Ontology type: schema:ScholarlyArticle
2017-06
AUTHORSA. Rosset, G. Plantard, K. Djessas, V. Goetz
ABSTRACTThe most commonly studied and best performing catalysts and catalyst/dopant pairs were used to obtain a panel representative of the response range reported in the literature. Experiments were conducted to assess the photocatalytic performance of the catalysts under controlled irradiation, i.e. simulated sunlight. Our aim is to discriminate catalyst performance according to the nature of the catalyst, the associated dopant, and the spectral domain considered. We opted to express the rates of photocatalytic degradation as a function not of time, as in the case classically found in the literature, but of the number of photons absorbed meaning usable by the catalyst to produce radicals. This mode of representation, expressing the degrading capacity as a function of the number of photons available, allows the comparison and photocatalytic performance assessment of catalysts irrespective of irradiation conditions. Our results show that a catalyst’s performance depends on its characteristics and on the spectral range considered. We found that the constants derived from the kinetics obtained as a function of the number of efficient photons highlighted a very strong dependence on the catalyst’s band gap. More... »
PAGES8739-8748
http://scigraph.springernature.com/pub.10.1007/s10854-017-6599-x
DOIhttp://dx.doi.org/10.1007/s10854-017-6599-x
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1083921346
JSON-LD is the canonical representation for SciGraph data.
TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT
[
{
"@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json",
"about": [
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0306",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Physical Chemistry (incl. Structural)",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/03",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Chemical Sciences",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "University of Perpignan",
"id": "https://www.grid.ac/institutes/grid.11136.34",
"name": [
"Laboratoire Proc\u00e9d\u00e9s Mat\u00e9riaux et Energie Solaire (PROMES)-CNRS, Tecnosud, Rambla de la thermodynamique, 66100, Perpignan, France",
"Universit\u00e9 de Perpignan Via Domitia, 52 avenue Paul Alduy, 68860, Perpignan Cedex 9, France"
],
"type": "Organization"
},
"familyName": "Rosset",
"givenName": "A.",
"id": "sg:person.016551372613.21",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016551372613.21"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Perpignan",
"id": "https://www.grid.ac/institutes/grid.11136.34",
"name": [
"Laboratoire Proc\u00e9d\u00e9s Mat\u00e9riaux et Energie Solaire (PROMES)-CNRS, Tecnosud, Rambla de la thermodynamique, 66100, Perpignan, France",
"Universit\u00e9 de Perpignan Via Domitia, 52 avenue Paul Alduy, 68860, Perpignan Cedex 9, France"
],
"type": "Organization"
},
"familyName": "Plantard",
"givenName": "G.",
"id": "sg:person.014356307365.68",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014356307365.68"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Perpignan",
"id": "https://www.grid.ac/institutes/grid.11136.34",
"name": [
"Laboratoire Proc\u00e9d\u00e9s Mat\u00e9riaux et Energie Solaire (PROMES)-CNRS, Tecnosud, Rambla de la thermodynamique, 66100, Perpignan, France",
"Universit\u00e9 de Perpignan Via Domitia, 52 avenue Paul Alduy, 68860, Perpignan Cedex 9, France"
],
"type": "Organization"
},
"familyName": "Djessas",
"givenName": "K.",
"id": "sg:person.011562712124.54",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011562712124.54"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Laboratoire Proc\u00e9d\u00e9s, Mat\u00e9riaux et Energie Solaire",
"id": "https://www.grid.ac/institutes/grid.463730.5",
"name": [
"Laboratoire Proc\u00e9d\u00e9s Mat\u00e9riaux et Energie Solaire (PROMES)-CNRS, Tecnosud, Rambla de la thermodynamique, 66100, Perpignan, France"
],
"type": "Organization"
},
"familyName": "Goetz",
"givenName": "V.",
"id": "sg:person.01104746652.94",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01104746652.94"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1016/j.apcatb.2011.11.034",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000080702"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3390/molecules190915339",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000708649"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3390/molecules190915339",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000708649"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1021/ie303468t",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1002043086"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.apcatb.2005.02.023",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1006887264"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jphotochem.2013.04.015",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1008813580"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.materresbull.2010.11.011",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1011765246"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0926-3373(01)00335-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1013146039"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.powtec.2013.09.016",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1014439861"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0926-3373(99)00114-9",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015111962"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.apsusc.2014.01.024",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015139032"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.mssp.2011.12.001",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015278313"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.cep.2012.08.002",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1017616558"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.apcatb.2007.09.011",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1017671259"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.matlet.2010.11.016",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018271036"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1021/jz501030x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1019683691"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.solener.2012.10.017",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1019758339"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1126/science.1061051",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1022940491"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jphotochemrev.2005.09.001",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1024258089"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jphotochemrev.2005.09.001",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1024258089"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.tsf.2013.08.109",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1024272023"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.cep.2008.06.013",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1024328427"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.mseb.2012.03.045",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1025027059"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jhazmat.2007.11.010",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1026629400"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.mssp.2015.03.041",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1026722965"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s1010-6030(96)04538-8",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1026832774"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0920-5861(99)00107-8",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027434002"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jallcom.2013.10.003",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028477170"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11244-005-3788-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028587701",
