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Bio-inspired hierarchical topography for texture driven fog harvesting

机译:受生物启发的分层地形,用于纹理驱动的雾气收集

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Fog harvesting is recognized as one of the most sustainable means of freshwater collection. Synthetic fog harvesting surfaces have been predominantly inspired from the desert beetle's exoskeleton which exhibits a bumpy topography. This topography underlies an alternating hydrophilic-hydrophobic pattern which has been the basis of several bio-inspired fog harvesting surfaces. However, replication of such hydrophilic-hydrophobic patterns involves multiple processing steps and tedious incorporation of functional/chemical groups at precise locations. On the other hand, surface topography or texture has proven to be insufficient in realizing an efficient fog harvesting surface. This is because micro-or nano-scale textures alone fail to simultaneously maximize the rate of droplet condensation and disposal, which are the two key aspects of efficient fog harvesting. Herein, we report that a hierarchically-textured surface, consisting of micro-lenses arrays covered with high aspect-ratio nanoscale fibrils, can fulfil these two key requirements for maximizing fog harvesting efficiency. While the micro-lenses enable faster droplet condensation, the cluster of nanoscale fibrils impart superhydrophobicity that aids in intermittent droplet disposal. Together, the topography achieves a fog collection efficiency similar to 5-6 times higher than that of the planar counterpart. Moreover, this hierarchical texture is fabricated by a simple one-step nanoimprinting approach which is scalable to arbitrarily large-area flexible substrates.
机译:雾的收集被认为是最可持续的淡水收集方式之一。合成雾收集表面的主要灵感来自沙漠甲虫的外骨骼,该外骨骼呈现出崎bump的地形。该地形图是交替的亲水-疏水图案的基础,该图案是数个生物启发的雾气收集表面的基础。然而,这种亲水-疏水图案的复制涉及多个加工步骤以及在精确位置上繁琐地引入功能/化学基团。另一方面,事实证明表面形貌或纹理不足以实现有效的雾气收集表面。这是因为单独的微米或纳米级纹理无法同时最大化液滴凝结和处理的速度,而液滴凝结和处理是有效雾气收集的两个关键方面。在本文中,我们报道了由具有高纵横比纳米级原纤维覆盖的微透镜阵列组成的层次结构化表面可以满足这两个关键要求,以最大限度地提高除雾效率。尽管微透镜能够实现更快的液滴凝结,但纳米级原纤维团簇却具有超疏水性,有助于间歇性地处理液滴。总体而言,该地形实现的除雾效率比平面对应的除雾效率高5-6倍。此外,这种分层纹理是通过简单的一步式纳米压印方法制造的,该方法可扩展到任意大面积的柔性基板。

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