Quality evaluation system and method for ramulus uncariae cum uncis and radix clematidis gout health-care compound extracting solution
By constructing the spatial density distribution structure of spectral feature points and optimizing the partial least squares quantitative model, the problems of spectral feature interference and prediction stability in the quality evaluation of the compound extract of Uncaria rhynchophylla and Clematis chinensis for gout relief were solved, and rapid and non-destructive quality detection and evaluation were achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- 贵阳康养职业大学
- Filing Date
- 2025-12-19
- Publication Date
- 2026-05-15
AI Technical Summary
Existing technologies using near-infrared spectroscopy to evaluate the quality of complex compound extracts of Uncaria rhynchophylla and Clematis chinensis for gout relief suffer from problems such as spectral interference and insufficient predictive stability, leading to inaccurate predictions of the content of key quality markers.
The spatial density distribution structure of spectral feature points is constructed. By calculating the distribution density function of spectral feature points in multidimensional space, the characteristic absorption peaks of rhynchophylline, isorhynchophylline, and clematisin are determined, spectral response calibration coefficients are generated, and the partial least squares quantitative model is optimized. The quality grade is determined by combining spectral similarity analysis.
It improves the reliability of quality marker content prediction and the adaptability of the model, and enables rapid and non-destructive testing of compound extract quality, ensuring stable compliance of product efficacy components and batch consistency.
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Figure CN122050596A_ABST