Predictions of Pattern Formation in Amino Acid Adlayers at the In Vacuo Graphene Interface: Influence of Termination State
Source abstract
Abstract
Abstract Controlled self‐assembly of biomolecules on graphene offers a pathway for realizing its full potential in biological applications. Microscopy has revealed the self‐assembly of amino acid adlayers into dimer rows on nonreactive substrates. However, neither the spontaneous formation of these patterns, nor the influence of amino acid termination state on the formation of patterns has been directly resolved to date. Molecular dynamics simulations, with the ability to reveal atomic level details and exert full control over the termination state, are used here to model initially disordered adlayers of neutral, zwitterionic, and neutral–zwitterionic mixtures for two types of amino acids, tryptophan and methionine, adsorbed on graphene in vacuo. The simulations of the zwitterion‐containing adlayers exhibit the spontaneous emergence of dimer row ordering, mediated by charge‐driven intermolecular interactions. In contrast, adlayers containing only neutral species do not assemble into ordered patterns. It is also found that the presence of trace amounts of water reduces the interamino acid interactions in the adlayers, but does not induce or disrupt pattern formation. Overall, the findings reveal the balance between the lateral interamino acid interactions and amino acid–graphene interactions, providing foundational insights for ultimately realizing the predictable pattern formation of biomolecules adsorbed on unreactive surfaces.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Molecular Junctions and Nanostructures · Lipid Membrane Structure and Behavior · Advanced biosensing and bioanalysis techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Institute for Frontier Materials Deakin University Geelong VIC 3216 Australia
Funding
Air Force Office of Scientific Research · Australian Research Council
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