Preparation of electro-reduced graphene oxide supported walnut shape nickel nanostructures, and their application to selective detection of dopamine View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2016-05

AUTHORS

M. Kaleesh Kumar, R. K. Vishnu Prataap, S. Mohan, Shailendra K. Jha

ABSTRACT

A selective and sensitive method is reported for the detection of dopamine (DA) by using electro-reduced graphene oxide (er-GO) supported walnut shape nickel nanocomposite (er-GO-Ni) modified glassy carbon electrode. The surface morphological characterizations reveal that the Ni nanoparticles were homogeneously distributed on the er-GO nanosheets. Subsequently the electrochemical study shows an excellent selectivity, reproducibility, low detection limit (10 ± 0.03 nM), high sensitivity (23.3 nA·μM−1), and reasonably wide linear range (0.05–50 μM) for the detection of DA at +0.1 V vs SCE. The selectivity for DA over ascorbic acid and uric acid is attributed to the charge-based discrimination of the modified electrode. An excellent correspondence of calculated and reported rate constant for the DA oxidation is also obtained by hydrodynamic experiments using a rotating disk electrode. Graphical abstractSelective detection of dopamine is demonstrated and assumed to be due to (i) a Nafion film coating, (ii) repulsive electrostatic interaction with the negative charge on residual oxygen functionality of electro-reduced graphene oxide (er-GO), and (iii) the presence of oxide or hydroxide Ni species during deposition of sample. Selective detection of dopamine is demonstrated and assumed to be due to (i) a Nafion film coating, (ii) repulsive electrostatic interaction with the negative charge on residual oxygen functionality of electro-reduced graphene oxide (er-GO), and (iii) the presence of oxide or hydroxide Ni species during deposition of sample. More... »

PAGES

1759-1768

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00604-016-1806-7

DOI

http://dx.doi.org/10.1007/s00604-016-1806-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1004191927


