Ontology type: schema:ScholarlyArticle
2022-05-09
AUTHORSTingting Li, Fang Wang, Liangshu Xia
ABSTRACTUranium, as a highly toxic radioactive contaminant existing in mine wastewater and contaminated groundwater, has sparked widespread alarm in recent years. This work demonstrates the technological possibility of recovering uranium from aqueous solutions using potassium titanium ferrocyanide (KTiFC). The adsorption behavior, kinetics, isotherms, and thermodynamic investigations were systematically examined. The maximum capacities were achieved at pH3.8, and KTiFC was proven to be stable across a wide pH range. The adsorption process was best represented by a pseudo-second order rate equation and the Langmuir isotherm model, with 90% of the uranium eliminated in 60 min. The adsorption process was endothermic and spontaneous, adsorption efficiency of uranium is highly related to water temperature. The integrated analysis of EDS, ICP-OES, FTIR and XPS suggested that chemisorption combined with ion exchange between K and U can describe the adsorption mechanism of uranium sorption on KTiFC. This study points the way toward developing effective and low-cost materials with practical functionality for uranium extraction from polluted water. More... »
PAGES1-11
http://scigraph.springernature.com/pub.10.1007/s10967-022-08314-0
DOIhttp://dx.doi.org/10.1007/s10967-022-08314-0
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1147740173
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/2008/03",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Chemical Sciences",
"type": "DefinedTerm"
},
{
"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"
}
],
"author": [
{
"affiliation": {
"alternateName": "School of Nuclear Science and Technology, University of South China, 421001, Hengyang, China",
"id": "http://www.grid.ac/institutes/grid.412017.1",
"name": [
"School of Nuclear Science and Technology, University of South China, 421001, Hengyang, China"
],
"type": "Organization"
},
"familyName": "Li",
"givenName": "Tingting",
"id": "sg:person.013236374631.25",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013236374631.25"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "School of Nuclear Science and Technology, University of South China, 421001, Hengyang, China",
"id": "http://www.grid.ac/institutes/grid.412017.1",
"name": [
"School of Nuclear Science and Technology, University of South China, 421001, Hengyang, China"
],
"type": "Organization"
},
"familyName": "Wang",
"givenName": "Fang",
"type": "Person"
},
{
"affiliation": {
"alternateName": "School of Nuclear Science and Technology, University of South China, 421001, Hengyang, China",
"id": "http://www.grid.ac/institutes/grid.412017.1",
"name": [
"School of Nuclear Science and Technology, University of South China, 421001, Hengyang, China"
],
"type": "Organization"
},
"familyName": "Xia",
"givenName": "Liangshu",
"id": "sg:person.012105401417.69",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012105401417.69"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1007/s10967-017-5279-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1085561360",
"https://doi.org/10.1007/s10967-017-5279-x"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10967-014-3876-5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1001304323",
"https://doi.org/10.1007/s10967-014-3876-5"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11356-018-04093-y",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1111269724",
"https://doi.org/10.1007/s11356-018-04093-y"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10967-021-07766-0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1138543408",
"https://doi.org/10.1007/s10967-021-07766-0"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s13204-021-01721-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1136479800",
"https://doi.org/10.1007/s13204-021-01721-x"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10904-019-01303-z",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1120742221",
"https://doi.org/10.1007/s10904-019-01303-z"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10904-021-02200-0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1144785346",
"https://doi.org/10.1007/s10904-021-02200-0"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11356-013-1788-5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1004165934",
"https://doi.org/10.1007/s11356-013-1788-5"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10967-015-4108-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1029223882",
"https://doi.org/10.1007/s10967-015-4108-3"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10967-021-07812-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1140126741",
"https://doi.org/10.1007/s10967-021-07812-x"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/s41598-021-01133-5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1142358668",
"https://doi.org/10.1038/s41598-021-01133-5"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10967-021-07964-w",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1140707190",
"https://doi.org/10.1007/s10967-021-07964-w"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10967-014-3459-5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1032771153",
"https://doi.org/10.1007/s10967-014-3459-5"
],
"type": "CreativeWork"
}
],
"datePublished": "2022-05-09",
"datePublishedReg": "2022-05-09",
"description": "Uranium, as a highly toxic radioactive contaminant existing in mine wastewater and contaminated groundwater, has sparked widespread alarm in recent years. This work demonstrates the technological possibility of recovering uranium from aqueous solutions using potassium titanium ferrocyanide (KTiFC). The adsorption behavior, kinetics, isotherms, and thermodynamic investigations were systematically examined. The maximum capacities were achieved at pH3.8, and KTiFC was proven to be stable across a wide pH range. The adsorption process was best represented by a pseudo-second order rate equation and the Langmuir isotherm model, with 90% of the uranium eliminated in 60\u00a0min. The adsorption process was endothermic and spontaneous, adsorption efficiency of uranium is highly related to water temperature. The integrated analysis of EDS, ICP-OES, FTIR and XPS suggested that chemisorption combined with ion exchange between K and U can describe the adsorption mechanism of uranium sorption on KTiFC. This study points the way toward developing effective and low-cost materials with practical functionality for uranium extraction from polluted water.",
"genre": "article",
"id": "sg:pub.10.1007/s10967-022-08314-0",
"inLanguage": "en",
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1094634",
"issn": [
"0236-5731",
"1588-2780"
],
"name": "Journal of Radioanalytical and Nuclear Chemistry",
"publisher": "Springer Nature",
"type": "Periodical"
}
],
"keywords": [
"adsorption process",
"low-cost materials",
"removal of uranium",
"Langmuir isotherm model",
"pseudo-second order rate equation",
"order rate equation",
"mine wastewater",
"adsorption efficiency",
"aqueous solution",
"uranium extraction",
"isotherm model",
"adsorption mechanism",
"adsorption behavior",
"polluted water",
"uranium sorption",
"maximum capacity",
"practical functionality",
"ion exchange",
"thermodynamic investigation",
"radioactive contaminants",
"technological possibilities",
"water temperature",
"rate equations",
"efficiency",
"uranium",
"wastewater",
"ICP-OES",
"EDS",
"solution",
"isotherms",
"XPS",
"temperature",
"materials",
"process",
"sorption",
"FTIR",
"pH3.8",
"contaminants",
"water",
"chemisorption",
"ferrocyanide",
"removal",
"applications",
"equations",
"recent years",
"kinetics",
"alarms",
"extraction",
"groundwater",
"behavior",
"functionality",
"range",
"capacity",
"work",
"investigation",
"model",
"mechanism",
"min",
"possibility",
"analysis",
"integrated analysis",
"way",
"exchange",
"study",
"years",
"widespread alarm"
],
"name": "Application of potassium titanium ferrocyanide for the removal of uranium from aqueous solution: Efficiency and mechanism",
"pagination": "1-11",
"productId": [
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1147740173"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s10967-022-08314-0"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s10967-022-08314-0",
"https://app.dimensions.ai/details/publication/pub.1147740173"
],
"sdDataset": "articles",
"sdDatePublished": "2022-06-01T22:25",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-springernature-scigraph/baseset/20220601/entities/gbq_results/article/article_927.jsonl",
"type": "ScholarlyArticle",
"url": "https://doi.org/10.1007/s10967-022-08314-0"
}
]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/s10967-022-08314-0'
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/s10967-022-08314-0'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10967-022-08314-0'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10967-022-08314-0'
This table displays all metadata directly associated to this object as RDF triples.
183 TRIPLES
22 PREDICATES
102 URIs
81 LITERALS
4 BLANK NODES