Table · dataset · 2026
Exchange Current Densities of and Minority Carrier Fluxes to Catalyst Nanoparticles on Photoelectrodes from Intensity Modulated Photocurrent Spectroscopy
Listed in ZivaHub and Deakin Research Online and DMU Figshare — shown once because both records carry DOI 10.1021/acsmeasuresciau.6c00287.s001
The photoelectrochemical production of chemicals is a promising approach to replace greenhouse gas-emitting production processes.
Description
Here, an illuminated semiconducting photoelectrode provides the electrochemical potential difference to drive the targeted electrochemical reaction. Since the catalytic activity of the pristine surface is typically limited, co-catalysts are integrated on the electrochemical interface to reduce overpotentials and their form of nanoparticles avoids parasitic light absorption.
The classical approach for the choice of the catalyst is based on the activity of the bulk metal electrode, but a quantification of the catalytic activity of the deposited nanoparticle catalysts is usually not done. This can be attributed to the fact that, for photoelectrodes, standard electrochemical methods do not allow for a direct evaluation of the catalytic activity of the co-catalysts. Using intensity modulated photocurrent spectroscopy, we develop a method to quantify the catalytic activity of nanoparticle catalysts on photoelectrodes.
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We obtain Tafel plots, analogously to the quantification of the catalytic activity of bulk metal electrodes. From that, we derive the exchange current density of the photoelectrode. Therefore, a comparison of the catalytic activity with the bulk material of the nanoparticles and the evaluation of catalytic activities of different nanoparticle materials become possible.
Furthermore, we obtain plots correlating the light-generated minority carrier flux with the band bending in the semiconducting material. These plots give direct insight into the ability of the semiconducting material to generate and separate electron–hole pairs and helps to identify performance bottlenecks of photoelectrochemical interfaces.
Links
Where it is published
- DOI doi.org/10.1021/acsmeasuresciau.6c00287.s001 ↗
DOI / persistent id · from zivahub uct ac za
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from zivahub uct ac za
Topics
- From keywords
- Astronomy & Astrophysics · Astronomy & Astrophysics · Astronomy & Astrophysics · Biochemistry and cell biology · Biochemistry and cell biology · Biochemistry and cell biology · Bioinformatics and computational biology · Bioinformatics and computational biology · Bioinformatics and computational biology · Chemistry · Chemistry · Chemistry · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Life Sciences · Life Sciences · Life Sciences · Medicine & Health · Medicine & Health · Medicine & Health · Research, science and technology policy · Research, science and technology policy · Research, science and technology policy
Provenance · 3 source records, 29 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ZivaHub | oai:figshare.com:article/34041402 | 12 d ago | JSON v1 |
| Deakin Research Online | oai:figshare.com:article/34041402 | 12 d ago | JSON v1 |
| DMU Figshare | oai:figshare.com:article/34041402 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
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| concepts[field].anzsrc:field:440710 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Science Policy'] |
| concepts[field].anzsrc:field:440710 | mapping · dro deakin edu au | vocabulary-mapper@1.0.0 | keywords['Science Policy'] |
| concepts[field].anzsrc:group:3101 | mapping · dro deakin edu au | vocabulary-mapper@1.0.0 | keywords['Cell Biology'] |
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| concepts[field].anzsrc:group:3101 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Cell Biology'] |
| concepts[field].anzsrc:group:3102 | mapping · figshare dmu ac uk | vocabulary-mapper@1.0.0 | keywords['Computational Biology'] |
| concepts[field].anzsrc:group:3102 | mapping · dro deakin edu au | vocabulary-mapper@1.0.0 | keywords['Computational Biology'] |
| concepts[field].anzsrc:group:3102 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Computational Biology'] |
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| concepts[field].local:field:medicine-health | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| description | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/description |
| license | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/rights |
| publication_date | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| title | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/title |