Stramarkou Marina, Tzegiannakis Ioannis, Christoforidi Erifyli, Krokida Magdalini
Laboratory of Process Analysis and Design, School of Chemical Engineering, National Technical University of Athens, 9 Iroon Polytechneiou St. Zografou Campus, 15780 Athens, Greece.
Polymers (Basel). 2024 Feb 14;16(4):514. doi: 10.3390/polym16040514.
Textile production is a major component of the global industry, with sales of over USD 450 billion and estimations of an 84% increase in their demand in the next 20 years. In recent decades, protective and smart textiles have played important roles in the social economy and attracted widespread popularity thanks to their wide spectrum of applications with properties, such as antimicrobial, water-repellent, UV, chemical, and thermal protection. Towards the sustainable manufacturing of smart textiles, biodegradable, recycled, and bio-based plastics are used as alternative raw materials for fabric and yarn production using a wide variety of techniques. While conventional techniques present several drawbacks, nanofibers produced through electrospinning have superior structural properties. Electrospinning is an innovative method for fiber production based on the use of electrostatic force to create charged threads of polymer solutions. Electrospinning shows great potential since it provides control of the size, porosity, and mechanical resistance of the fibers. This review summarizes the advances in the rapidly evolving field of the production of nanofibers for application in smart and protective textiles using electrospinning and environmentally friendly polymers as raw materials, and provides research directions for optimized smart fibers in the future.
纺织品生产是全球产业的一个主要组成部分,销售额超过4500亿美元,预计在未来20年其需求将增长84%。近几十年来,防护性和智能纺织品在社会经济中发挥了重要作用,并因其具有抗菌、防水、防紫外线、化学防护和热防护等多种性能的广泛应用而受到广泛欢迎。为了实现智能纺织品的可持续制造,可生物降解、可回收和生物基塑料被用作织物和纱线生产的替代原材料,采用了多种技术。虽然传统技术存在一些缺点,但通过静电纺丝生产的纳米纤维具有优异的结构性能。静电纺丝是一种基于利用静电力产生聚合物溶液带电细丝的创新纤维生产方法。静电纺丝具有很大的潜力,因为它可以控制纤维的尺寸、孔隙率和机械阻力。本综述总结了使用静电纺丝和环保聚合物作为原材料,在智能和防护纺织品中应用的纳米纤维生产这一快速发展领域的进展,并为未来优化智能纤维提供了研究方向。