Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/160568
Title: Mechanics of biosurfactant aided liquid phase exfoliation of 2D materials
Authors: Qian, Xuliang
Lucherelli, Matteo Andrea
Corcelle, Céline
Bianco, Alberto
Gao, Huajian
Keywords: Engineering::Nanotechnology
Engineering::Mechanical engineering::Mechanics and dynamics
Engineering::Mathematics and analysis::Simulations
Issue Date: 2022
Source: Qian, X., Lucherelli, M. A., Corcelle, C., Bianco, A. & Gao, H. (2022). Mechanics of biosurfactant aided liquid phase exfoliation of 2D materials. Forces in Mechanics, 8, 100098-. https://dx.doi.org/10.1016/j.finmec.2022.100098
Project: MOE-T1-020565-00001
ANR-15-GRFL-0001-05 (G-Immunomics)
ANR-10-LABX-0026_CSC
Journal: Forces in Mechanics
Abstract: Biosurfactant-aided liquid-phase exfoliation (LPE) is emerging as a biocompatible, green, economical, safe, and efficient approach to prepare two-dimensional (2D) materials for biomedical applications. However, relatively little is known about the molecular mechanisms of this process. Herein, we present the first study of how flavin mononucleotide (FMN) interacts with hexagonal boron nitride (hBN) nanosheets in the context of LPE. We demonstrate that FMN molecules can self-assemble on hBN via π-π interactions, as well as intermolecular hydrogen bonds (H-bonds) between the isoalloxazine moieties. Binding free energy analysis has shown FMN to be an efficient surfactant for LPE of hBN in water. According to the theoretical simulations, stable water suspension of hBN were experimentally obtained by LPE using FMN. With this work, we aim to exemplify how molecular dynamics (MD) simulation can predict and guide empirical LPE experiments, direct the surfactant screening and improve scalable production of 2D materials for biomedical applications.
URI: https://hdl.handle.net/10356/160568
ISSN: 2666-3597
DOI: 10.1016/j.finmec.2022.100098
Schools: School of Mechanical and Aerospace Engineering 
Organisations: Institute of High Performance Computing, A*STAR
Rights: © 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MAE Journal Articles

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