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Please use this identifier to cite or link to this item: http://hdl.handle.net/2289/6072
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dc.contributor.authorkempegowda, R.-
dc.contributor.authorAntony, D.-
dc.contributor.authorMalingappa, P.-
dc.date.accessioned2014-12-12T10:55:23Z-
dc.date.available2014-12-12T10:55:23Z-
dc.date.issued2014-04-01-
dc.identifier.citationInternational Journal of Smart and Nano Materials, 2014, Vol. 5, p.17-32en
dc.identifier.issn1947-5411-
dc.identifier.issn1947-542X (Online)-
dc.identifier.urihttp://hdl.handle.net/2289/6072-
dc.descriptionOpen Access Under Creative Commons Attributionen
dc.description.abstractA simple protocol for the chemical modification of graphene with platinum nanoparticles and its subsequent electroanalytical application toward sensitive and selective determination of arsenic has been described. Chemical modification was carried out by the simultaneous and sequential chemical reduction of graphene oxide and hexachloroplatinic acid in the presence of ethylene glycol as a mild reducing agent. The synthesized graphene–platinum nanocomposite (Gr–nPt) has been characterized through infrared spectroscopy, x-ray diffraction study, field emission scanning electron microscopy and cyclic voltammetry (CV) techniques. CV and square-wave anodic stripping voltammetry have been used to quantify arsenic. The proposed nanostructure showed linearity in the concentration range 10–100 nM with a detection limit of 1.1 nM. The proposed sensor has been successfully applied to measure trace levels of arsenic present in natural sample matrices like borewell water, polluted lake water, agricultural soil, tomato and spinach leaves.en
dc.language.isoenen
dc.publisherTaylor & Francisen
dc.relation.urihttp://dx.doi.org/10.1080/19475411.2014.898710en
dc.rights2014 Taylor & Francisen
dc.subjectarsenicen
dc.subjectgraphene–platinumen
dc.subjectnanocompositeen
dc.subjectchemical modification,en
dc.subjectsquare-wave anodic stripping voltammetryen
dc.subjectspinach leavesen
dc.subjectCCCen
dc.titleGraphene–platinum nanocomposite as a sensitive and selective voltammetric sensor for trace level arsenic quantificationen
dc.typeArticleen
Appears in Collections:Research Papers (SCM)

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