婴儿体外消化的微流体模型:乳铁蛋白消化的特征。

IF 2.5 4区 医学 Q3 BIOCHEMICAL RESEARCH METHODS
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引用次数: 0

摘要

继之前发表的成人体外消化系统之后,我们介绍了一种微型化的婴儿体外消化流动模型。我们采用微流体 "混沌 "混合器作为微反应器,以帮助模拟婴儿胃肠中的生化处理过程。将模拟消化液引入这些微混合器,在胃和肠阶段之后将混合物培养 60 分钟。婴儿胃的 pH 值设定为 5.3,高于成人胃的 pH 值。这导致我们的研究中用作模型化合物的牛奶蛋白--乳铁蛋白的消化模式完全不同。研究发现,乳铁蛋白在通过胃阶段时仍未被消化,而是完整地进入了肠阶段,这与成人的消化过程不同。在肠道阶段,乳铁蛋白被迅速消化。与标准方法相比,我们的微型婴儿体外消化系统所需的人力和化学药品要少得多,并显示出未来自动化的巨大潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A microfluidic model for infantile in vitro digestions: Characterization of lactoferrin digestion

We present a miniaturized, flow-through model for infantile in vitro digestions, following up on our previously published in vitro digestive system for adults. Microfluidic ‘chaotic’ mixers were employed as microreactors to help emulate the biochemical processing going on in the infantile stomach and intestine. Simulated digestive fluids were introduced into these micromixers, and the mixtures were incubated for 60 min after both the gastric phase and the intestinal phase. The pH of the infantile stomach was set at 5.3, which is higher than that of adults. This leads to entirely different patterns of digestion for the milk protein, lactoferrin, used in our study as a model compound. It was found that lactoferrin remained undigested as it passed through the gastric phase and reached the intestinal phase intact, unlike in adult digestions. In the intestinal phase, lactoferrin was rapidly digested. Our miniaturized, infantile, in vitro digestive system requires much less labor and chemicals than standard approaches, and shows great potential for future automation.

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来源期刊
SLAS Technology
SLAS Technology Computer Science-Computer Science Applications
CiteScore
6.30
自引率
7.40%
发文量
47
审稿时长
106 days
期刊介绍: SLAS Technology emphasizes scientific and technical advances that enable and improve life sciences research and development; drug-delivery; diagnostics; biomedical and molecular imaging; and personalized and precision medicine. This includes high-throughput and other laboratory automation technologies; micro/nanotechnologies; analytical, separation and quantitative techniques; synthetic chemistry and biology; informatics (data analysis, statistics, bio, genomic and chemoinformatics); and more.
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