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Simultaneous 'Clean-and-Repair' of Surfaces Using Smart Droplets

机译：使用智能液滴同时“清洁和修复”表面

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摘要

An autonomous self-healing system, inspired by transportation processes inherent to biology, is described for materials transportation and repair. The selected model system combines inorganic nanoparticles (NPs) on damaged substrates with functional emulsion droplets that pick up the particles from pristine portions of the substrate and deposit them into damaged regions. The droplets are stabilized by polymer surfactants containing phosphorylcholine groups, a polymer composition selected to impart surfactant properties for droplet stabilization as well as fouling resistance to prevent irreversible droplet adsorption on the substrates. Both the NP pickup (cleaning) and drop off (repair) steps are conducted in a system driven by an imposed flow and characterized by fluorescence microscopy. To evaluate and optimize the efficiency of this NP transportation process, the effect of both the chemical composition of the polymer surfactant and the NP surface chemistry is investigated. Interfacial interactions proved enabling for these NP transportation processes, specifically those involving NP/droplet, NP/substrate, and droplet/substrate interactions. Ultimately, droplets capable of both picking up and dropping off NPs are realized by adjusting fluid/fluid and fluid/substrate interactions, with electrostatic interactions between NPs and droplets proving most effective.
机译：描述了受生物学固有运输过程启发的自主自我修复系统，用于材料运输和修复。选定的模型系统将受损基材上的无机纳米颗粒（NP）与功能性乳液液滴结合在一起，这些液滴从基材的原始部分拾取颗粒并将其沉积到受损区域中。液滴通过含有磷酸胆碱基团的聚合物表面活性剂来稳定，该聚合物表面活性剂经选择以赋予表面活性剂特性以实现液滴稳定以及防污性以防止不可逆的液滴吸附在基材上。 NP拾取（清洁）和卸料（修复）步骤均在施加气流驱动的系统中进行，并通过荧光显微镜进行表征。为了评估和优化此NP传输过程的效率，研究了聚合物表面活性剂的化学组成和NP表面化学性质的影响。界面相互作用被证明可以实现这些NP转运过程，特别是涉及NP /液滴，NP /基质和液滴/基质相互作用的过程。最终，通过调节流体/流体和流体/底物之间的相互作用，实现了能够吸收和释放NP的液滴，其中NP和液滴之间的静电相互作用被证明是最有效的。

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