Ontology type: schema:ScholarlyArticle Open Access: True
2019-12
AUTHORSZ. Zakaria, S. K. Kamarudin, S. N. Timmiati
ABSTRACTPassive alkaline-direct ethanol fuel cells (alkaline-DEFCs) appear to be suitable for producing sustainable energy for portable devices. However, ethanol crossover is a major challenge for passive alkaline-DEFC systems. This study investigated the performance of a crosslinked quaternized poly (vinyl alcohol)/graphene oxide (QPVA/GO) composite membrane to reduce ethanol permeability, leading in enhancement of passive alkaline-DEFC performance. The chemical and physical structure, morphology, ethanol uptake and permeability, ion exchange capacity, water uptake, and ionic conductivity of the composite membranes were characterized and measured to evaluate their applicability in fuel cells. The transport properties of the membrane were affected by GO loading, with an optimal loading of 15 wt.% and doped with 1 M of KOH showing the lowest ethanol permeability (1.49 × 10-7 cm2 s-1 and 3.65 × 10-7 cm2 s-1 at 30 °C and 60 °C, respectively) and the highest ionic conductivity (1.74 × 10-2 S cm-1 and 6.24 × 10-2 S cm-1 at 30 °C and 60 °C, respectively). In the passive alkaline-DEFCs, the maximum power density was 9.1 mW cm-2, which is higher than commercial Nafion 117/KOH (7.68 mW cm-2) at 30 °C with a 2 M ethanol + 2 M KOH solution. For the 60 °C, the maximum power density of composite membrane achieved was 11.4 mW cm-2. More... »
PAGES28
http://scigraph.springernature.com/pub.10.1186/s11671-018-2836-3
DOIhttp://dx.doi.org/10.1186/s11671-018-2836-3
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1111513018
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/30659414
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/2008/0912",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Materials Engineering",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/09",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Engineering",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "National University of Malaysia",
"id": "https://www.grid.ac/institutes/grid.412113.4",
"name": [
"Fuel Cell Institute, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia"
],
"type": "Organization"
},
"familyName": "Zakaria",
"givenName": "Z.",
"id": "sg:person.010450673072.76",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010450673072.76"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "National University of Malaysia",
"id": "https://www.grid.ac/institutes/grid.412113.4",
"name": [
"Fuel Cell Institute, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia",
"Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia"
],
"type": "Organization"
},
"familyName": "Kamarudin",
"givenName": "S. K.",
"id": "sg:person.01360100142.36",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01360100142.36"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "National University of Malaysia",
"id": "https://www.grid.ac/institutes/grid.412113.4",
"name": [
"Fuel Cell Institute, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia"
],
"type": "Organization"
},
"familyName": "Timmiati",
"givenName": "S. N.",
"id": "sg:person.011611027633.90",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011611027633.90"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1016/j.carbon.2012.07.025",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000603273"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.rser.2013.03.013",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000652112"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jpowsour.2008.06.011",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1006507612"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.ijhydene.2012.09.089",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009174121"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.enconman.2013.08.009",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009223154"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jpowsour.2014.08.071",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009641128"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.memsci.2006.03.025",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009766743"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3390/en9010015",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1010364769"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.ssi.2012.07.010",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1010500639"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.ijhydene.2011.08.044",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1011211991"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.ijhydene.2011.04.150",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1011966919"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jpowsour.2013.03.005",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015116069"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.memsci.2007.12.029",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015220305"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.ijhydene.2009.12.179",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1017189901"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.apenergy.2015.02.002",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1017306553"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jpowsour.2013.12.036",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018366020"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.ijhydene.2013.12.014",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018781966"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.memsci.2013.10.018",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1020034058"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.ssi.2004.07.011",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1020884365"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.energy.2016.04.091",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021100590"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.ijhydene.2014.08.040",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1024197701"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jpowsour.2014.03.105",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1024407581"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.memsci.2007.12.053",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1025070361"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.ijhydene.2015.04.082",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1025491747"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jpowsour.2015.10.108",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1026087880"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.ijhydene.2014.03.061",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027902051"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.memsci.2015.02.043",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028070211"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.memsci.2013.05.001",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028378555"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jpowsour.2013.03.021",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030122997"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.memsci.2008.09.037",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1032441850"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.electacta.2015.02.200",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1033435253"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.rser.2016.07.044",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1035793143"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.synthmet.2009.11.013",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1036607721"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jpowsour.2011.10.020",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1036970730"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/app.37656",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037943947"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11708-010-0127-5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1038241109",
"https://doi.org/10.1007/s11708-010-0127-5"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11708-010-0127-5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1038241109",
