A method for detecting the content of pigskin collagen

By generating a dedicated detection path and synchronous medium diffusion, dynamic spectral sequences are acquired, solving the problems of sample heterogeneity and dynamic changes in porcine skin collagen detection, and achieving high-precision collagen content detection.

CN121783895BActive Publication Date: 2026-06-23FUJIAN YOUJIAN BIOTECHNOLOGY CO LTD
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Patent Information

Application Number
CN202610267354.5
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2026-03-06
Publication Date
2026-06-23
Estimated Expiration
2046-03-06

AI Technical Summary

Technical Problem

Existing pig skin collagen detection technologies cannot adapt to individual sample differences, ignore the spatial heterogeneity of pig skin, resulting in large measurement errors and an inability to capture dynamic spectral changes.

Method used

By establishing the initial optical profile of the pig skin sample, a dedicated detection path is generated, and the movement of the detection probe and diffusion of the medium are detected simultaneously. Dynamic spectral sequences are collected, and cross-node correlation fusion and feature map generation are performed. The collagen content is then output by combining the pre-stored feature-content mapping model.

Benefits of technology

It improves the signal-to-noise ratio and prediction accuracy of detection, reduces measurement errors caused by sample surface inhomogeneity, captures dynamic response information of collagen interaction with the medium, and enhances the analytical capability of the model.

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Abstract

The application relates to the technical field of optical detection, and discloses a pigskin collagen content detection method. Before contacting a detection medium, the initial optical profile of a pigskin sample is established. According to the profile, a special detection path for the sample is generated, and the moving track and the stay node of the probe sampling are specified. The medium is injected at the starting point of the path, and a synchronization mechanism is started to synchronize the probe movement with the medium diffusion front. When the probe reaches the terminal node, the spectral sequence of each node on the path is recorded completely, and the sequence contains the dynamic characteristic absorption information of collagen. The spectral sequence is subjected to cross-node correlation fusion to generate the fusion spectral feature map of the sample. The map is compared with a pre-stored feature-content mapping model, and the collagen content value is output. The application realizes adaptive sampling and dynamic process tracking, and improves the accuracy and reliability of detection.
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