Silkworm cocoon source discrimination and quality evaluation method and system based on molecular marker analysis

By combining alkaline degumming treatment, liquid chromatography-mass spectrometry, and deep learning models, the problems of subjectivity and reproducibility in silkworm cocoon origin identification and quality assessment have been solved, enabling accurate traceability and quantitative evaluation of silkworm cocoon origin.

CN121633358APending Publication Date: 2026-03-10WEST LAKE SILK BIOTECHNOLOGY (HANGZHOU) CO LTD
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Patent Information

Application Number
CN202511853581.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-10
Publication Date
2026-03-10

AI Technical Summary

Technical Problem

Existing technologies suffer from strong subjectivity, poor reproducibility, and difficulty in achieving high precision and sensitivity in silkworm cocoon origin identification and quality assessment. In particular, they lack objective and quantitative criteria when dealing with subtle differences in intrinsic quality caused by variations in rearing environment and mulberry leaf variety.

Method used

The degumming rate was determined by alkaline degumming treatment, and molecular marker analysis was performed using liquid chromatography-mass spectrometry and a deep learning model. A standard curve was established by combining the external standard method, so as to achieve accurate traceability of the source of silkworm cocoons and quantitative evaluation of their intrinsic quality.

Benefits of technology

It enables precise traceability of silkworm cocoon origin and objective, quantitative evaluation of intrinsic quality, thereby improving the accuracy and precision of silkworm cocoon identification.

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Abstract

The invention discloses a silkworm cocoon source discrimination and quality evaluation method and system based on molecular marker analysis, and the method comprises the steps: carrying out the alkaline degumming treatment of a silkworm cocoon sample, and achieving the preliminary discrimination of silkworm cocoons with different feeding sources based on the degumming rate difference; the method comprises the following steps: extracting a silkworm cocoon sample through an organic solvent to prepare a to-be-detected sample solution for liquid chromatography-mass spectrometry; carrying out separation detection on the sample solution to be detected by using a liquid chromatography-mass spectrometry technology to obtain chromatography-mass spectrometry data of the silkworm cocoon sample; performing feature extraction and similarity learning on the chromatography-mass spectrometry data by adopting a deep learning model to finish qualitative analysis of the molecular marker; and based on the qualitative analysis result, establishing a standard curve through an external standard method, and calculating the content of the target compound in the silkworm cocoon according to the peak area of the target compound. According to the embodiment of the invention, accurate tracing of silkworm cocoon sources and objective and quantitative evaluation of internal quality can be realized.
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