Pd supported on carbon containing nickel, nitrogen and sulfur for ethanol electrooxidation View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-12

AUTHORS

Zi-Rui Yang, Shang-Qing Wang, Jing Wang, Ai-Ju Zhou, Chang-Wei Xu

ABSTRACT

Carbon material containing nickel, nitrogen and sulfur (Ni-NSC) has been synthesized using metal-organic frameworks (MOFs) as precursor by annealing treatment with a size from 200 to 300 nm. Pd nanoparticles supported on the Ni-NSC (Pd/Ni-NSC) are used as electrocatalysts for ethanol oxidation in alkaline media. Due to the synergistic effect between Pd and Ni, S, N, free OH radicals can form on the surface of Ni, N and S atoms at lower potentials, which react with CH3CO intermediate species on the Pd surface to produce CH3COO- and release the active sites. On the other hand, the stronger binding force between Pd and co-doped N and S is responsible for enhancing dispersion and preventing agglomeration of the Pd nanoparticles. The Pd(20 wt%)/Ni-NSC shows better electrochemical performance of ethanol oxidation than the traditional commercial Pd(20 wt%)/C catalyst. Onset potential on the Pd(20 wt%)/Ni-NSC electrode is 36 mV more negative compared with that on the commercial Pd(20 wt%)/C electrode. The Pd(20 wt%)/Ni-NSC in this paper demonstrates to have excellent electrocatalytic properties and is considered as a promising catalyst in alkaline direct ethanol fuel cells. More... »

PAGES

15479

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-017-15060-x

DOI

http://dx.doi.org/10.1038/s41598-017-15060-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1092580989