"https://doi.org/10.1007/s11708-010-0127-5"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.apenergy.2015.10.124",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1039482495"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.memsci.2016.02.017",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1039669623"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.memsci.2016.02.017",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1039669623"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.carbpol.2010.08.038",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1041147144"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.ijhydene.2011.11.086",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1041939095"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jpowsour.2016.11.117",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1042936181"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.ijhydene.2011.08.002",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1045312214"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jpowsour.2009.10.091",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1045783071"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1149/1.3315169",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1046619258"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.ijhydene.2009.06.027",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048526836"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10800-008-9563-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1049055572",
"https://doi.org/10.1007/s10800-008-9563-x"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jpowsour.2008.06.004",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1050468027"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.memsci.2004.09.017",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051416556"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.ijhydene.2011.09.112",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1052010976"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.apenergy.2014.08.036",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1052395043"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00542-007-0451-9",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1052708605",
"https://doi.org/10.1007/s00542-007-0451-9"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00542-007-0451-9",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1052708605",
"https://doi.org/10.1007/s00542-007-0451-9"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.rser.2016.09.002",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1052906396"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1021/acs.jpcc.6b06301",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1055112399"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1021/jp5080779",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1056102878"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1080/15568310701744133",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1058406978"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.memsci.2017.08.045",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1091236326"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.rser.2017.09.081",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1092001331"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.carbpol.2017.10.023",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1092167327"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.ijhydene.2017.12.012",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1100074224"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1115/1.4039298",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1100990592"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.polymer.2018.02.024",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1101019427"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/s11671-018-2493-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1101520329",
"https://doi.org/10.1186/s11671-018-2493-6"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/s11671-018-2493-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1101520329",
"https://doi.org/10.1186/s11671-018-2493-6"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/s11671-018-2493-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1101520329",
"https://doi.org/10.1186/s11671-018-2493-6"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/s11671-018-2493-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1101520329",
"https://doi.org/10.1186/s11671-018-2493-6"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/app.46666",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1104593530"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/app.46928",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1107147128"
],
"type": "CreativeWork"
}
],
"datePublished": "2019-12",
"datePublishedReg": "2019-12-01",
"description": "Passive alkaline-direct ethanol fuel cells (alkaline-DEFCs) appear to be suitable for producing sustainable energy for portable devices. However, ethanol crossover is a major challenge for passive alkaline-DEFC systems. This study investigated the performance of a crosslinked quaternized poly (vinyl alcohol)/graphene oxide (QPVA/GO) composite membrane to reduce ethanol permeability, leading in enhancement of passive alkaline-DEFC performance. The chemical and physical structure, morphology, ethanol uptake and permeability, ion exchange capacity, water uptake, and ionic conductivity of the composite membranes were characterized and measured to evaluate their applicability in fuel cells. The transport properties of the membrane were affected by GO loading, with an optimal loading of 15\u00a0wt.% and doped with 1\u00a0M of KOH showing the lowest ethanol permeability (1.49\u2009\u00d7\u200910-7\u00a0cm2\u00a0s-1 and 3.65\u2009\u00d7\u200910-7\u00a0cm2\u00a0s-1 at 30\u00a0\u00b0C and 60\u00a0\u00b0C, respectively) and the highest ionic conductivity (1.74\u2009\u00d7\u200910-2\u00a0S\u00a0cm-1 and 6.24\u2009\u00d7\u200910-2\u00a0S\u00a0cm-1 at 30\u00a0\u00b0C and 60\u00a0\u00b0C, respectively). In the passive alkaline-DEFCs, the maximum power density was 9.1\u00a0mW\u00a0cm-2, which is higher than commercial Nafion 117/KOH (7.68\u00a0mW\u00a0cm-2) at 30\u00a0\u00b0C with a 2\u00a0M ethanol +\u20092\u00a0M KOH solution. For the 60\u00a0\u00b0C, the maximum power density of composite membrane achieved was 11.4\u00a0mW\u00a0cm-2.",
"genre": "research_article",
"id": "sg:pub.10.1186/s11671-018-2836-3",
"inLanguage": [
"en"
],
"isAccessibleForFree": true,
"isPartOf": [
{
"id": "sg:journal.1037280",
"issn": [
"1931-7573",
"1556-276X"
],
"name": "Nanoscale Research Letters",
"type": "Periodical"
},
{
"issueNumber": "1",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "14"
}
],
"name": "Influence of Graphene Oxide on the Ethanol Permeability and Ionic Conductivity of QPVA-Based Membrane in Passive Alkaline Direct Ethanol Fuel Cells",
"pagination": "28",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"c0960b140caa110785d95fbc7fafd01b5471dc37520d4570163ff8c6d5dae088"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"30659414"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"101279750"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1186/s11671-018-2836-3"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1111513018"
]
}
],
"sameAs": [
"https://doi.org/10.1186/s11671-018-2836-3",
"https://app.dimensions.ai/details/publication/pub.1111513018"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T08:42",
"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/v90/0000000321_0000000321/records_74940_00000000.jsonl",
"type": "ScholarlyArticle",
"url": "https://link.springer.com/10.1186%2Fs11671-018-2836-3"
}
]
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.10.1186/s11671-018-2836-3'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s11671-018-2836-3'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s11671-018-2836-3'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s11671-018-2836-3'
This table displays all metadata directly associated to this object as RDF triples.
280 TRIPLES
21 PREDICATES
93 URIs
21 LITERALS
9 BLANK NODES