Synthesis of reduced graphene oxide/Co3O4 nanocomposite electrode material for sensor application View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-02-26

AUTHORS

G. Vinodhkumar, R. Ramya, I. Vetha Potheher, M. Vimalan, A. Cyrac Peter

ABSTRACT

A sensitive electrochemical sensor has been developed based on reduced graphene oxide/Co3O4 (rGO/Co3O4) nanocomposites (NCs) synthesized by a facile solvothermal method. The developed sensor was used to determine the Dopamine Acid (DA) and Uric Acid (UA). The structure, morphology, band gap and composition of NCs was characterized by powder X-ray diffraction, scanning electron microscope, UV–Vis-Diffuse reflectance, FT-IR, Raman and Energy Dispersive Spectroscopy. rGO/Co3O4 NCs exhibited better electrocatalytic activity for the oxidation of DA and UA in solution with phosphate buffer at pH 7.0. For individual determination, the oxidation peak currents were linearly increased with the concentration of DA and UA in the ranges of 0.5–10 μM and 100 μM–1 mM, respectively. The detection limit of DA and UA was estimated to be 0.176 μM and 1.31 μM, respectively, with (S/N = 3). The fabricated modified electrode displayed an excellent anti-interference ability against 100-fold higher concentration of potential interferent species and metal ions with good stability and reproducibility. Results show that the developed sensor has a potential to determine the target analytes in real samples with satisfactory efficiency. More... »

PAGES

1-19

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11164-019-03777-5

DOI

http://dx.doi.org/10.1007/s11164-019-03777-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112392161


