Institute for Molecules and Materials, Radboud University, Heyendaalseweg 135, 6525 AJ Nijmegen, The Netherlands.
Langmuir. 2022 Sep 6;38(35):10799-10809. doi: 10.1021/acs.langmuir.2c01241. Epub 2022 Aug 25.
Self-organization of meso- and macroscale structures is a highly active research field that exploits a wide variety of physicochemical phenomena, including surface tension, Marangoni flow, and (elasto)capillary effects. The release of surface-active compounds generates Marangoni flows that cause repulsion, whereas capillary forces attract floating particles via the Cheerios effect. Typically, the interactions resulting from these effects are nonselective because the gradients involved are uniform. In this work, we unravel the mechanisms involved in the self-organization of amphiphile filaments that connect and attract droplets floating at the air-water interface, and we demonstrate their potential for directional gradient formation and thereby selective interaction. We simulate Marangoni flow patterns resulting from the release and depletion of amphiphile molecules by source and drain droplets, respectively, and we predict that these flow patterns direct the growth of filaments from the source droplets toward specific drain droplets, based on their amphiphile depletion rate. The interaction between such droplets is then investigated experimentally by charting the flow patterns in their surroundings, while the role of filaments in source-drain attraction is studied using microscopy. Based on these observations, we attribute attraction of drain droplets and even solid objects toward the source to elastocapillary effects. Finally, the insights from our simulations and experiments are combined to construct a droplet-based system in which the composition of drain droplets regulates their ability to attract filaments and as a consequence be attracted toward the source. Thereby, we provide a novel method through which directional attraction can be established in synthetic self-organizing systems and advance our understanding of how complexity arises from simple building blocks.
介观和宏观结构的自组织是一个非常活跃的研究领域,它利用了广泛的物理化学现象,包括表面张力、马兰戈尼流和(弹)毛细效应。表面活性化合物的释放会产生马兰戈尼流,从而导致排斥,而毛细力则通过 Cheerios 效应吸引漂浮颗粒。通常,这些效应产生的相互作用是非选择性的,因为涉及的梯度是均匀的。在这项工作中,我们揭示了连接和吸引漂浮在气液界面上的液滴的两亲分子纤维自组织所涉及的机制,并展示了它们用于定向梯度形成和因此用于选择性相互作用的潜力。我们通过源和汇液滴分别模拟由两亲分子释放和耗尽引起的马兰戈尼流模式,并且我们预测这些流模式将源液滴中的纤维引导到特定的汇液滴,这基于它们的两亲分子耗尽率。然后,通过记录它们周围的流模式,通过实验研究了这种液滴之间的相互作用,同时通过显微镜研究了纤维在源-汇吸引中的作用。基于这些观察,我们将汇液滴甚至固体物体朝向源的吸引归因于弹毛细效应。最后,我们将模拟和实验的见解结合起来,构建了一个基于液滴的系统,其中汇液滴的组成调节它们吸引纤维的能力,并因此被吸引到源。由此,我们提供了一种通过合成自组织系统建立定向吸引的新方法,并深入了解了如何从简单的构建块中产生复杂性。