基于基因算法结合支持向量回归的烤牛肉中异环芳氨酸的预测和生成模式的探索
Wenrui Li1, Jiachen Yu1, Nanjiang Ren1
1School of Food Science and Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China.
Food chemistry
|September 7, 2024
概括
在烤牛肉中预测有害的异环芳氨酸 (HAA) 是至关重要的. 一个基因算法-SVR模型根据加热条件准确预测HAA的形成,有助于食品安全.
科学领域:
- 食品化学 食品化学
- 分析化学 分析化学
- 计算化学计算化学
背景情况:
- 异环芳氨酸 (HAA) 是肉类在高温时形成的有毒化合物.
- 了解HAA的形成对于食品安全和公共卫生至关重要.
- 目前用于预测HAA的方法有限,需要先进的建模方法.
研究的目的:
- 开发一种用于烤牛肉中HAA的预测模型.
- 研究加热温度和时间对HAA形成的影响.
- 制定各种加工条件下的HAA产生规则.
主要方法:
- 利用遗传算法 (GA) 和支持向量回归 (SVR) 来构建一个预测模型.
- 使用主要组件分析 (PCA) 来分析加热参数的影响.
- 在受控加热下研究了烤牛肉中的HAA前体和形成途径.
主要成果:
- PCA证实,加热温度和加热时间的增加显著增加了HAA的产生.
- 该GA-SVR模型实现了高预测准确度,绝对误差接近零,R值接近1.
- 确定了不同加工条件下的HAA的关键形成规则.
结论:
- 该GA-SVR模型提供了一个可靠的工具,用于实时监测烤牛肉中的HAA.
- 这种预测能力支持控制热加工肉类中的危险物质.
- 为肉类行业的智能加工和增强食品安全提供技术支持.
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