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": {
          "name": [
            "Department of Physics, Raja Doraisingam Govt. Arts College, Sivaganga, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vinodhkumar", 
        "givenName": "G.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Alagappa University", 
          "id": "https://www.grid.ac/institutes/grid.411312.4", 
          "name": [
            "Department of Bioelectronics and Biosensors, Alagappa University, Karaikudi, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ramya", 
        "givenName": "R.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Anna University, Chennai", 
          "id": "https://www.grid.ac/institutes/grid.252262.3", 
          "name": [
            "Department of Physics, University College of Engineering, Bhrathidasan Institute of Technology (BIT) Campus, Anna University, Tiruchirappalli, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Potheher", 
        "givenName": "I. Vetha", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Anna University, Chennai", 
          "id": "https://www.grid.ac/institutes/grid.252262.3", 
          "name": [
            "Department of Physics, Thirumalai Engineering College, Kilambi, Kancheepuram, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vimalan", 
        "givenName": "M.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Physics, Raja Doraisingam Govt. Arts College, Sivaganga, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Peter", 
        "givenName": "A. Cyrac", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1021/cr300115g", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000405039"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl072838r", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000422744"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl072838r", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000422744"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature04233", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001061831", 
          "https://doi.org/10.1038/nature04233"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature04233", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001061831", 
          "https://doi.org/10.1038/nature04233"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature04233", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001061831", 
          "https://doi.org/10.1038/nature04233"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.snb.2016.07.111", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002545743"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.materresbull.2012.04.070", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004032307"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/elan.201000094", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005073374"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/elan.201000094", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005073374"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jpowsour.2015.04.029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006185899"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bioelechem.2008.12.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007086999"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.elecom.2010.11.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008274546"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/22243682.2013.771917", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009134736"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c2ra22360k", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012975323"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.talanta.2007.05.049", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014049929"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.apenergy.2015.02.091", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014999932"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c4ra08952a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015849815"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ab.2008.06.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017867440"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c3cy01025b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018131099"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.matchar.2010.02.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019368990"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.aca.2008.02.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020725003"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11051-016-3544-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021043410", 
          "https://doi.org/10.1007/s11051-016-3544-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11051-016-3544-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021043410", 
          "https://doi.org/10.1007/s11051-016-3544-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/mame.201000307", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021181363"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/cr900070d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023661959"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/cr900070d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023661959"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/elan.201000545", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024508933"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c3ta01498c", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024981619"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/cm981085u", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027099600"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/cm981085u", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027099600"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jp909756r", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030220341"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jp909756r", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030220341"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bios.2010.02.031", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030699596"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.snb.2014.02.034", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032404725"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/tcr.200900008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035650742"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/tcr.200900008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035650742"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c3nj01471a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037364524"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c2cp43673f", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038342021"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.electacta.2013.05.121", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040315135"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl801827v", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040491531"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl801827v", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040491531"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.synthmet.2014.07.025", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041058799"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.matchemphys.2011.07.043", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041440695"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jp906348x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043142092"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jp906348x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043142092"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c5ta02608c", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044717803"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.electacta.2013.08.056", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046433860"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c0an00590h", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046911066"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c0an00590h", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046911066"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adfm.200900167", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047940422"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adfm.200900167", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047940422"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adfm.200900167", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047940422"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0006-8993(85)90785-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050921859"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0006-8993(85)90785-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050921859"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jssc.2009.08.033", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050970745"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c5ra05612h", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051021089"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmat1849", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052791836", 
          "https://doi.org/10.1038/nmat1849"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep02300", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053202609", 
          "https://doi.org/10.1038/srep02300"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac00232a020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054982939"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac00235a029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054983165"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac00249a046", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054984700"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac50008a001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055006176"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac50064a035", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055014131"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ja01539a017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055805656"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00604-017-2269-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085127168", 
          "https://doi.org/10.1007/s00604-017-2269-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00604-017-2269-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085127168", 
          "https://doi.org/10.1007/s00604-017-2269-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.pnsc.2017.09.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092168824"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-02-26", 
    "datePublishedReg": "2019-02-26", 
    "description": "A sensitive electrochemical sensor has been developed based on reduced graphene oxide/Co3O4 (rGO/Co3O4) nanocomposites (NCs) synthesized by a facile solvothermal method. The developed sensor was used to determine the Dopamine Acid (DA) and Uric Acid (UA). The structure, morphology, band gap and composition of NCs was characterized by powder X-ray diffraction, scanning electron microscope, UV\u2013Vis-Diffuse reflectance, FT-IR, Raman and Energy Dispersive Spectroscopy. rGO/Co3O4 NCs exhibited better electrocatalytic activity for the oxidation of DA and UA in solution with phosphate buffer at pH 7.0. For individual determination, the oxidation peak currents were linearly increased with the concentration of DA and UA in the ranges of 0.5\u201310 \u03bcM and 100 \u03bcM\u20131 mM, respectively. The detection limit of DA and UA was estimated to be 0.176 \u03bcM and 1.31 \u03bcM, respectively, with (S/N = 3). The fabricated modified electrode displayed an excellent anti-interference ability against 100-fold higher concentration of potential interferent species and metal ions with good stability and reproducibility. Results show that the developed sensor has a potential to determine the target analytes in real samples with satisfactory efficiency.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11164-019-03777-5", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1127880", 
        "issn": [
          "0922-6168", 
          "1568-5675"
        ], 
        "name": "Research on Chemical Intermediates", 
        "type": "Periodical"
      }
    ], 
    "name": "Synthesis of reduced graphene oxide/Co3O4 nanocomposite electrode material for sensor application", 
    "pagination": "1-19", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "680ebd4907b887035a90623d394dea4b3268e65e0894857d789f9fa33e6b7558"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11164-019-03777-5"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112392161"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11164-019-03777-5", 
      "https://app.dimensions.ai/details/publication/pub.1112392161"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T10:04", 
    "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/v90/0000000347_0000000347/records_89826_00000004.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs11164-019-03777-5"
  }
]
 

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.10.1007/s11164-019-03777-5'

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/s11164-019-03777-5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11164-019-03777-5'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11164-019-03777-5'


 