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": "Central Electrochemical Research Institute", 
          "id": "https://www.grid.ac/institutes/grid.417628.e", 
          "name": [
            "CSIR \u2013 Central Electrochemical Research Institute, 630 006, Karaikudi, Tamil Nadu, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kumar", 
        "givenName": "M. Kaleesh", 
        "id": "sg:person.014355566427.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014355566427.08"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Central Electrochemical Research Institute", 
          "id": "https://www.grid.ac/institutes/grid.417628.e", 
          "name": [
            "CSIR \u2013 Central Electrochemical Research Institute, 630 006, Karaikudi, Tamil Nadu, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Prataap", 
        "givenName": "R. K. Vishnu", 
        "id": "sg:person.016546110027.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016546110027.51"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Central Electrochemical Research Institute", 
          "id": "https://www.grid.ac/institutes/grid.417628.e", 
          "name": [
            "CSIR \u2013 Central Electrochemical Research Institute, 630 006, Karaikudi, Tamil Nadu, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mohan", 
        "givenName": "S.", 
        "id": "sg:person.0645230335.59", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0645230335.59"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Central Electrochemical Research Institute", 
          "id": "https://www.grid.ac/institutes/grid.417628.e", 
          "name": [
            "CSIR \u2013 Central Electrochemical Research Institute, 630 006, Karaikudi, Tamil Nadu, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jha", 
        "givenName": "Shailendra K.", 
        "id": "sg:person.013075053255.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013075053255.40"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s00604-013-0988-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000163741", 
          "https://doi.org/10.1007/s00604-013-0988-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jelechem.2012.03.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000263756"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bios.2011.01.023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002316599"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/b307024g", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003016621"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jelechem.2007.01.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008021040"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0022-0728(99)00106-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008537502"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac031421c", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011795562"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac031421c", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011795562"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.elecom.2009.02.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013315077"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00604-013-1028-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013387487", 
          "https://doi.org/10.1007/s00604-013-1028-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac404050t", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013431919"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.electacta.2013.12.051", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014114768"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00604-014-1371-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017954463", 
          "https://doi.org/10.1007/s00604-014-1371-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jneumeth.2011.03.023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021306559"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nnano.2007.451", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025138385", 
          "https://doi.org/10.1038/nnano.2007.451"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bios.2010.12.022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025380543"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c2cc16031e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026133151"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00604-015-1521-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026374002", 
          "https://doi.org/10.1007/s00604-015-1521-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00604-015-1668-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026571852", 
          "https://doi.org/10.1007/s00604-015-1668-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00604-015-1648-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026905098", 
          "https://doi.org/10.1007/s00604-015-1648-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0003-2670(97)00424-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027656845"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00604-014-1293-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028611222", 
          "https://doi.org/10.1007/s00604-014-1293-7"
        ], 
        "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.ijhydene.2014.05.174", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030869644"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jelechem.2010.01.028", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031263195"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/elan.201000306", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031428288"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/elan.201000306", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031428288"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0013-4686(01)00611-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032552195"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00604-015-1450-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032996832", 
          "https://doi.org/10.1007/s00604-015-1450-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0022-0728(85)80052-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034240036"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2116/analsci.20.1055", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036683064"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00604-015-1585-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038752007", 
          "https://doi.org/10.1007/s00604-015-1585-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00604-014-1308-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039686318", 
          "https://doi.org/10.1007/s00604-014-1308-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00604-014-1308-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039686318", 
          "https://doi.org/10.1007/s00604-014-1308-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ab.2010.11.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039813153"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bioelechem.2007.11.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041385973"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.electacta.2004.03.037", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044055529"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature01476", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044380168", 
          "https://doi.org/10.1038/nature01476"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature01476", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044380168", 
          "https://doi.org/10.1038/nature01476"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0039-9140(94)e0064-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046176754"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.snb.2014.05.095", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048801635"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jpha.2011.04.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053443384"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac00164a718", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054977285"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac960815j", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055073011"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac960815j", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055073011"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/am201508d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055142067"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/am502344p", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055145761"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ja410433b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055855649"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-05", 
    "datePublishedReg": "2016-05-01", 
    "description": "A selective and sensitive method is reported for the detection of dopamine (DA) by using electro-reduced graphene oxide (er-GO) supported walnut shape nickel nanocomposite (er-GO-Ni) modified glassy carbon electrode. The surface morphological characterizations reveal that the Ni nanoparticles were homogeneously distributed on the er-GO nanosheets. Subsequently the electrochemical study shows an excellent selectivity, reproducibility, low detection limit (10 \u00b1 0.03 nM), high sensitivity (23.3 nA\u00b7\u03bcM\u22121), and reasonably wide linear range (0.05\u201350 \u03bcM) for the detection of DA at +0.1 V vs SCE. The selectivity for DA over ascorbic acid and uric acid is attributed to the charge-based discrimination of the modified electrode. An excellent correspondence of calculated and reported rate constant for the DA oxidation is also obtained by hydrodynamic experiments using a rotating disk electrode. Graphical abstractSelective detection of dopamine is demonstrated and assumed to be due to (i) a Nafion film coating, (ii) repulsive electrostatic interaction with the negative charge on residual oxygen functionality of electro-reduced graphene oxide (er-GO), and (iii) the presence of oxide or hydroxide Ni species during deposition of sample. Selective detection of dopamine is demonstrated and assumed to be due to (i) a Nafion film coating, (ii) repulsive electrostatic interaction with the negative charge on residual oxygen functionality of electro-reduced graphene oxide (er-GO), and (iii) the presence of oxide or hydroxide Ni species during deposition of sample.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00604-016-1806-7", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1009468", 
        "issn": [
          "0026-3672", 
          "1436-5073"
        ], 
        "name": "Microchimica Acta", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "5", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "183"
      }
    ], 
    "name": "Preparation of electro-reduced graphene oxide supported walnut shape nickel nanostructures, and their application to selective detection of dopamine", 
    "pagination": "1759-1768", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "13f9ad84385af9c53ee76aac4534ef1cdca08fc9e29157b2f0854e17b719a9f6"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00604-016-1806-7"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1004191927"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00604-016-1806-7", 
      "https://app.dimensions.ai/details/publication/pub.1004191927"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T23:18", 
    "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_8693_00000485.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s00604-016-1806-7"
  }
]
 

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/s00604-016-1806-7'

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/s00604-016-1806-7'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00604-016-1806-7'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00604-016-1806-7'


 

