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混合速率控制自催化过程的速率和结果:化学反应和血液凝固的理论与微流控实验

Rate of mixing controls rate and outcome of autocatalytic processes: theory and microfluidic experiments with chemical reactions and blood coagulation.

作者信息

Pompano Rebecca R, Li Hung-Wing, Ismagilov Rustem F

机构信息

Department of Chemistry and Institute for Biophysical Dynamics, The University of Chicago, Chicago, Illinois 60637, USA.

出版信息

Biophys J. 2008 Aug;95(3):1531-43. doi: 10.1529/biophysj.108.129486. Epub 2008 Apr 18.

Abstract

This article demonstrates that the rate of mixing can regulate the rate and outcome of both biological and nonbiological autocatalytic reaction systems that display a threshold response to the concentration of an activator. Plug-based microfluidics was used to control the timing of reactions, the rate of mixing, and surface chemistry in blood clotting and its chemical model. Initiation of clotting of human blood plasma required addition of a critical concentration of thrombin. Clotting could be prevented by rapid mixing when thrombin was added near the critical concentration, and mixing also affected the rate of clotting when thrombin was added at concentrations far above the critical concentration in two clinical clotting assays for human plasma. This phenomenon was modeled by a simple mechanism--local and global competition between the clotting reaction, which autocatalytically produces an activator, and mixing, which removes the activator. Numerical simulations showed that the Damköhler number, which describes this competition, predicts the effects of mixing. Many biological systems are controlled by thresholds, and these results shed light on the dynamics of these systems in the presence of spatial heterogeneities and provide simple guidelines for designing and interpreting experiments with such systems.

摘要

本文表明,混合速率可调节对激活剂浓度呈现阈值响应的生物和非生物自催化反应系统的速率及结果。基于微流控技术用于控制血液凝固及其化学模型中的反应时间、混合速率和表面化学。人血浆凝血的启动需要添加临界浓度的凝血酶。当在临界浓度附近添加凝血酶时,快速混合可防止凝血,并且在两种人血浆临床凝血试验中,当添加的凝血酶浓度远高于临界浓度时,混合也会影响凝血速率。这种现象通过一种简单机制进行建模——自催化产生激活剂的凝血反应与去除激活剂的混合之间的局部和全局竞争。数值模拟表明,描述这种竞争的达姆科勒数可预测混合的影响。许多生物系统受阈值控制,这些结果揭示了这些系统在存在空间异质性情况下的动力学,并为设计和解释此类系统的实验提供了简单指导。

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