Zachariah Suji Mary, Naseem Sobia, Rizwan Muhammad, Nair Gopika G, Grohens Yves, Sadiqa Ayesha, Ahmad Awais, Thomas Sabu
International and Inter-University Centre for Nanoscience and Nanotechnology (IIUCNN), Mahatma Gandhi University, Kottayam, Kerala 686 560, India; University Bretagne Sud, UMR CNRS 6027, IRDL, 56100 Lorient, France.
Department of Chemistry, University of Engineering & Technology Lahore, Pakistan; Department of Polymer and Process Engineering, University of Engineering & Technology Lahore, Pakistan.
Int J Biol Macromol. 2025 Mar;292:139127. doi: 10.1016/j.ijbiomac.2024.139127. Epub 2024 Dec 26.
Cellulose paper-based composites represent a promising and sustainable alternative for electromagnetic interference (EMI) shielding applications. Derived from renewable and biodegradable cellulose fibers, these composites are enhanced with conductive fillers namely carbon nanotubes, graphene, or metallic nanoparticles, achieving efficient EMI shielding while maintaining environmental friendliness. Their lightweight, flexible nature, and mechanical robustness make them ideal for diverse applications, including wearable electronics, flexible circuits, and green electronics. This paper explores the fabrication techniques, composite properties, with particular emphasis on ways to enhance the shielding properties, and performance metrics of cellulose-based composites, highlighting their potential to replace traditional metallic materials in various EMI shielding scenarios, thus contributing to the development of eco-friendly and high-performance electronic devices. Despite advancements, challenges such as achieving uniform filler dispersion and scalability of eco-friendly production methods persist, limiting industrial application.
纤维素纸基复合材料是电磁干扰(EMI)屏蔽应用中一种有前景的可持续替代材料。这些复合材料由可再生且可生物降解的纤维素纤维制成,并通过碳纳米管、石墨烯或金属纳米颗粒等导电填料增强,在保持环境友好性的同时实现了高效的EMI屏蔽。它们重量轻、性质灵活且机械强度高,使其成为包括可穿戴电子设备、柔性电路和绿色电子设备在内的各种应用的理想选择。本文探讨了纤维素基复合材料的制造技术、复合性能,特别强调了增强屏蔽性能的方法以及性能指标,突出了它们在各种EMI屏蔽场景中替代传统金属材料的潜力,从而有助于开发环保且高性能的电子设备。尽管取得了进展,但诸如实现填料均匀分散和环保生产方法的可扩展性等挑战仍然存在,限制了其工业应用。