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运动油滴中的自我保护机制:一种非生物自我保护的计算模型

Self-preserving mechanisms in motile oil droplets: a computational model of abiological self-preservation.

作者信息

Egbert Matthew

机构信息

University of Auckland, Auckland, New Zealand.

Te Ao Mārama, University of Auckland, New Zealand.

出版信息

R Soc Open Sci. 2021 Dec 8;8(12):210534. doi: 10.1098/rsos.210534. eCollection 2021 Dec.

Abstract

Recent empirical work has characterized -small, self-propelled oil droplets whose active surface chemistry moves them through their aqueous environment. Previous work has evaluated in detail the fluid dynamics underlying the motility of these droplets. This paper introduces a new computational model that is used to evaluate the behaviour of these droplets , whereby (i) the mechanism of motility causes motion towards the conditions beneficial to that mechanism's persistence; and (ii) the behaviour automatically adapts to compensate when the motility mechanism's ideal operating conditions change. The model simulates a motile oil droplet as a disc that moves through a two-dimensional spatial environment containing diffusing chemicals. The concentration of reactants on its surface change by way of chemical reactions, diffusion, Marangoni flow (the equilibriation of surface tension) and exchange with the droplet's local environment. Droplet motility is a by-product of Marangoni flow, similar to the motion-producing mechanism observed in the lab. We use the model to examine how the droplet's behaviour changes when its ideal operating conditions vary.

摘要

最近的实证研究描述了一种小型的、自行推进的油滴,其活跃的表面化学性质使其在水环境中移动。先前的研究已经详细评估了这些油滴运动背后的流体动力学。本文介绍了一种新的计算模型,用于评估这些油滴的行为,即:(i)运动机制导致油滴朝着有利于该机制持续存在的条件移动;(ii)当运动机制的理想操作条件发生变化时,行为会自动进行调整以做出补偿。该模型将一个可移动的油滴模拟为一个圆盘,它在一个包含扩散化学物质的二维空间环境中移动。其表面反应物的浓度通过化学反应、扩散、马兰戈尼流(表面张力的平衡)以及与油滴局部环境的交换而发生变化。油滴的运动是马兰戈尼流的一个副产品,类似于在实验室中观察到的产生运动的机制。我们使用该模型来研究当油滴的理想操作条件变化时,其行为是如何改变的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6954/8652270/e16cb5a3df09/rsos210534f01.jpg

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