Suppr超能文献

基于叶酸的凝聚层形成用于多种湿态和干态基材粘附的双面胶带。

Folic Acid-Based Coacervate Leading to a Double-Sided Tape for Adhesion of Diverse Wet and Dry Substrates.

作者信息

Gao Shuitao, Wang Wenkai, Wu Tongyue, Jiang Shasha, Qi Jinwan, Zhu Zhiyang, Zhang Bin, Huang Jianbin, Yan Yun

机构信息

College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China.

出版信息

ACS Appl Mater Interfaces. 2021 Jul 28;13(29):34843-34850. doi: 10.1021/acsami.1c06844. Epub 2021 Jul 13.

Abstract

Adhesives are crucial both in nature and in diversified artificial fields, and developing environment-friendly adhesives with economic procedures remains a great challenge. We report that folic acid-based coacervates can be a new category of excellent adhesives for all kinds of surfaces with long-lasting adhesiveness. Aided by the electrostatic interaction between the π-π stacked folic acid quartets and polycations, the resultant coacervates are able to interact with diversified substrates via a polyvalent hydrogen bond, coordination, and electrostatic interactions. The adhesivity to wood is superior to the strong commercial glues, but without releasing any toxic components. Upon evaporating water, the coacervate can be casted into a non-adhesive flexible self-supporting film, which restores the adhesive coacervate immediately on contacting water with original adhesive ability. In this way, the coacervate can be facilely tailored into a double-sided tape (DST), which is convenient for storage and application under ambient conditions. Given its excellent adhesive performance, release of nontoxic gases, and convenience in storage and application, the folic acid-based DST is very promising as a new adhesive material.

摘要

粘合剂在自然界和多样化的人工领域都至关重要,开发具有经济工艺的环保型粘合剂仍然是一项巨大挑战。我们报道基于叶酸的凝聚层可以成为一类新型的、对各种表面具有持久粘附性的优良粘合剂。在π-π堆积的叶酸四重奏与聚阳离子之间的静电相互作用的辅助下,所得凝聚层能够通过多价氢键、配位和静电相互作用与多种底物相互作用。对木材的粘附性优于强力商业胶水,但不释放任何有毒成分。水分蒸发后,凝聚层可浇铸成非粘性的柔性自支撑膜,该膜在接触水时会立即恢复具有原始粘附能力的粘性凝聚层。通过这种方式,凝聚层可以很容易地制成双面胶带(DST),便于在环境条件下储存和应用。鉴于其优异的粘附性能、无毒气体释放以及储存和应用的便利性,基于叶酸的DST作为一种新型粘合材料非常有前景。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验