Molecular dynamics modelling of the stress–strain response of β-sheet nanocrystals

IF 3.1 3区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
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Abstract

Molecular dynamics simulations were conducted on two model antiparallel β-sheet crystallites [GA]n and [GAS]n to study deformation in chain, sheet stacking, and hydrogen bonding directions under uniaxial loading. In chain direction, both models were mechanically stable, even beyond the 570 K amorphousation temperature of silk fiber; however, [GA]n model displayed higher yield strain, stress, elastic modulus, and resilience than [GAS]n. In transverse directions, they had similar stress–strain behavior and demonstrated significant anisotropic mechanical behavior. Hence, inclusion of an amino acid with a rich side chain group extending between β-sheets reduces the stiffness of crystallite in chain direction. Serine and alanine residues maintained existing H-bonds and established new ones during stretching in chain direction and shrinking in transverse directions which affected the mechanical response near the yield point. Comparison between β-sheet crystallite and PPTA (Kevlar) showed that the mechanical performance of these crystal polymers were very similar in chain direction, but contrarily β-sheet crystallite had higher stiffness in H-bonding and sheet stacking directions than PPTA. This study may provide a guideline in designing of polyaminoacid based biocompatible materials with superior mechanical performance.

Abstract Image

β片状纳米晶体应力-应变响应的分子动力学建模
对两种反平行β片状晶体模型[GA]n和[GAS]n进行了分子动力学模拟,以研究在单轴载荷作用下链向、片状堆积和氢键方向的变形。在链方向上,两种模型都具有机械稳定性,甚至超过了丝纤维 570 K 的非晶化温度;但是,[GA]n 模型的屈服应变、应力、弹性模量和回弹性均高于 [GAS]n。在横向上,它们具有相似的应力-应变行为,并表现出明显的各向异性机械行为。因此,在β片之间加入具有丰富侧链基团的氨基酸会降低晶粒在链方向上的刚度。丝氨酸和丙氨酸残基在链向拉伸和横向收缩过程中保持了现有的 H 键并建立了新的 H 键,这影响了屈服点附近的机械响应。β片状结晶与 PPTA(凯芙拉)的比较表明,这两种晶体聚合物在链方向上的机械性能非常相似,但β片状结晶在 H 键和片状堆积方向上的刚度却高于 PPTA。这项研究可为设计具有优异机械性能的聚氨基酸基生物兼容材料提供指导。
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来源期刊
Computational Materials Science
Computational Materials Science 工程技术-材料科学:综合
CiteScore
6.50
自引率
6.10%
发文量
665
审稿时长
26 days
期刊介绍: The goal of Computational Materials Science is to report on results that provide new or unique insights into, or significantly expand our understanding of, the properties of materials or phenomena associated with their design, synthesis, processing, characterization, and utilization. To be relevant to the journal, the results should be applied or applicable to specific material systems that are discussed within the submission.
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