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29133796


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

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": "Guangzhou University", 
          "id": "https://www.grid.ac/institutes/grid.411863.9", 
          "name": [
            "Guangzhou Key Laboratory for Environmentally Functional Materials and Technology, School of Chemistry and Chemical Engineering, Guangzhou University, 510006, Guangzhou, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yang", 
        "givenName": "Zi-Rui", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Guangzhou University", 
          "id": "https://www.grid.ac/institutes/grid.411863.9", 
          "name": [
            "Guangzhou Key Laboratory for Environmentally Functional Materials and Technology, School of Chemistry and Chemical Engineering, Guangzhou University, 510006, Guangzhou, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "Shang-Qing", 
        "id": "sg:person.015240656057.27", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015240656057.27"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Guangzhou University", 
          "id": "https://www.grid.ac/institutes/grid.411863.9", 
          "name": [
            "Guangzhou Key Laboratory for Environmentally Functional Materials and Technology, School of Chemistry and Chemical Engineering, Guangzhou University, 510006, Guangzhou, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "Jing", 
        "id": "sg:person.014730554631.27", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014730554631.27"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Guangzhou University", 
          "id": "https://www.grid.ac/institutes/grid.411863.9", 
          "name": [
            "Guangzhou Key Laboratory for Environmentally Functional Materials and Technology, School of Chemistry and Chemical Engineering, Guangzhou University, 510006, Guangzhou, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhou", 
        "givenName": "Ai-Ju", 
        "id": "sg:person.01122114570.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01122114570.46"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Guangzhou University", 
          "id": "https://www.grid.ac/institutes/grid.411863.9", 
          "name": [
            "Guangzhou Key Laboratory for Environmentally Functional Materials and Technology, School of Chemistry and Chemical Engineering, Guangzhou University, 510006, Guangzhou, China", 
            "Guangzhou Key Laboratory for New Energy and Green Catalysis, Guangzhou University, 510006, Guangzhou, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Xu", 
        "givenName": "Chang-Wei", 
        "id": "sg:person.01201257113.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01201257113.32"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.jpowsour.2014.10.147", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002237815"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.electacta.2016.12.052", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002612816"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.electacta.2016.12.052", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002612816"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.electacta.2016.12.052", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002612816"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.electacta.2016.12.052", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002612816"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.joei.2015.03.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003919188"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/am300923s", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005157091"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c5ta06039g", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005266688"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.rser.2016.07.040", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005402016"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.electacta.2008.10.034", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009140555"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c6ra14321k", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010363158"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep01181", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010811393", 
          "https://doi.org/10.1038/srep01181"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ja512973b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011480093"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijhydene.2015.01.101", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012269789"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1212741", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012726391"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep24330", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017495485", 
          "https://doi.org/10.1038/srep24330"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.elecom.2005.11.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018098499"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncomms14136", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018914364", 
          "https://doi.org/10.1038/ncomms14136"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c5cc06551h", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019717320"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.elecom.2006.12.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022187210"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/fuce.201600153", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026768781"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jpowsour.2006.10.071", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031675007"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.nanoen.2015.11.027", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032471030"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c3ta12708g", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035578733"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c5ta08585c", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037196326"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.electacta.2007.10.036", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037624509"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.apcatb.2016.06.022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038818945"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c5ee00762c", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039082655"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/anie.201005745", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039111421"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.fuel.2016.11.033", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040033042"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.electacta.2009.07.021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041592239"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijhydene.2016.09.060", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042522938"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c4cc06206j", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048564432"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijhydene.2015.12.145", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048630429"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c5ta03900b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051373846"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.carbon.2016.04.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051530362"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.electacta.2016.04.021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052046513"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/cr9000995", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054056032"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/cr9000995", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054056032"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/acsami.6b01580", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055129785"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/acscatal.6b02263", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055134605"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/acsnano.5b01790", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055137014"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/cs500462z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055422726"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ja052951o", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055839264"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ja052951o", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055839264"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ja203709t", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055850060"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ja203709t", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055850060"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s40820-017-0129-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083827816", 
          "https://doi.org/10.1007/s40820-017-0129-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s40820-017-0129-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083827816", 
          "https://doi.org/10.1007/s40820-017-0129-5"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-12", 
    "datePublishedReg": "2017-12-01", 
    "description": "Carbon material containing nickel, nitrogen and sulfur (Ni-NSC) has been synthesized using metal-organic frameworks (MOFs) as precursor by annealing treatment with a size from 200 to 300\u2009nm. Pd nanoparticles supported on the Ni-NSC (Pd/Ni-NSC) are used as electrocatalysts for ethanol oxidation in alkaline media. Due to the synergistic effect between Pd and Ni, S, N, free OH radicals can form on the surface of Ni, N and S atoms at lower potentials, which react with CH3CO intermediate species on the Pd surface to produce CH3COO- and release the active sites. On the other hand, the stronger binding force between Pd and co-doped N and S is responsible for enhancing dispersion and preventing agglomeration of the Pd nanoparticles. The Pd(20\u2009wt%)/Ni-NSC shows better electrochemical performance of ethanol oxidation than the traditional commercial Pd(20\u2009wt%)/C catalyst. Onset potential on the Pd(20\u2009wt%)/Ni-NSC electrode is 36\u2009mV more negative compared with that on the commercial Pd(20\u2009wt%)/C electrode. The Pd(20\u2009wt%)/Ni-NSC in this paper demonstrates to have excellent electrocatalytic properties and is considered as a promising catalyst in alkaline direct ethanol fuel cells.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/s41598-017-15060-x", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1045337", 
        "issn": [
          "2045-2322"
        ], 
        "name": "Scientific Reports", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "7"
      }
    ], 
    "name": "Pd supported on carbon containing nickel, nitrogen and sulfur for ethanol electrooxidation", 
    "pagination": "15479", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "44e4c55fd43b473a22079799bc3ef7093fd97a0ece44cb978cb57d1854229c3d"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "29133796"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101563288"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s41598-017-15060-x"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1092580989"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s41598-017-15060-x", 
      "https://app.dimensions.ai/details/publication/pub.1092580989"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T00:31", 
    "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/v90/0000000001_0000000264/records_8695_00000609.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/s41598-017-15060-x"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

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.10.1038/s41598-017-15060-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.10.1038/s41598-017-15060-x'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-017-15060-x'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-017-15060-x'


 

This table displays all metadata directly associated to this object as RDF triples.

