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Optimisation of GraPhage13 Macro-dispersibility Understanding the PH-dependent Ionisation During Self-assembly: Towards the Manufacture of Graphene-based Nanodevices

Overview
Journal Nanoscale
Specialty Biotechnology
Date 2023 Jul 31
PMID 37519099
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Abstract

GraPhage13 aerogels (GPAs) are micro-porous structures generated through the self-assembly of graphene oxide (GO) and M13 bacteriophage. As GPA fabrication involves the aggregation of GO and M13 in aqueous solution, we aim to understand its dispersibility across a wide pH range. Herein, a novel technique has been developed to relate the ionisation of functional groups to the surface charge, offering insights into the conditions required for GPA fabrication and the mechanism behind its self-assembly. The aggregation of GO and M13 was observed between pH 2-6 and exhibited dependence on the surface charge of the resulting aggregate with the M13 bacteriophage identified as the primary factor contributing to this, whilst originating from the ionisation of its functional groups. In contrast, GO exhibited a lesser impact on the surface charge due to the deprotonation of its carboxylic, enolic and phenolic functional groups at pH 6 and above, which falls outside the required pH range for aggregation. These results enhance our understanding of the GPA self-assembly mechanism, the conditions required for their fabrication and the optimal processability, laying the foundation towards its broad range of applications and the subsequent manufacture of graphene-based nanodevices.

Citing Articles

Unveiling the Sorption Properties of Graphene Oxide-M13 Bacteriophage Aerogels for Advanced Sensing and Environmental Applications.

Stokes K, Sun Y, Passaretti P, White H, Goldberg Oppenheimer P ACS Appl Mater Interfaces. 2024; 16(51):70804-70817.

PMID: 39660982 PMC: 11672477. DOI: 10.1021/acsami.4c16202.


Conductivity optimisation of graphene oxide-M13 bacteriophage nanocomposites: towards graphene-based gas micronano-sensors.

Stokes K, Sun Y, Thomas J, Passaretti P, White H, Goldberg Oppenheimer P Discov Nano. 2024; 19(1):152.

PMID: 39289302 PMC: 11408459. DOI: 10.1186/s11671-024-04101-w.

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