e-space
Manchester Metropolitan University's Research Repository

    Biomimetic nucleotide-graphene hybrids for electrocatalytic oxygen conversion: quantifying biomolecule mass loading

    Letona-Elizburu, A, Enterría, M, Aziz, A ORCID logoORCID: https://orcid.org/0000-0002-6723-9871, Villar-Rodil, S, Paredes, JI, Carrasco, J and Ortiz-Vitoriano, N (2024) Biomimetic nucleotide-graphene hybrids for electrocatalytic oxygen conversion: quantifying biomolecule mass loading. Sustainable Materials and Technologies, 39. e00835. ISSN 2214-9937

    [img]
    Preview
    Published Version
    Available under License Creative Commons Attribution Non-commercial No Derivatives.

    Download (8MB) | Preview

    Abstract

    Metal-free electrocatalysts for the electrochemical conversion of gases constitute an important asset for a sustainable energy transition. Nucleotides act as redox mediators in the electron transport chain to reduce oxygen in cellular respiration. The biomimicry of such an efficient natural mechanism could be utilized to address the challenges associated with electrochemical gas conversion technologies, such as sluggish kinetics and high overpotentials. Multiple descriptors are generally reported to benchmark the activity of electrocatalysts where the turnover frequency (TOF) is claimed to be the most accurate criterion. Here, a library of graphene nanosheets-nucleotide hybrid materials was prepared, and the electrocatalytic performance towards ORR/OER reactions of a graphene-flavin mononucleotide hybrid was evaluated by rotating disc electrode experiments and TOF estimation. The determination of catalyst loading and dispersion is especially relevant when assessing the intrinsic activity of a catalyst and, therefore, the amount of nucleotide electrocatalyst loaded into the graphene support was thoroughly quantified by a combination of characterization techniques. Density functional theory calculations supported the observed experimental trends, both on the adsorption rate of a given nucleotide on graphene and the catalytic activity of a specific hybrid material. This work constitutes an avenue to predict nature-mimicking electrocatalysts for efficient energy storage.

    Impact and Reach

    Statistics

    Activity Overview
    6 month trend
    72Downloads
    6 month trend
    23Hits

    Additional statistics for this dataset are available via IRStats2.

    Altmetric

    Repository staff only

    Edit record Edit record