SNAPIG:基于饮食和成分特性研究生长猪的营养消化和吸收动力学的模型
M Schop1, H Nguyen-Ba2, A J M Jansman2
1Animal Nutrition Group, Wageningen University & Research, PO BOX 338, 6700 AH Wageningen, the Netherlands.
Animal : an international journal of animal bioscience
|November 28, 2023
概括
一个新的模型,SNAPIG (模拟猪的营养消化和吸收动力学),通过计算消化动力学和食动物相互作用,预测猪的营养吸收,从而提高料配方的准确性.
科学领域:
- 动物营养 动物营养
- 计算生物学 计算生物学
- 消化系统生理学 消化系统生理学
背景情况:
- 目前的料评估使用静态的营养值,忽略了复杂的营养相互作用和动态的消化过程.
- 准确预测营养价值需要了解营养消化动力学和饮食与动物相互作用.
研究的目的:
- 开发一种基于营养的机械消化模型,用于生长的猪,名为SNAPIG.
- 预测不同成分组成和物理化学性质的饮食中营养吸收的速度和程度.
主要方法:
- SNAPIG模拟了蛋白质,粉,脂肪和非粉多糖的消化动力学 (通过,水解,吸收,分泌).
- 输入变量包括营养摄入量和物理化学性质 (可溶性,可降解性).
- 模型校准使用了用于水解的体外数据和用于血液中营养物质出现的体外数据.
主要成果:
- SNAPIG准确地预测了葡萄糖吸收动力学,解释了吸收峰值时间的变化.
- 该模型以合理的准确性 (RMSPE 12-16%) 预测了叶叶蛋白和脂肪消化程度.
- 氨基酸吸收动力学显示变化的预测不太准确,突出显示需要重新校准的区域.
结论:
- SNAPIG 提高了对猪的营养消化动力学的定量理解.
- 该模型作为一个有价值的研究工具,用于预测营养消化和吸收.
- 为了准确预测氨基酸吸收,需要使用特定的猪数据进行进一步的重新校准.
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