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

247 TRIPLES      21 PREDICATES      76 URIs      16 LITERALS      5 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11164-019-03777-5 schema:about anzsrc-for:03
2 anzsrc-for:0306
3 schema:author N3682d23a5cbd43e9a7faa355266ff87c
4 schema:citation sg:pub.10.1007/s00604-017-2269-1
5 sg:pub.10.1007/s11051-016-3544-5
6 sg:pub.10.1038/nature04233
7 sg:pub.10.1038/nmat1849
8 sg:pub.10.1038/srep02300
9 https://doi.org/10.1002/adfm.200900167
10 https://doi.org/10.1002/elan.201000094
11 https://doi.org/10.1002/elan.201000545
12 https://doi.org/10.1002/mame.201000307
13 https://doi.org/10.1002/tcr.200900008
14 https://doi.org/10.1016/0006-8993(85)90785-1
15 https://doi.org/10.1016/j.ab.2008.06.004
16 https://doi.org/10.1016/j.aca.2008.02.017
17 https://doi.org/10.1016/j.apenergy.2015.02.091
18 https://doi.org/10.1016/j.bioelechem.2008.12.005
19 https://doi.org/10.1016/j.bios.2010.02.031
20 https://doi.org/10.1016/j.elecom.2010.11.005
21 https://doi.org/10.1016/j.electacta.2013.05.121
22 https://doi.org/10.1016/j.electacta.2013.08.056
23 https://doi.org/10.1016/j.jpowsour.2015.04.029
24 https://doi.org/10.1016/j.jssc.2009.08.033
25 https://doi.org/10.1016/j.matchar.2010.02.017
26 https://doi.org/10.1016/j.matchemphys.2011.07.043
27 https://doi.org/10.1016/j.materresbull.2012.04.070
28 https://doi.org/10.1016/j.pnsc.2017.09.001
29 https://doi.org/10.1016/j.snb.2014.02.034
30 https://doi.org/10.1016/j.snb.2016.07.111
31 https://doi.org/10.1016/j.synthmet.2014.07.025
32 https://doi.org/10.1016/j.talanta.2007.05.049
33 https://doi.org/10.1021/ac00232a020
34 https://doi.org/10.1021/ac00235a029
35 https://doi.org/10.1021/ac00249a046
36 https://doi.org/10.1021/ac50008a001
37 https://doi.org/10.1021/ac50064a035
38 https://doi.org/10.1021/cm981085u
39 https://doi.org/10.1021/cr300115g
40 https://doi.org/10.1021/cr900070d
41 https://doi.org/10.1021/ja01539a017
42 https://doi.org/10.1021/jp906348x
43 https://doi.org/10.1021/jp909756r
44 https://doi.org/10.1021/nl072838r
45 https://doi.org/10.1021/nl801827v
46 https://doi.org/10.1039/c0an00590h
47 https://doi.org/10.1039/c2cp43673f
48 https://doi.org/10.1039/c2ra22360k
49 https://doi.org/10.1039/c3cy01025b
50 https://doi.org/10.1039/c3nj01471a
51 https://doi.org/10.1039/c3ta01498c
52 https://doi.org/10.1039/c4ra08952a
53 https://doi.org/10.1039/c5ra05612h
54 https://doi.org/10.1039/c5ta02608c
55 https://doi.org/10.1080/22243682.2013.771917
56 schema:datePublished 2019-02-26
57 schema:datePublishedReg 2019-02-26
58 schema:description A sensitive electrochemical sensor has been developed based on reduced graphene oxide/Co3O4 (rGO/Co3O4) nanocomposites (NCs) synthesized by a facile solvothermal method. The developed sensor was used to determine the Dopamine Acid (DA) and Uric Acid (UA). The structure, morphology, band gap and composition of NCs was characterized by powder X-ray diffraction, scanning electron microscope, UV–Vis-Diffuse reflectance, FT-IR, Raman and Energy Dispersive Spectroscopy. rGO/Co3O4 NCs exhibited better electrocatalytic activity for the oxidation of DA and UA in solution with phosphate buffer at pH 7.0. For individual determination, the oxidation peak currents were linearly increased with the concentration of DA and UA in the ranges of 0.5–10 μM and 100 μM–1 mM, respectively. The detection limit of DA and UA was estimated to be 0.176 μM and 1.31 μM, respectively, with (S/N = 3). The fabricated modified electrode displayed an excellent anti-interference ability against 100-fold higher concentration of potential interferent species and metal ions with good stability and reproducibility. Results show that the developed sensor has a potential to determine the target analytes in real samples with satisfactory efficiency.
59 schema:genre research_article
60 schema:inLanguage en
61 schema:isAccessibleForFree false
62 schema:isPartOf sg:journal.1127880
63 schema:name Synthesis of reduced graphene oxide/Co3O4 nanocomposite electrode material for sensor application
64 schema:pagination 1-19
65 schema:productId Na7a07b1bfcb14684956b777eca731f3c
66 Naf87c35a2247400faf042579a803ebba
67 Nbf5b25c9c04a45be8c61a53783b283d9
68 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112392161
69 https://doi.org/10.1007/s11164-019-03777-5
70 schema:sdDatePublished 2019-04-11T10:04
71 schema:sdLicense https://scigraph.springernature.com/explorer/license/
72 schema:sdPublisher Nc4a55324a4c94d1d826467d8ff49d517
73 schema:url https://link.springer.com/10.1007%2Fs11164-019-03777-5
74 sgo:license sg:explorer/license/
75 sgo:sdDataset articles
76 rdf:type schema:ScholarlyArticle
77 N2b7d12d795e1401794d17c363dcc0bc4 rdf:first Nccf4f76c4fce4763970145fc26e3b5cc
78 rdf:rest N587fe04f5b2b414aaf15897a5c5744e9
79 N3682d23a5cbd43e9a7faa355266ff87c rdf:first Ne6b84862fbea4fadb50340a0973975e0
80 rdf:rest Nc19c8d2ab95c47c0bd3386dc22e50397
81 N587fe04f5b2b414aaf15897a5c5744e9 rdf:first Nd0ac8ad468b2406a83f7ba589f42b790
82 rdf:rest rdf:nil
83 N7ead91dd4f4142cda1183e3b3f324d9a schema:name Department of Physics, Raja Doraisingam Govt. Arts College, Sivaganga, India
84 rdf:type schema:Organization
