牛奶脂肪球体是外源性脂性生物活性物质的天然载体
Maha Alshehab1, Tana Hernández-Barrueta1, Hemiao Cui1
1Department of Food Science and Technology, University of California-Davis, Davis, CA 95616, United States.
Food research international (Ottawa, Ont.)
|August 12, 2025
概括
牛奶脂肪球体 (MFGs) 可以封装脂性化合物,分离取决于疏水性. 机器学习准确预测封装效率,优化其在各种应用中的使用.
科学领域:
- 食品科学与技术 食品科学与技术
- 生物材料工程是生物材料的工程.
- 营养学药品的发展
背景情况:
- 自然存在的载体越来越多地被用于食品,农业,化品和医疗应用.
- 牛奶脂肪球体 (MFG) 呈现出对脂性物质的潜在天然载体系统.
- 了解MFG内的生物活性分区对于优化封装至关重要.
研究的目的:
- 评估使用乳脂球体 (MFGs) 作为外源性脂性生物活性物质的天然载体的可行性.
- 调查化合物特性 (log P,TPSA) 和它们在MFG中的分区行为之间的关系.
- 在MFGs中开发脂友分子封装效率的预测模型.
主要方法:
- 选择了五种具有不同疏水性 (log P 1.5-8) 和TPSA (25-120 Å) 的模型脂友生物活性.
- 利用光成像来评估MFG中的化合物的分离.
- 采用机器学习模型 (随机森林回归,多重线性回归) 来预测封装效率.
- 评估了工艺条件 (乙醇度,化时间,温度) 对封装的影响.
主要成果:
- 化合物优先定位在MFG膜 (fisetin, quercetin) 或核心 (eugenol, cholecalcipherol, retinyl acetate) 上,根据它们的 log P 值.
- 观察到的封装效率最高的是网酸乙烯 (≥100%,log P=8.0),最低的是菲塞 (30%,log P=1.5).
- 与多重线性回归相比,随机森林回归在预测封装效率方面表现出更高的准确性,其中log P,TPSA和膜结合能量是关键特征.
- 乙醇度,化时间和温度的增加对乙二甲封装产生了积极的影响.
结论:
- 牛奶脂肪球体 (MFGs) 是一系列脂性生物活性化合物的有效天然载体.
- 化合物疏水性 (log P) 是MFG内部分区的主要决定因素.
- 机器学习,特别是随机森林回归,提供了一个准确的方法来预测MFG中的脂性分子封装,有助于过程优化.
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