Self-assembly of sustainable plant protein protofilaments into a hydrogel for ultra-low friction across length scales
Year: 2024
Type: article
Abstract: Designing plant protein-based aqueous lubricants can be of great potential to achieve sustainability objectives by capitalising on inherent functional groups without using synthetic chemicals; however, such a concept remains in its infancy. Here, we engineer a class of self-assembled sustainable materials by using plant-based protofilaments and their assembly within a biopolymeric hydrogel giving rise to a distinct patchy architecture. By leveraging physical interactions, this material offers superlubricity with friction coefficients of 0.004-to-0.00007 achieved under moderate-to-high (102-to-103 kPa) contact pressures. Multiscale experimental measurements combined with molecular dynamics simulations reveal an intriguing synergistic mechanism behind such ultra-low friction - where the uncoated areas of the protofilaments glue to the surface by hydrophobic interactions, whilst the hydrogel offers the hydration lubrication. The current approach establishes a robust platform towards unlocking an untapped potential of using plant protein-based building blocks across diverse applications where achieving superlubricity and environmental sustainability are key performance indicators.
Source: Communications Materials
Institutions: University of Leeds, Weizmann Institute of Science, King's College London, Rutherford Appleton Laboratory, Science and Technology Facilities Council, ISIS Neutron and Muon Source, AgroParisTech, Université Paris-Saclay, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, Paris-Saclay Food and Bioproduct Engineering Research Unit, Unilever (United Kingdom)
Language: English
Subfield: Mechanical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $3,490
Awards: G1689194922, G2417521991, MicroLub: A novel microgel-based superlubricating formulation for fat replacement applications, G3108985476, G4310665315, G434337789, G5214689270, G5370456699, G6177927430, World class Science and Innovation with Neutrons in Europe 2020 – SINE2020, G6271517897, IMR-MIP DANSE - Distributed Data Analysis for Neutron Scattering Experiments - CNST, G8380713174, A new high-performance aqueous lubricant formulation for soft bio-contact surfaces
OpenAlex ID: W4402200176