226 TRIPLES      21 PREDICATES      71 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s41598-017-15060-x schema:about anzsrc-for:03
2 anzsrc-for:0306
3 schema:author Nddee0729f90540df81d656f7b4e1d80f
4 schema:citation sg:pub.10.1007/s40820-017-0129-5
5 sg:pub.10.1038/ncomms14136
6 sg:pub.10.1038/srep01181
7 sg:pub.10.1038/srep24330
8 https://doi.org/10.1002/anie.201005745
9 https://doi.org/10.1002/fuce.201600153
10 https://doi.org/10.1016/j.apcatb.2016.06.022
11 https://doi.org/10.1016/j.carbon.2016.04.003
12 https://doi.org/10.1016/j.elecom.2005.11.013
13 https://doi.org/10.1016/j.elecom.2006.12.003
14 https://doi.org/10.1016/j.electacta.2007.10.036
15 https://doi.org/10.1016/j.electacta.2008.10.034
16 https://doi.org/10.1016/j.electacta.2009.07.021
17 https://doi.org/10.1016/j.electacta.2016.04.021
18 https://doi.org/10.1016/j.electacta.2016.12.052
19 https://doi.org/10.1016/j.fuel.2016.11.033
20 https://doi.org/10.1016/j.ijhydene.2015.01.101
21 https://doi.org/10.1016/j.ijhydene.2015.12.145
22 https://doi.org/10.1016/j.ijhydene.2016.09.060
23 https://doi.org/10.1016/j.joei.2015.03.011
24 https://doi.org/10.1016/j.jpowsour.2006.10.071
25 https://doi.org/10.1016/j.jpowsour.2014.10.147
26 https://doi.org/10.1016/j.nanoen.2015.11.027
27 https://doi.org/10.1016/j.rser.2016.07.040
28 https://doi.org/10.1021/acsami.6b01580
29 https://doi.org/10.1021/acscatal.6b02263
30 https://doi.org/10.1021/acsnano.5b01790
31 https://doi.org/10.1021/am300923s
32 https://doi.org/10.1021/cr9000995
33 https://doi.org/10.1021/cs500462z
34 https://doi.org/10.1021/ja052951o
35 https://doi.org/10.1021/ja203709t
36 https://doi.org/10.1021/ja512973b
37 https://doi.org/10.1039/c3ta12708g
38 https://doi.org/10.1039/c4cc06206j
39 https://doi.org/10.1039/c5cc06551h
40 https://doi.org/10.1039/c5ee00762c
41 https://doi.org/10.1039/c5ta03900b
42 https://doi.org/10.1039/c5ta06039g
43 https://doi.org/10.1039/c5ta08585c
44 https://doi.org/10.1039/c6ra14321k
45 https://doi.org/10.1126/science.1212741
46 schema:datePublished 2017-12
47 schema:datePublishedReg 2017-12-01
48 schema:description Carbon material containing nickel, nitrogen and sulfur (Ni-NSC) has been synthesized using metal-organic frameworks (MOFs) as precursor by annealing treatment with a size from 200 to 300 nm. Pd nanoparticles supported on the Ni-NSC (Pd/Ni-NSC) are used as electrocatalysts for ethanol oxidation in alkaline media. Due to the synergistic effect between Pd and Ni, S, N, free OH radicals can form on the surface of Ni, N and S atoms at lower potentials, which react with CH<sub>3</sub>CO intermediate species on the Pd surface to produce CH<sub>3</sub>COO<sup>-</sup> and release the active sites. On the other hand, the stronger binding force between Pd and co-doped N and S is responsible for enhancing dispersion and preventing agglomeration of the Pd nanoparticles. The Pd(20 wt%)/Ni-NSC shows better electrochemical performance of ethanol oxidation than the traditional commercial Pd(20 wt%)/C catalyst. Onset potential on the Pd(20 wt%)/Ni-NSC electrode is 36 mV more negative compared with that on the commercial Pd(20 wt%)/C electrode. The Pd(20 wt%)/Ni-NSC in this paper demonstrates to have excellent electrocatalytic properties and is considered as a promising catalyst in alkaline direct ethanol fuel cells.
49 schema:genre research_article
50 schema:inLanguage en
51 schema:isAccessibleForFree true
52 schema:isPartOf N3dcc3826f2ce440e8bb13558e96e9d7a
53 N8a1edf89c8b64718bf326d71cda9dc27
54 sg:journal.1045337
55 schema:name Pd supported on carbon containing nickel, nitrogen and sulfur for ethanol electrooxidation
56 schema:pagination 15479
57 schema:productId N034fdf3d4ca74376b271bf03228e9426
58 N7130158ab6c1412385a24ecf32c2d878
59 Ncd7ff6efb5c04b66a0781f053836906e
60 Ndbb5cd68b7474fb2b0745cdc1de8f43a
61 Nf7f90f9850a543b084b10a19296ec442
62 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092580989
63 https://doi.org/10.1038/s41598-017-15060-x
64 schema:sdDatePublished 2019-04-11T00:31
65 schema:sdLicense https://scigraph.springernature.com/explorer/license/
66 schema:sdPublisher Nbc8e137fd89a493db19f157434dd7bd3
67 schema:url https://www.nature.com/articles/s41598-017-15060-x
68 sgo:license sg:explorer/license/
69 sgo:sdDataset articles
70 rdf:type schema:ScholarlyArticle
71 N034fdf3d4ca74376b271bf03228e9426 schema:name dimensions_id
72 schema:value pub.1092580989
73 rdf:type schema:PropertyValue
74 N3dcc3826f2ce440e8bb13558e96e9d7a schema:volumeNumber 7
75 rdf:type schema:PublicationVolume
76 N4dae18c7cb884bde9aa73a64572f17ca rdf:first sg:person.014730554631.27
77 rdf:rest N91878072d6454b2b999f65e167f22c04
