A method for evaluating the quality of musk based on multi-component synergistic detection

By constructing an integrated evaluation system for the synergistic detection and interval comparison of multiple components of musk, the problem of the inability to accurately distinguish between inferior musk and blended modified musk in existing technologies has been solved, thus achieving accuracy and consistency in the evaluation of musk quality.

CN122307005APending Publication Date: 2026-06-30浦泰有限公司(PUTAI LTD)中国香港
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
浦泰有限公司(PUTAI LTD)中国香港
Filing Date
2026-05-28
Publication Date
2026-06-30

AI Technical Summary

Technical Problem

Existing technologies cannot accurately distinguish between inferior musk and blended/modified musk with imbalanced component ratios, resulting in a disconnect between quality evaluation results and actual medicinal efficacy.

Method used

An integrated evaluation system for the synergistic detection and interval comparison of multiple components of musk was constructed. By using targeted feature scanning and external standard comparison matching, combined with the setting of graded intervals and synergistic judgment rules for the four major categories of components, a comprehensive evaluation of authenticity, aging and process was achieved.

Benefits of technology

This significantly improves the accuracy of musk quality evaluation, enabling precise identification of authenticity, aging, and process compliance, ensuring that evaluation results are consistent with actual medicinal quality.

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Abstract

This invention discloses a method for evaluating the quality of musk based on multi-component synergistic detection, belonging to the technical field of musk quality evaluation. The method includes the following steps: pretreatment preparation of the musk sample; gradient separation of components; simultaneous quantitative detection of multiple components; standardized comparison and grading pretreatment of multi-component detection data; and direct determination of musk quality grade through multi-component synergistic matching comparison. This invention solves the problem in existing technologies where inferior musk or blended / modified musk cannot be accurately identified even if a single indicator meets the standard but the proportions of multiple components are unbalanced. This invention constructs an integrated evaluation system for musk multi-component synergistic detection and interval comparison, setting grading intervals and judgment rules according to four component categories. It uses authenticity and aging as a veto factor, along with efficacy grading and process verification, to simultaneously achieve authenticity identification, quality grading, aging determination, and process traceability, significantly improving the accuracy of the evaluation.
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