Computational Investigation of Amino-Acid Functionalized Boron Nitride Nanostructures

Posted: 7 Oct 2022 Last revised: 11 Jul 2023

See all articles by Shweta Dabhi

Shweta Dabhi

affiliation not provided to SSRN

Prafulla Jha

affiliation not provided to SSRN

Abstract

The single amino acid detection which are constituent of protein are attractive auxiliaries for which atomic level interaction with nanomaterials can be studied using first-principles calculations. Boron nitride based nanostructures have been in the front line for these applications. Understanding the underlying physics at the interface near boron nitride based nanostructures and amino acid is a key to their use in nano-biotechnology and medical engineering. In the present study, we have used the state-of-the-art dispersion corrected density functional theory calculations to understand the structural properties, adsorption behavior (physisorption/chemisorption), and electronic properties of different amino acids decorated 1D BNNT and 2D h-BN sheet. Investigation of electronic properties and adsorption energies will play a key role in targeted drug delivery, enzyme activities and proteomics. Our results shows that Lysine has strong adsorption over h-BN following trend Lys > Asp > Ser > Ala > Gly; while for BNNT, it follows the trend as Lys > Ser > Ala > Gly > Asp.

Suggested Citation

Dabhi, Shweta and Jha, Prafulla, Computational Investigation of Amino-Acid Functionalized Boron Nitride Nanostructures. SEVENTH INTERNATIONAL CONFERENCE ON MULTIFUNCTIONAL, HYBRID & NANOMATERIALS (HYMA 2022), Available at SSRN: https://ssrn.com/abstract=4240873

Shweta Dabhi (Contact Author)

affiliation not provided to SSRN ( email )

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Prafulla Jha

affiliation not provided to SSRN

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