一种食品体系中晚期糖基化终末产物AGEs含量的预测方法及应用

By combining an in vitro simulation system and multidimensional calibration technology with a random forest algorithm, the comparability and anti-interference issues of AGEs detection in beer were solved, enabling rapid and accurate prediction of AGEs content. This method is suitable for dynamic monitoring and quality control during food thermal processing.

CN121540681BActive Publication Date: 2026-07-17SOUTH CENTRAL UNIVERSITY FOR NATIONALITIES
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SOUTH CENTRAL UNIVERSITY FOR NATIONALITIES
Filing Date
2025-11-25
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies are difficult to use efficiently, accurately, and cost-effectively to detect advanced glycation end products (AGEs) in food, especially in complex matrices such as beer, where there are problems such as poor comparability of detection results, weak anti-interference ability, and insufficient model performance.

Method used

An in vitro simulation system was constructed, and nano-enhancement and multidimensional correction techniques were combined. The random forest algorithm was used to establish the nonlinear relationship between AGEs fluorescence signals and content. The beer matrix interference was eliminated by the dilution method, so as to achieve rapid and accurate prediction of AGEs content.

Benefits of technology

It provides a unified calibration benchmark, deeply separates AGEs signals from matrix interference, significantly improves detection sensitivity and anti-interference ability, and enables rapid and accurate prediction of AGEs content in beer. It is suitable for batch sample screening and production process control.

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Abstract

本发明属于食品化学检测领域，具体涉及一种食品体系中晚期糖基化终末产物（AGEs）含量的预测方法及应用。所述预测方法基于体外模拟体系、纳米诱导荧光峰位移动效应，结合ATLD和PARAFA多维校正技术和随机森林算法，建立AGEs含量预测模型，可用于啤酒等热加工食品中AGEs的快速精准预测。该方法能够有效消除食品基质的干扰，准确预测AGEs含量，具有高特异性、高准确率、易于标准化等优点。
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Citation Information

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