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机械运动模型用于阐明喷雾干燥微封装油中的脂质氧化机制

Khoa A Nguyen¹, Vincent J P Boerkamp¹, Arend Dubbelboer²

¹Wageningen University & Research, Food Chemistry, Bornse Weilanden 9, 6708, WG, Wageningen, The Netherlands.

|September 18, 2025

概括

数学建模显示,豆蛋白分离物 (PPI) 在干燥的微封装油 (DMO) 中提供最好的抗氧化作用. 这个数字工具快速评估乳化剂和抗氧化剂对脂质氧化的影响,改善保质期预测.

科学领域:

食品科学食品科学食品科学
物理化学物理化学
化学工程是化学工程的重要组成部分.

背景情况:

脂质氧化是限制干燥微封装油 (DMO) 的保质期的主要因素.
数学建模提供了一种强大的方法来理解DMO系统中复杂的氧化机制和调节因素.

研究的目的:

开发一种机械动力学模型来描述DMO中的脂质氧化.
评估不同乳化剂 (CITREM,WPI,PPI) 对氧化动态的影响.
评估该模型在预测抗氧化剂功效方面的实用性.

主要方法:

开发DMO氧化的机械动力学模型.
纳入特定乳化剂的反应参数:酸 Ester Monoglycerides (CITREM),乳清蛋白分离物 (WPI) 和豆蛋白分离物 (PPI).
利用"如果"情景来更快地评估抗氧化剂贡献.

主要成果:

运动模型确定豆蛋白分离物 (PPI) 具有最显著的抗氧化作用.
PPI抗氧化活性的机制包括自我氧化和作为物理屏障的作用.
该模型比较于完整的保质期测试,可以更快地评估来自托科菲醇和商业混合物的抗氧化剂贡献.

结论:

开发的机械动力学模型是一个有价值的数字工具,用于理解DMO中的脂质氧化.
该模型有助于阐明由各种乳化剂和抗氧化剂影响的氧化调节机制.
这种方法可以更有效地评估DMO配方中的乳化剂和抗氧化剂性能.

关键词:

抗氧化剂是一种抗氧化剂.乳化剂乳化剂乳化剂封装中的脂肪氧化水化合物氧化水化合物氧化水化合物粉末粉末粉末粉末耐用期测试耐用期测试耐用期测试

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