized system employed a two-electrode configuration with platinum working electrode (d = 2.0 mm) and demonstrated characteristic temporal evolution across three distinct phases. Systematic parameter optimization revealed optimal conditions including H 2 SO 4 (3.0 mol/L), malonic acid (0.4 mol/L), and KBrO 3 (0.3 mol/L) concentrations. High-quality samples exhibited distinctive oscillation characteristics including maximum amplitudes of 0.09–0.14 V and mean oscillation periods between 16 and 23 seconds, with amplitude decay following pseudo-first-order kinetics (decay constants 2.3 ×10 −3 to 3.8 ×10 −3 s −1 ). The analytical method showed excellent precision with relative standard deviations below 4 % for key parameters, particularly peak potentials (RSD = 1.7 %). Hierarchical cluster analysis initially revealed three distinct quality clusters; however, by further integrating quantitative oscillation parameters (e.g., ΔEₘₐₓ, induction time, and oscillation lifetime) and their correlations with traditional quality markers, these clusters were refined into five quality grades, thereby providing a more detailed evaluation framework. The method's robustness was confirmed through stability testing, showing minimal sensitivity to temperature variations ( ± 2°C) and reagent concentration fluctuations ( ± 2 %). Analysis of 30 samples from three geographical origins demonstrated clear regional quality patterns, with Q2 values of 0.85 and 0.78 for PC1 and PC2 respectively, enabling reliable geographical source discrimination.
Authors: Na Wang, Feng Li, Xiaodong Fan
Language: English
Subfield: Complementary and alternative medicine
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $1,670
OpenAlex ID: W4409472479