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

223 TRIPLES      21 PREDICATES      70 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00604-016-1806-7 schema:about anzsrc-for:03
2 anzsrc-for:0306
3 schema:author N3b2b175a88eb4bd4bda86fc052b8383c
4 schema:citation sg:pub.10.1007/s00604-013-0988-5
5 sg:pub.10.1007/s00604-013-1028-1
6 sg:pub.10.1007/s00604-014-1293-7
7 sg:pub.10.1007/s00604-014-1308-4
8 sg:pub.10.1007/s00604-014-1371-x
9 sg:pub.10.1007/s00604-015-1450-7
10 sg:pub.10.1007/s00604-015-1521-9
11 sg:pub.10.1007/s00604-015-1585-6
12 sg:pub.10.1007/s00604-015-1648-8
13 sg:pub.10.1007/s00604-015-1668-4
14 sg:pub.10.1038/nature01476
15 sg:pub.10.1038/nnano.2007.451
16 https://doi.org/10.1002/elan.201000306
17 https://doi.org/10.1016/0039-9140(94)e0064-x
18 https://doi.org/10.1016/j.ab.2010.11.007
19 https://doi.org/10.1016/j.bioelechem.2007.11.007
20 https://doi.org/10.1016/j.bios.2010.02.031
21 https://doi.org/10.1016/j.bios.2010.12.022
22 https://doi.org/10.1016/j.bios.2011.01.023
23 https://doi.org/10.1016/j.elecom.2009.02.013
24 https://doi.org/10.1016/j.electacta.2004.03.037
25 https://doi.org/10.1016/j.electacta.2013.12.051
26 https://doi.org/10.1016/j.ijhydene.2014.05.174
27 https://doi.org/10.1016/j.jelechem.2007.01.001
28 https://doi.org/10.1016/j.jelechem.2010.01.028
29 https://doi.org/10.1016/j.jelechem.2012.03.007
30 https://doi.org/10.1016/j.jneumeth.2011.03.023
31 https://doi.org/10.1016/j.jpha.2011.04.003
32 https://doi.org/10.1016/j.snb.2014.05.095
33 https://doi.org/10.1016/s0003-2670(97)00424-8
34 https://doi.org/10.1016/s0013-4686(01)00611-9
35 https://doi.org/10.1016/s0022-0728(85)80052-8
36 https://doi.org/10.1016/s0022-0728(99)00106-0
37 https://doi.org/10.1021/ac00164a718
38 https://doi.org/10.1021/ac031421c
39 https://doi.org/10.1021/ac404050t
40 https://doi.org/10.1021/ac960815j
41 https://doi.org/10.1021/am201508d
42 https://doi.org/10.1021/am502344p
43 https://doi.org/10.1021/ja410433b
44 https://doi.org/10.1039/b307024g
45 https://doi.org/10.1039/c2cc16031e
46 https://doi.org/10.2116/analsci.20.1055
47 schema:datePublished 2016-05
48 schema:datePublishedReg 2016-05-01
49 schema:description A selective and sensitive method is reported for the detection of dopamine (DA) by using electro-reduced graphene oxide (er-GO) supported walnut shape nickel nanocomposite (er-GO-Ni) modified glassy carbon electrode. The surface morphological characterizations reveal that the Ni nanoparticles were homogeneously distributed on the er-GO nanosheets. Subsequently the electrochemical study shows an excellent selectivity, reproducibility, low detection limit (10 ± 0.03 nM), high sensitivity (23.3 nA·μM−1), and reasonably wide linear range (0.05–50 μM) for the detection of DA at +0.1 V vs SCE. The selectivity for DA over ascorbic acid and uric acid is attributed to the charge-based discrimination of the modified electrode. An excellent correspondence of calculated and reported rate constant for the DA oxidation is also obtained by hydrodynamic experiments using a rotating disk electrode. Graphical abstractSelective detection of dopamine is demonstrated and assumed to be due to (i) a Nafion film coating, (ii) repulsive electrostatic interaction with the negative charge on residual oxygen functionality of electro-reduced graphene oxide (er-GO), and (iii) the presence of oxide or hydroxide Ni species during deposition of sample. Selective detection of dopamine is demonstrated and assumed to be due to (i) a Nafion film coating, (ii) repulsive electrostatic interaction with the negative charge on residual oxygen functionality of electro-reduced graphene oxide (er-GO), and (iii) the presence of oxide or hydroxide Ni species during deposition of sample.
50 schema:genre research_article
51 schema:inLanguage en
52 schema:isAccessibleForFree false
53 schema:isPartOf N08e8d0fffd024c448188b703fb3a76b5
54 N2a77cade6483416bba745bc3f6c57ee3
55 sg:journal.1009468
56 schema:name Preparation of electro-reduced graphene oxide supported walnut shape nickel nanostructures, and their application to selective detection of dopamine
57 schema:pagination 1759-1768
58 schema:productId N4649d7925de648e19027d80921f0ac9c
59 N4b1c3b5929884a07b43d34add52e5db7
60 Ne571b22b28e54df989c1773103c86cf7
61 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004191927
62 https://doi.org/10.1007/s00604-016-1806-7
63 schema:sdDatePublished 2019-04-10T23:18
64 schema:sdLicense https://scigraph.springernature.com/explorer/license/
65 schema:sdPublisher N10837ba120ff42a1ada134b036dcb1c3
66 schema:url http://link.springer.com/10.1007/s00604-016-1806-7
67 sgo:license sg:explorer/license/