85 N9a9aee6a0fdf493ca62bec1d4537373b schema:affiliation https://www.grid.ac/institutes/grid.252262.3
86 schema:familyName Potheher
87 schema:givenName I. Vetha
88 rdf:type schema:Person
89 Na0cad46869ec416ca05f20adf14ba9da schema:name Department of Physics, Raja Doraisingam Govt. Arts College, Sivaganga, India
90 rdf:type schema:Organization
91 Na7a07b1bfcb14684956b777eca731f3c schema:name readcube_id
92 schema:value 680ebd4907b887035a90623d394dea4b3268e65e0894857d789f9fa33e6b7558
93 rdf:type schema:PropertyValue
94 Nabd10f9b23734ba3856e249d00762cec rdf:first N9a9aee6a0fdf493ca62bec1d4537373b
95 rdf:rest N2b7d12d795e1401794d17c363dcc0bc4
96 Naf87c35a2247400faf042579a803ebba schema:name dimensions_id
97 schema:value pub.1112392161
98 rdf:type schema:PropertyValue
99 Nbf5b25c9c04a45be8c61a53783b283d9 schema:name doi
100 schema:value 10.1007/s11164-019-03777-5
101 rdf:type schema:PropertyValue
102 Nc19c8d2ab95c47c0bd3386dc22e50397 rdf:first Nd029d2efcc60417b923cf46000338c50
103 rdf:rest Nabd10f9b23734ba3856e249d00762cec
104 Nc4a55324a4c94d1d826467d8ff49d517 schema:name Springer Nature - SN SciGraph project
105 rdf:type schema:Organization
106 Nccf4f76c4fce4763970145fc26e3b5cc schema:affiliation https://www.grid.ac/institutes/grid.252262.3
107 schema:familyName Vimalan
108 schema:givenName M.
109 rdf:type schema:Person
110 Nd029d2efcc60417b923cf46000338c50 schema:affiliation https://www.grid.ac/institutes/grid.411312.4
111 schema:familyName Ramya
112 schema:givenName R.
113 rdf:type schema:Person
114 Nd0ac8ad468b2406a83f7ba589f42b790 schema:affiliation Na0cad46869ec416ca05f20adf14ba9da
115 schema:familyName Peter
116 schema:givenName A. Cyrac
117 rdf:type schema:Person
118 Ne6b84862fbea4fadb50340a0973975e0 schema:affiliation N7ead91dd4f4142cda1183e3b3f324d9a
119 schema:familyName Vinodhkumar
120 schema:givenName G.
121 rdf:type schema:Person
122 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
123 schema:name Chemical Sciences
124 rdf:type schema:DefinedTerm
125 anzsrc-for:0306 schema:inDefinedTermSet anzsrc-for:
126 schema:name Physical Chemistry (incl. Structural)
127 rdf:type schema:DefinedTerm
128 sg:journal.1127880 schema:issn 0922-6168
129 1568-5675
130 schema:name Research on Chemical Intermediates
131 rdf:type schema:Periodical
132 sg:pub.10.1007/s00604-017-2269-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085127168
133 https://doi.org/10.1007/s00604-017-2269-1
134 rdf:type schema:CreativeWork
135 sg:pub.10.1007/s11051-016-3544-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021043410
136 https://doi.org/10.1007/s11051-016-3544-5
137 rdf:type schema:CreativeWork
138 sg:pub.10.1038/nature04233 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001061831
139 https://doi.org/10.1038/nature04233
140 rdf:type schema:CreativeWork
141 sg:pub.10.1038/nmat1849 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052791836
142 https://doi.org/10.1038/nmat1849
143 rdf:type schema:CreativeWork
144 sg:pub.10.1038/srep02300 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053202609
145 https://doi.org/10.1038/srep02300
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1002/adfm.200900167 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047940422
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1002/elan.201000094 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005073374
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1002/elan.201000545 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024508933
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1002/mame.201000307 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021181363
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1002/tcr.200900008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035650742
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1016/0006-8993(85)90785-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050921859
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1016/j.ab.2008.06.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017867440
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1016/j.aca.2008.02.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020725003
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1016/j.apenergy.2015.02.091 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014999932
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1016/j.bioelechem.2008.12.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007086999
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1016/j.bios.2010.02.031 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030699596
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1016/j.elecom.2010.11.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008274546
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1016/j.electacta.2013.05.121 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040315135
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1016/j.electacta.2013.08.056 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046433860
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1016/j.jpowsour.2015.04.029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006185899
