确定最优的非线性回归模型,以研究脂肪酸体生物化在体外的动力学
Zohreh Zarnegar1, Seyed Hadi Ebrahimi1, Abbas Rohani2
1Department of Animal Science, Faculty of Agriculture, Ferdowsi University of Mashhad, 91775-1163 Mashhad, Iran.
ACS omega
|December 25, 2023
概括
精确估计脂肪酸 (FA) 生物化 (BH) 动力学在小牛骨中至关重要. 这项研究确定了Gompertz和Örskov和麦当劳模型是最好的估计不同FA类型的BH动力学.
科学领域:
- 动物科学动物科学
- 营养生物化学 营养生物化学
- 鲁门 微生物学
背景情况:
- 精确估计脂肪酸 (FA) 的体外小体生物化 (BH) 动力学对于理解FA动态至关重要.
- 开发有针对性的策略来增强理想的FA绕道需要精确的动力建模.
研究的目的:
- 综合评估33个非线性回归模型,用于估计单个FA的体外BH动力学.
- 为了确定最适合的模型,准确预测FA生物化在小牛.
主要方法:
- 利用了一项关于微化和维生素E对大麻的体外体BH的影响研究的数据.
- 使用非线性回归分析与多个时间点 (2-48小时) 的FA度数据.
- 基于R平方,RMSE和系数显著性的评估模型.
主要成果:
- 戈珀茨模型对上升趋势的FA有效,包括中间不和和和的终端FA.
- 奥尔斯科夫和麦当劳的第一阶动力学模型是首选的下降趋势的FA,如油性,酸和α-酸.
- 确定了具有优异数据匹配和显著预测洞察力的特定模型.
结论:
- 戈珀茨和奥尔斯科夫和麦克唐纳模型为不同的FA提供了精确的 in vitro 类 BH 动力学的估计.
- 这些经过验证的模型为未来对FA生物化动态的研究提供了宝贵的工具.
- 更好地了解FA动力学可以为改善反动物营养利用的策略提供信息.
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