68 sgo:sdDataset articles
69 rdf:type schema:ScholarlyArticle
70 N08e8d0fffd024c448188b703fb3a76b5 schema:issueNumber 5
71 rdf:type schema:PublicationIssue
72 N10837ba120ff42a1ada134b036dcb1c3 schema:name Springer Nature - SN SciGraph project
73 rdf:type schema:Organization
74 N13fd49aa32244c2fa89cb4d7dc17e6bd rdf:first sg:person.013075053255.40
75 rdf:rest rdf:nil
76 N23530a2224ea49298e5629356d6552a7 rdf:first sg:person.0645230335.59
77 rdf:rest N13fd49aa32244c2fa89cb4d7dc17e6bd
78 N2a77cade6483416bba745bc3f6c57ee3 schema:volumeNumber 183
79 rdf:type schema:PublicationVolume
80 N3b2b175a88eb4bd4bda86fc052b8383c rdf:first sg:person.014355566427.08
81 rdf:rest N685a74a6e4e442ae8cc7e7bcac8052a3
82 N4649d7925de648e19027d80921f0ac9c schema:name readcube_id
83 schema:value 13f9ad84385af9c53ee76aac4534ef1cdca08fc9e29157b2f0854e17b719a9f6
84 rdf:type schema:PropertyValue
85 N4b1c3b5929884a07b43d34add52e5db7 schema:name dimensions_id
86 schema:value pub.1004191927
87 rdf:type schema:PropertyValue
88 N685a74a6e4e442ae8cc7e7bcac8052a3 rdf:first sg:person.016546110027.51
89 rdf:rest N23530a2224ea49298e5629356d6552a7
90 Ne571b22b28e54df989c1773103c86cf7 schema:name doi
91 schema:value 10.1007/s00604-016-1806-7
92 rdf:type schema:PropertyValue
93 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
94 schema:name Chemical Sciences
95 rdf:type schema:DefinedTerm
96 anzsrc-for:0306 schema:inDefinedTermSet anzsrc-for:
97 schema:name Physical Chemistry (incl. Structural)
98 rdf:type schema:DefinedTerm
99 sg:journal.1009468 schema:issn 0026-3672
100 1436-5073
101 schema:name Microchimica Acta
102 rdf:type schema:Periodical
103 sg:person.013075053255.40 schema:affiliation https://www.grid.ac/institutes/grid.417628.e
104 schema:familyName Jha
105 schema:givenName Shailendra K.
106 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013075053255.40
107 rdf:type schema:Person
108 sg:person.014355566427.08 schema:affiliation https://www.grid.ac/institutes/grid.417628.e
109 schema:familyName Kumar
110 schema:givenName M. Kaleesh
111 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014355566427.08
112 rdf:type schema:Person
113 sg:person.016546110027.51 schema:affiliation https://www.grid.ac/institutes/grid.417628.e
114 schema:familyName Prataap
115 schema:givenName R. K. Vishnu
116 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016546110027.51
117 rdf:type schema:Person
118 sg:person.0645230335.59 schema:affiliation https://www.grid.ac/institutes/grid.417628.e
119 schema:familyName Mohan
120 schema:givenName S.
121 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0645230335.59
122 rdf:type schema:Person
123 sg:pub.10.1007/s00604-013-0988-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000163741
124 https://doi.org/10.1007/s00604-013-0988-5
125 rdf:type schema:CreativeWork
126 sg:pub.10.1007/s00604-013-1028-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013387487
127 https://doi.org/10.1007/s00604-013-1028-1
128 rdf:type schema:CreativeWork
129 sg:pub.10.1007/s00604-014-1293-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028611222
130 https://doi.org/10.1007/s00604-014-1293-7
131 rdf:type schema:CreativeWork
132 sg:pub.10.1007/s00604-014-1308-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039686318
133 https://doi.org/10.1007/s00604-014-1308-4
134 rdf:type schema:CreativeWork
135 sg:pub.10.1007/s00604-014-1371-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1017954463
136 https://doi.org/10.1007/s00604-014-1371-x
137 rdf:type schema:CreativeWork
138 sg:pub.10.1007/s00604-015-1450-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032996832
139 https://doi.org/10.1007/s00604-015-1450-7
140 rdf:type schema:CreativeWork
141 sg:pub.10.1007/s00604-015-1521-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026374002
142 https://doi.org/10.1007/s00604-015-1521-9
143 rdf:type schema:CreativeWork
144 sg:pub.10.1007/s00604-015-1585-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038752007
145 https://doi.org/10.1007/s00604-015-1585-6
146 rdf:type schema:CreativeWork
147 sg:pub.10.1007/s00604-015-1648-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026905098
148 https://doi.org/10.1007/s00604-015-1648-8
149 rdf:type schema:CreativeWork
150 sg:pub.10.1007/s00604-015-1668-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026571852
151 https://doi.org/10.1007/s00604-015-1668-4
152 rdf:type schema:CreativeWork
153 sg:pub.10.1038/nature01476 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044380168
154 https://doi.org/10.1038/nature01476
155 rdf:type schema:CreativeWork
156 sg:pub.10.1038/nnano.2007.451 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025138385
