基于比色法的槲皮素快速检测方法
By employing an adaptive data acquisition and processing method, the problem of interference signals from complex sample matrices in quercetin colorimetric detection was solved, achieving more efficient capture and separation of quercetin characteristic signals and improving the accuracy and sensitivity of the detection.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- LINQU TIANLI BIOLOGICAL PROD CO LTD
- Filing Date
- 2026-04-13
- Publication Date
- 2026-07-17
AI Technical Summary
Existing colorimetric detection methods for quercetin struggle to effectively resolve interference signals from multiple coexisting components in complex sample matrices, resulting in insufficient specificity and accuracy of the detection results. Furthermore, existing data acquisition strategies fail to adequately consider the non-uniform distribution of data quality in the time-spectral domain, limiting the improvement of detection sensitivity and resolution.
An adaptive data acquisition and processing method is adopted. By topological segmentation of spectral response surface, dynamic spectral streamline data acquisition, static spectral background data generation, and deconvolution using iterative optimization algorithms, the quercetin feature signal and interference background signal are separated, a quantitative descriptor subset is constructed and pattern matching is performed, and the quercetin concentration is calculated.
It improves the signal-to-noise ratio and information purity of the data, enhances the distinguishability of characteristic signals in the time-spectral domain, enables more reliable quantitative analysis, and improves the sensitivity and resolution of detection.
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Figure CN122042648B_ABST
Abstract
Citation Information
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