Carbon Dioxide Capture by Computationally Designed Self-Assembled Amyloid Biomaterials

Publication Year:
2017
Usage 232
Abstract Views 232
Repository URL:
http://hdl.handle.net/1969.1/166104
Author(s):
Kwak, Yeonsu
Tags:
biomaterial; carbon capture; peptides; scaffolds; self-assembly
thesis / dissertation description
Various materials capturing CO? have been developed for addressing the threat of climate change. Recently, physical adsorbents are proposed as strong alternatives for conventional chemical absorbents with high regeneration energy; however, the former usually has an issue of low stability especially in humid condition. Herein, it is shown that amyloid biomaterials from novel computational design are effectual for CO? capture. After the computational design and validation using in-house protocol to capture multiple CO? molecules per peptide, self-assembling amyloid biomaterials are fabricated from promising peptides. Breakthrough measurement articulates that the biomaterials can selectively capture carbon dioxide over nitrogen. Unit CO? uptake demonstrates that computational approach on the mechanism of CO? capture is compatible with experimental result. 100? is sufficient temperature to regenerate the biomaterials, where the additional vacuum swing can be supportive. Computational secondary structural analysis verifies that designed peptides inherently retain stable structure rich in ?-sheets. All the results show that proposed biomaterials are strong alternative, and the novel computational method can be the new criterion for CO? adsorbent design.