Enhanced photocatalytic hydrogen evolution from organic semiconductor heterojunction nanoparticles
Howells, Calvyn Travis
Anjum, Dalaver H.
Gonzalez Lopez, Sandra
DeLongchamp, Dean M.
Durrant, James R.
KAUST DepartmentBiological and Environmental Sciences and Engineering (BESE) Division
Chemical Science Program
Imaging and Characterization Core Lab
KAUST Solar Center (KSC)
Material Science and Engineering
Material Science and Engineering Program
Physical Science and Engineering (PSE) Division
Water Desalination and Reuse Research Center (WDRC)
Online Publication Date2020-02-03
Print Publication Date2020-05
Embargo End Date2020-08-03
Permanent link to this recordhttp://hdl.handle.net/10754/661438
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AbstractPhotocatalysts formed from a single organic semiconductor typically suffer from inefficient intrinsic charge generation, which leads to low photocatalytic activities. We demonstrate that incorporating a heterojunction between a donor polymer (PTB7-Th) and non-fullerene acceptor (EH-IDTBR) in organic nanoparticles (NPs) can result in hydrogen evolution photocatalysts with greatly enhanced photocatalytic activity. Control of the nanomorphology of these NPs was achieved by varying the stabilizing surfactant employed during NP fabrication, converting it from a core-shell structure to an intermixed donor/acceptor blend and increasing H2 evolution by an order of magnitude. The resulting photocatalysts display an unprecedentedly high H2 evolution rate of over 60,000 µmol h-1 g-1 under 350 to 800 nm illumination, and external quantum efficiencies over 6% in the region of maximum solar photon flux.
CitationKosco, J., Bidwell, M., Cha, H., Martin, T., Howells, C. T., Sachs, M., … McCulloch, I. (2020). Enhanced photocatalytic hydrogen evolution from organic semiconductor heterojunction nanoparticles. Nature Materials. doi:10.1038/s41563-019-0591-1
SponsorsThe research reported in this publication was supported by funding from King Abdullah University of Science and Technology Office of Sponsored Research (OSR) under awards no. OSR-2018-CARF/CCF-3079 and no. OSR-2015-CRG4-2572. This work was supported by the nSoft consortium. Certain commercial products or company names are identified here to describe our study adequately. Such identification is not intended to imply recommendation or endorsement by the National Institute of Standards and Technology, nor is it intended to imply that the products or names identified are necessarily the best available for the purpose