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1016/j.jssc.2009.08.033 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050970745
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1016/j.matchar.2010.02.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019368990
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1016/j.matchemphys.2011.07.043 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041440695
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1016/j.materresbull.2012.04.070 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004032307
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1016/j.pnsc.2017.09.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092168824
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1016/j.snb.2014.02.034 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032404725
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1016/j.snb.2016.07.111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002545743
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1016/j.synthmet.2014.07.025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041058799
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1016/j.talanta.2007.05.049 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014049929
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1021/ac00232a020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054982939
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1021/ac00235a029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054983165
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1021/ac00249a046 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054984700
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1021/ac50008a001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055006176
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1021/ac50064a035 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055014131
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1021/cm981085u schema:sameAs https://app.dimensions.ai/details/publication/pub.1027099600
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1021/cr300115g schema:sameAs https://app.dimensions.ai/details/publication/pub.1000405039
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1021/cr900070d schema:sameAs https://app.dimensions.ai/details/publication/pub.1023661959
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1021/ja01539a017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055805656
212 rdf:type schema:CreativeWork
213 https://doi.org/10.1021/jp906348x schema:sameAs https://app.dimensions.ai/details/publication/pub.1043142092
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1021/jp909756r schema:sameAs https://app.dimensions.ai/details/publication/pub.1030220341
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1021/nl072838r schema:sameAs https://app.dimensions.ai/details/publication/pub.1000422744
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1021/nl801827v schema:sameAs https://app.dimensions.ai/details/publication/pub.1040491531
220 rdf:type schema:CreativeWork
221 https://doi.org/10.1039/c0an00590h schema:sameAs https://app.dimensions.ai/details/publication/pub.1046911066
222 rdf:type schema:CreativeWork
223 https://doi.org/10.1039/c2cp43673f schema:sameAs https://app.dimensions.ai/details/publication/pub.1038342021
224 rdf:type schema:CreativeWork
225 https://doi.org/10.1039/c2ra22360k schema:sameAs https://app.dimensions.ai/details/publication/pub.1012975323
226 rdf:type schema:CreativeWork
227 https://doi.org/10.1039/c3cy01025b schema:sameAs https://app.dimensions.ai/details/publication/pub.1018131099
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1039/c3nj01471a schema:sameAs https://app.dimensions.ai/details/publication/pub.1037364524
230 rdf:type schema:CreativeWork
231 https://doi.org/10.1039/c3ta01498c schema:sameAs https://app.dimensions.ai/details/publication/pub.1024981619
232 rdf:type schema:CreativeWork
233 https://doi.org/10.1039/c4ra08952a schema:sameAs https://app.dimensions.ai/details/publication/pub.1015849815
234 rdf:type schema:CreativeWork
235 https://doi.org/10.1039/c5ra05612h schema:sameAs https://app.dimensions.ai/details/publication/pub.1051021089
236 rdf:type schema:CreativeWork
237 https://doi.org/10.1039/c5ta02608c schema:sameAs https://app.dimensions.ai/details/publication/pub.1044717803
238 rdf:type schema:CreativeWork
239 https://doi.org/10.1080/22243682.2013.771917 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009134736
240 rdf:type schema:CreativeWork
241 https://www.grid.ac/institutes/grid.252262.3 schema:alternateName Anna University, Chennai
242 schema:name Department of Physics, Thirumalai Engineering College, Kilambi, Kancheepuram, India
243 Department of Physics, University College of Engineering, Bhrathidasan Institute of Technology (BIT) Campus, Anna University, Tiruchirappalli, India
244 rdf:type schema:Organization
245 https://www.grid.ac/institutes/grid.411312.4 schema:alternateName Alagappa University
246 schema:name Department of Bioelectronics and Biosensors, Alagappa University, Karaikudi, India
247 rdf:type schema:Organization
 




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


...