Song Yun-Yun, Liu Yan, Jiang Hao-Bo, Li Shu-Yi, Kaya Cigdem, Stegmaier Thomas, Han Zhi-Wu, Ren Lu-Quan
Key Laboratory of Bionic Engineering (Ministry of Education), Jilin University, Changchun, 130022, P.R. China.
German Institutes of Textile and Fiber Research Denkendorf, Denkendorf, Germany.
Sci Rep. 2017 Sep 21;7(1):12056. doi: 10.1038/s41598-017-12238-1.
We designed a kind of smart bioinspired fiber with multi-gradient and multi-scale spindle knots by combining polydimethylsiloxane (PDMS) and graphene oxide (GO). Multilayered graphene structures can produce obvious wettability change after laser etching due to increased roughness. We demonstrate that the cooperation between curvature and the controllable wettability play an important role in water gathering, which regulate effectively the motion of tiny water droplets. In addition, due to the effective cooperation of multi-gradient and multi-scale hydrophilic spindle knots, the length of the three-phase contact line (TCL) can be longer, which makes a great contribution to the improvement of collecting efficiency and water-hanging ability. This study offers a novel insight into the design of smart materials that may control the transport of tiny drops reversibly in directions, which could potentially be extended to the realms of in microfluidics, fog harvesting filtration and condensers designs, and further increase water collection efficiency and hanging ability.
我们通过将聚二甲基硅氧烷(PDMS)和氧化石墨烯(GO)相结合,设计出了一种具有多梯度和多尺度纺锤结的智能仿生纤维。多层石墨烯结构在激光蚀刻后由于粗糙度增加会产生明显的润湿性变化。我们证明曲率与可控润湿性之间的协同作用在水聚集过程中起着重要作用,它有效地调节了微小水滴的运动。此外,由于多梯度和多尺度亲水性纺锤结的有效协同作用,三相接触线(TCL)的长度可以更长,这对提高收集效率和挂水能力有很大贡献。这项研究为智能材料的设计提供了新的见解,这类智能材料可以可逆地控制微小液滴在不同方向上的传输,这有可能扩展到微流体、雾收集过滤和冷凝器设计领域,并进一步提高集水效率和挂水能力。