"https://doi.org/10.1007/s11244-005-3788-2"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11244-005-3788-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028587701",
"https://doi.org/10.1007/s11244-005-3788-2"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.tsf.2010.12.197",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1029144642"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0926-3373(02)00270-9",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1029245321"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0926-3373(02)00270-9",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1029245321"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.cherd.2009.10.001",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1036106026"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.chemosphere.2012.12.055",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1036319379"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10800-005-1627-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1038642726",
"https://doi.org/10.1007/s10800-005-1627-6"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10800-005-1627-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1038642726",
"https://doi.org/10.1007/s10800-005-1627-6"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.solener.2011.11.006",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1039860081"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/adfm.201100301",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1040978044"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.molcata.2010.05.012",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1041149267"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.cattod.2009.06.018",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1041504212"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.matlet.2010.10.055",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1041922157"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0920-5861(99)00183-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1044040071"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s1010-6030(00)00225-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1045048212"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.msec.2007.10.006",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1046659836"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.apcatb.2010.05.026",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1046737822"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.matchemphys.2011.12.061",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1047469784"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.apcatb.2006.03.021",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1050249069"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.apcatb.2008.10.025",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051021856"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.cej.2014.04.055",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051207932"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.mssp.2013.03.004",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051632233"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.apcatb.2006.05.011",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051748027"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jphotochem.2011.05.009",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051994867"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s1387-1609(00)01137-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1052980328"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1021/cr00033a004",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1053963872"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1021/cr00035a013",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1053980654"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1021/jp065659r",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1056068289"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1021/jp065659r",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1056068289"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1021/jp209210u",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1056086038"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1021/jp4120964",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1056098886"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1115/1.4004242",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1062144582"
],
"type": "CreativeWork"
}
],
"datePublished": "2017-06",
"datePublishedReg": "2017-06-01",
"description": "The most commonly studied and best performing catalysts and catalyst/dopant pairs were used to obtain a panel representative of the response range reported in the literature. Experiments were conducted to assess the photocatalytic performance of the catalysts under controlled irradiation, i.e. simulated sunlight. Our aim is to discriminate catalyst performance according to the nature of the catalyst, the associated dopant, and the spectral domain considered. We opted to express the rates of photocatalytic degradation as a function not of time, as in the case classically found in the literature, but of the number of photons absorbed meaning usable by the catalyst to produce radicals. This mode of representation, expressing the degrading capacity as a function of the number of photons available, allows the comparison and photocatalytic performance assessment of catalysts irrespective of irradiation conditions. Our results show that a catalyst\u2019s performance depends on its characteristics and on the spectral range considered. We found that the constants derived from the kinetics obtained as a function of the number of efficient photons highlighted a very strong dependence on the catalyst\u2019s band gap.",
"genre": "research_article",
"id": "sg:pub.10.1007/s10854-017-6599-x",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1136825",
"issn": [
"0957-4522",
"1573-482X"
],
"name": "Journal of Materials Science: Materials in Electronics",
"type": "Periodical"
},
{
"issueNumber": "12",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "28"
}
],
"name": "Correlation between gap energy and photocatalytic efficiencies of nanocatalyst under solar irradiation conditions",
"pagination": "8739-8748",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"ccf287cd4d7758f55b5100245383eb2315d18fb91bceda5fc29051dfb14d76ad"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s10854-017-6599-x"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1083921346"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s10854-017-6599-x",
"https://app.dimensions.ai/details/publication/pub.1083921346"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T10:38",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000349_0000000349/records_113676_00000004.jsonl",
"type": "ScholarlyArticle",
"url": "https://link.springer.com/10.1007%2Fs10854-017-6599-x"
}
]Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10854-017-6599-x'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10854-017-6599-x'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10854-017-6599-x'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10854-017-6599-x'
This table displays all metadata directly associated to this object as RDF triples.
253 TRIPLES
21 PREDICATES
82 URIs
19 LITERALS
7 BLANK NODES