78 N7130158ab6c1412385a24ecf32c2d878 schema:name pubmed_id
79 schema:value 29133796
80 rdf:type schema:PropertyValue
81 N76889f97acb2430cbc6b8da302b2808a rdf:first sg:person.015240656057.27
82 rdf:rest N4dae18c7cb884bde9aa73a64572f17ca
83 N8a1edf89c8b64718bf326d71cda9dc27 schema:issueNumber 1
84 rdf:type schema:PublicationIssue
85 N8e8e5c5be6a84d16996d47899019cdf1 schema:affiliation https://www.grid.ac/institutes/grid.411863.9
86 schema:familyName Yang
87 schema:givenName Zi-Rui
88 rdf:type schema:Person
89 N91878072d6454b2b999f65e167f22c04 rdf:first sg:person.01122114570.46
90 rdf:rest Nffdf4fe0583849929e7492bc8d8209b9
91 Nbc8e137fd89a493db19f157434dd7bd3 schema:name Springer Nature - SN SciGraph project
92 rdf:type schema:Organization
93 Ncd7ff6efb5c04b66a0781f053836906e schema:name nlm_unique_id
94 schema:value 101563288
95 rdf:type schema:PropertyValue
96 Ndbb5cd68b7474fb2b0745cdc1de8f43a schema:name readcube_id
97 schema:value 44e4c55fd43b473a22079799bc3ef7093fd97a0ece44cb978cb57d1854229c3d
98 rdf:type schema:PropertyValue
99 Nddee0729f90540df81d656f7b4e1d80f rdf:first N8e8e5c5be6a84d16996d47899019cdf1
100 rdf:rest N76889f97acb2430cbc6b8da302b2808a
101 Nf7f90f9850a543b084b10a19296ec442 schema:name doi
102 schema:value 10.1038/s41598-017-15060-x
103 rdf:type schema:PropertyValue
104 Nffdf4fe0583849929e7492bc8d8209b9 rdf:first sg:person.01201257113.32
105 rdf:rest rdf:nil
106 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
107 schema:name Chemical Sciences
108 rdf:type schema:DefinedTerm
109 anzsrc-for:0306 schema:inDefinedTermSet anzsrc-for:
110 schema:name Physical Chemistry (incl. Structural)
111 rdf:type schema:DefinedTerm
112 sg:journal.1045337 schema:issn 2045-2322
113 schema:name Scientific Reports
114 rdf:type schema:Periodical
115 sg:person.01122114570.46 schema:affiliation https://www.grid.ac/institutes/grid.411863.9
116 schema:familyName Zhou
117 schema:givenName Ai-Ju
118 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01122114570.46
119 rdf:type schema:Person
120 sg:person.01201257113.32 schema:affiliation https://www.grid.ac/institutes/grid.411863.9
121 schema:familyName Xu
122 schema:givenName Chang-Wei
123 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01201257113.32
124 rdf:type schema:Person
125 sg:person.014730554631.27 schema:affiliation https://www.grid.ac/institutes/grid.411863.9
126 schema:familyName Wang
127 schema:givenName Jing
128 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014730554631.27
129 rdf:type schema:Person
130 sg:person.015240656057.27 schema:affiliation https://www.grid.ac/institutes/grid.411863.9
131 schema:familyName Wang
132 schema:givenName Shang-Qing
133 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015240656057.27
134 rdf:type schema:Person
135 sg:pub.10.1007/s40820-017-0129-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083827816
136 https://doi.org/10.1007/s40820-017-0129-5
137 rdf:type schema:CreativeWork
138 sg:pub.10.1038/ncomms14136 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018914364
139 https://doi.org/10.1038/ncomms14136
140 rdf:type schema:CreativeWork
141 sg:pub.10.1038/srep01181 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010811393
142 https://doi.org/10.1038/srep01181
143 rdf:type schema:CreativeWork
144 sg:pub.10.1038/srep24330 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017495485
145 https://doi.org/10.1038/srep24330
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1002/anie.201005745 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039111421
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1002/fuce.201600153 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026768781
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1016/j.apcatb.2016.06.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038818945
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1016/j.carbon.2016.04.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051530362
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1016/j.elecom.2005.11.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018098499
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1016/j.elecom.2006.12.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022187210
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1016/j.electacta.2007.10.036 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037624509
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1016/j.electacta.2008.10.034 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009140555
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1016/j.electacta.2009.07.021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041592239