157 https://doi.org/10.1038/nnano.2007.451
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1002/elan.201000306 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031428288
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1016/0039-9140(94)e0064-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1046176754
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1016/j.ab.2010.11.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039813153
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1016/j.bioelechem.2007.11.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041385973
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.bios.2010.12.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025380543
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1016/j.bios.2011.01.023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002316599
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1016/j.elecom.2009.02.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013315077
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1016/j.electacta.2004.03.037 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044055529
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1016/j.electacta.2013.12.051 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014114768
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1016/j.ijhydene.2014.05.174 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030869644
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1016/j.jelechem.2007.01.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008021040
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1016/j.jelechem.2010.01.028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031263195
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1016/j.jelechem.2012.03.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000263756
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1016/j.jneumeth.2011.03.023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021306559
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1016/j.jpha.2011.04.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053443384
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1016/j.snb.2014.05.095 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048801635
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1016/s0003-2670(97)00424-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027656845
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1016/s0013-4686(01)00611-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032552195
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1016/s0022-0728(85)80052-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034240036
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1016/s0022-0728(99)00106-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008537502
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1021/ac00164a718 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054977285
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1021/ac031421c schema:sameAs https://app.dimensions.ai/details/publication/pub.1011795562
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1021/ac404050t schema:sameAs https://app.dimensions.ai/details/publication/pub.1013431919
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1021/ac960815j schema:sameAs https://app.dimensions.ai/details/publication/pub.1055073011
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1021/am201508d schema:sameAs https://app.dimensions.ai/details/publication/pub.1055142067
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1021/am502344p schema:sameAs https://app.dimensions.ai/details/publication/pub.1055145761
212 rdf:type schema:CreativeWork
213 https://doi.org/10.1021/ja410433b schema:sameAs https://app.dimensions.ai/details/publication/pub.1055855649
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1039/b307024g schema:sameAs https://app.dimensions.ai/details/publication/pub.1003016621
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1039/c2cc16031e schema:sameAs https://app.dimensions.ai/details/publication/pub.1026133151
218 rdf:type schema:CreativeWork
219 https://doi.org/10.2116/analsci.20.1055 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036683064
220 rdf:type schema:CreativeWork
221 https://www.grid.ac/institutes/grid.417628.e schema:alternateName Central Electrochemical Research Institute
222 schema:name CSIR – Central Electrochemical Research Institute, 630 006, Karaikudi, Tamil Nadu, India
223 rdf:type schema:Organization
 




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


...