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基于木质纤维素的水分诱导发电的最新进展:制备、性能与应用。

Recent advances in moisture-induced electricity generation based on wood lignocellulose: Preparation, properties, and applications.

机构信息

School of Environmental and Nature Resources, Zhejiang University of Science and Technology, Hangzhou, Zhejiang 310023, China.

School of Environmental and Nature Resources, Zhejiang University of Science and Technology, Hangzhou, Zhejiang 310023, China.

出版信息

Int J Biol Macromol. 2024 Nov;279(Pt 2):135258. doi: 10.1016/j.ijbiomac.2024.135258. Epub 2024 Sep 2.

DOI:10.1016/j.ijbiomac.2024.135258
PMID:39233166
Abstract

Moisture-induced electricity generation (MEG), which can directly harvest electricity from moisture, is considered as an effective strategy for alleviating the growing energy crisis. Recently, tremendous efforts have been devoted to developing MEG active materials from wood lignocellulose (WLC) due to its excellent properties including environmental friendliness, sustainability, and biodegradability. This review comprehensively summarizes the recent advances in MEG based on WLC (wood, cellulose, lignin, and woody biochar), covering its principles, preparation, performances, and applications. In detail, the basic working mechanisms of MEG are discussed, and the natural features of WLC and their significant advantages in the fabrication of MEG active materials are emphasized. Furthermore, the recent advances in WLC-based MEG for harvesting electrical energy from moisture are specifically discussed, together with their potential applications (sensors and power sources). Finally, the main challenges of current WLC-based MEG are presented, as well as the potential solutions or directions to develop highly efficient MEG from WLC.

摘要

水分诱导发电(MEG)可以直接从水分中获取电能,被认为是缓解日益严重的能源危机的有效策略。由于木材木质纤维素(WLC)具有环保、可持续和可生物降解等优良特性,最近人们投入了大量精力来开发基于 WLC 的 MEG 活性材料。本综述全面总结了基于 WLC(木材、纤维素、木质素和木质生物炭)的 MEG 的最新进展,涵盖了其原理、制备、性能和应用。具体而言,讨论了 MEG 的基本工作机制,并强调了 WLC 的天然特征及其在 MEG 活性材料制备中的显著优势。此外,还专门讨论了基于 WLC 的 MEG 从水分中收集电能的最新进展,以及它们在传感器和电源等方面的潜在应用。最后,提出了当前基于 WLC 的 MEG 面临的主要挑战,以及开发高效 MEG 从 WLC 的潜在解决方案或方向。

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