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1016/j.electacta.2016.04.021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052046513
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1016/j.electacta.2016.12.052 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002612816
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1016/j.fuel.2016.11.033 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040033042
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1016/j.ijhydene.2015.01.101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012269789
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1016/j.ijhydene.2015.12.145 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048630429
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1016/j.ijhydene.2016.09.060 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042522938
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1016/j.joei.2015.03.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003919188
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1016/j.jpowsour.2006.10.071 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031675007
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1016/j.jpowsour.2014.10.147 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002237815
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1016/j.nanoen.2015.11.027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032471030
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1016/j.rser.2016.07.040 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005402016
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1021/acsami.6b01580 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055129785
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1021/acscatal.6b02263 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055134605
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1021/acsnano.5b01790 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055137014
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1021/am300923s schema:sameAs https://app.dimensions.ai/details/publication/pub.1005157091
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1021/cr9000995 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054056032
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1021/cs500462z schema:sameAs https://app.dimensions.ai/details/publication/pub.1055422726
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1021/ja052951o schema:sameAs https://app.dimensions.ai/details/publication/pub.1055839264
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1021/ja203709t schema:sameAs https://app.dimensions.ai/details/publication/pub.1055850060
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1021/ja512973b schema:sameAs https://app.dimensions.ai/details/publication/pub.1011480093
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1039/c3ta12708g schema:sameAs https://app.dimensions.ai/details/publication/pub.1035578733
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1039/c4cc06206j schema:sameAs https://app.dimensions.ai/details/publication/pub.1048564432
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1039/c5cc06551h schema:sameAs https://app.dimensions.ai/details/publication/pub.1019717320
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1039/c5ee00762c schema:sameAs https://app.dimensions.ai/details/publication/pub.1039082655
212 rdf:type schema:CreativeWork
213 https://doi.org/10.1039/c5ta03900b schema:sameAs https://app.dimensions.ai/details/publication/pub.1051373846
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1039/c5ta06039g schema:sameAs https://app.dimensions.ai/details/publication/pub.1005266688
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1039/c5ta08585c schema:sameAs https://app.dimensions.ai/details/publication/pub.1037196326
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1039/c6ra14321k schema:sameAs https://app.dimensions.ai/details/publication/pub.1010363158
220 rdf:type schema:CreativeWork
221 https://doi.org/10.1126/science.1212741 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012726391
222 rdf:type schema:CreativeWork
223 https://www.grid.ac/institutes/grid.411863.9 schema:alternateName Guangzhou University
224 schema:name Guangzhou Key Laboratory for Environmentally Functional Materials and Technology, School of Chemistry and Chemical Engineering, Guangzhou University, 510006, Guangzhou, China
225 Guangzhou Key Laboratory for New Energy and Green Catalysis, Guangzhou University, 510006, Guangzhou, China
226 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...