Wu Ronghui, Kim Taesung
Department of Mechanical Engineering, Ulsan National Institute of Science and Technology (UNIST), 50 UNIST-gil, Ulsan 44919, Republic of Korea.
Lab Chip. 2021 Apr 7;21(7):1217-1240. doi: 10.1039/d0lc01208d. Epub 2021 Mar 12.
Shape characteristics, which include the physical dimensions (scale), apparent morphology, surface features, and structure, are essential factors of fibrous materials and determine many of their properties. Microfluidic technologies have recently been proposed as an approach for producing one-dimensional (1D) fibers with controllable shape characteristics and particle alignment, which impart specific functionality to the fiber. Moreover, superfine 1D fibers with a high surface area and ordered structure have many potential applications as they can be directly braided or woven into textiles, clothes, and tissues with two- or three-dimensional (2D or 3D) structures. Previous reviews of microfluidic spinning have not focus on the importance of the shape characteristic on fiber performance and their use in intelligent fiber design. Here, the latest achievements in microfluidic approaches for fiber-device fabrication are reviewed considering the underlying preparation principles, shape characteristics, and functionalization of the fibers. Additionally, intelligent fiber devices with shapes tailored by microfluidic approaches are discussed, including 1D sensors and actuators, luminous fibers, and devices for encoding, energy harvesting, water collection, and tissue engineering applications. Finally, recent progress, challenges, and future perspectives of the microfluidic approaches for fiber device fabrication are discussed.
形状特征包括物理尺寸(尺度)、表观形态、表面特征和结构,是纤维材料的重要因素,并决定了它们的许多性能。微流控技术最近被提出作为一种生产具有可控形状特征和颗粒排列的一维(1D)纤维的方法,这些特征赋予了纤维特定的功能。此外,具有高表面积和有序结构的超细一维纤维有许多潜在应用,因为它们可以直接编织或织成具有二维或三维(2D或3D)结构的纺织品、衣服和组织。以前关于微流控纺丝的综述没有关注形状特征对纤维性能的重要性以及它们在智能纤维设计中的应用。在此,考虑到纤维的基本制备原理、形状特征和功能化,对用于纤维器件制造的微流控方法的最新成果进行了综述。此外,还讨论了通过微流控方法定制形状的智能纤维器件,包括一维传感器和致动器、发光纤维以及用于编码、能量收集、集水和组织工程应用的器件。最后,讨论了用于纤维器件制造的微流控方法的最新进展、挑战和未来前景。