A prediction model for sensory characteristics of cantonese-style stewed flavor and a construction method thereof

By constructing a sensory characteristic prediction model for Cantonese-style braised flavor and using the correlation between instrument data and sensory descriptive terms, the problem of the difficulty in preserving the flavor characteristics of Cantonese-style braised products in industrial production was solved. This enabled standardized quantitative evaluation and prediction, and improved the reliability of product development and quality control.

CN122412948APending Publication Date: 2026-07-17ZHONGKAI UNIV OF AGRI & ENG +1

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
ZHONGKAI UNIV OF AGRI & ENG
Filing Date
2026-04-15
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

The lack of scientific sensory evaluation methods in existing technologies makes it difficult to effectively preserve the core flavor characteristics of Cantonese braised products in industrial production. The lack of unified sensory evaluation standards also affects the development of new products.

Method used

By combining instrumental data acquisition with sensory descriptive terms, a sensory characteristic prediction model for Cantonese-style braised flavor was constructed. Data on the appearance, aroma, taste, and texture of braised products were obtained using a colorimeter, electronic nose, electronic tongue, and texture analyzer. The model was then trained using a random forest model to establish an objective sensory characteristic prediction model.

Benefits of technology

It enables objective, standardized, and repeatable quantitative evaluation of the flavor of Cantonese braised products, overcomes the subjectivity and instability of traditional sensory evaluation, and provides a reliable means for product development and quality control.

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Abstract

本发明公开了一种广式卤制风味的感官特征预测模型及其构建方法,该方法包括以下步骤:采集不同品牌卤制肉制品的感官属性仪器数据,所述仪器数据包括外观色差值、气味指纹图谱、基本味觉强度和质地剖面分析参数;收集并筛选与仪器数据关联的感官描述词,得到筛选后的感官描述词;基于所述筛选后的感官描述词及对应的参照物定义构建风味轮;基于所述仪器数据和风味轮的感官评分数据,使用随机森林模型进行训练,得到感官特征预测模型;基于所述感官特征预测模型得到广式卤制肉制品感官特征的量化预测结果。
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