Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/59377
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dc.contributor.authorJavaid, Shaghrafen
dc.contributor.authorAzhar, Muhammad Rizwanen
dc.contributor.authorLi, Xinyuen
dc.contributor.authorPhillips, Juliette Ien
dc.contributor.authorHussain, Tanveeren
dc.contributor.authorAbid, Husseinen
dc.contributor.authorChen, Junen
dc.contributor.authorJi, Xiaoboen
dc.contributor.authorSilvester, Debbie Sen
dc.date.accessioned2024-05-17T06:37:00Z-
dc.date.available2024-05-17T06:37:00Z-
dc.date.issued2023-
dc.identifier.citationMaterials Today Chemistry, v.34en
dc.identifier.issn2468-5194en
dc.identifier.urihttps://hdl.handle.net/1959.11/59377-
dc.description.abstract<p>The sensing of explosives such as 2,4,6-trinitrotoluene (TNT) directly at an explosion site requires a fast, simple and sensitive detection method, to which electrochemical techniques are well suited. Herein, we report an electrochemical sensor material for TNT based on an ammonium hydroxide (NH4OH) sensitized zinc-1,4–benzenedicarboxylate Zn(BDC) metal organic framework (MOF) mixed with carbon black on a glassy carbon electrode. In the solvent modulation mechanism, by merely changing the concentration of NH4OH during synthesis, two Zn(BDC) MOFs with novel morphologies were fabricated via a hydrothermal approach. The as-prepared MOFs were characterized using X-ray powder diffraction (XRD), scanning electron microscopy (SEM), Fourier transform infrared (FTIR) spectroscopy, X-ray photoelectron spectroscopy (XPS) and high-resolution field emission electron microscopy (FESEM) equipped with energy dispersive X-ray spectroscopy (EDS). The different morphologies of the MOFs, and their impact on the performance of the modified electrodes towards the electrochemical detection of TNT was investigated. Under optimum conditions, 0.7–Zn(BDC) demonstrated the best electrochemical response for TNT detection using square wave voltammetry (SWV) with a linear calibration response in the range of 0.3–1.0 μM, a limit of detection (LOD) of 0.042 μM, a limit of quantification (LOQ) of 0.14 μM and a high rate of repeatability. Atomic-scale simulations based on density functional theory authenticated the efficient sensing properties of Zn(BDC) MOF towards TNT. Furthermore, the promising response of the sensors in real sample matrices (tap water and wastewater) was demonstrated, opening new avenues towards the real-time detection of TNT in real environmental samples.</p>en
dc.languageenen
dc.publisherElsevier BVen
dc.relation.ispartofMaterials Today Chemistryen
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleMetal organic frameworks with carbon black for the enhanced electrochemical detection of 2,4,6-trinitrotolueneen
dc.typeJournal Articleen
dc.identifier.doi10.1016/j.mtchem.2023.101759en
dcterms.accessRightsUNE Greenen
local.contributor.firstnameShaghrafen
local.contributor.firstnameMuhammad Rizwanen
local.contributor.firstnameXinyuen
local.contributor.firstnameJuliette Ien
local.contributor.firstnameTanveeren
local.contributor.firstnameHusseinen
local.contributor.firstnameJunen
local.contributor.firstnameXiaoboen
local.contributor.firstnameDebbie Sen
local.profile.schoolSchool of Science and Technologyen
local.profile.emailthussai3@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeUnited Kingdomen
local.identifier.runningnumber101759en
local.peerreviewedYesen
local.identifier.volume34en
local.access.fulltextYesen
local.contributor.lastnameJavaiden
local.contributor.lastnameAzharen
local.contributor.lastnameLien
local.contributor.lastnamePhillipsen
local.contributor.lastnameHussainen
local.contributor.lastnameAbiden
local.contributor.lastnameChenen
local.contributor.lastnameJien
local.contributor.lastnameSilvesteren
dc.identifier.staffune-id:thussai3en
local.profile.orcid0000-0003-1973-4584en
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local.identifier.unepublicationidune:1959.11/59377en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleMetal organic frameworks with carbon black for the enhanced electrochemical detection of 2,4,6-trinitrotolueneen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorJavaid, Shaghrafen
local.search.authorAzhar, Muhammad Rizwanen
local.search.authorLi, Xinyuen
local.search.authorPhillips, Juliette Ien
local.search.authorHussain, Tanveeren
local.search.authorAbid, Husseinen
local.search.authorChen, Junen
local.search.authorJi, Xiaoboen
local.search.authorSilvester, Debbie Sen
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/595e2327-3d8a-4aff-a266-21fd608e724fen
local.uneassociationYesen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.published2023en
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/595e2327-3d8a-4aff-a266-21fd608e724fen
local.fileurl.openpublishedhttps://rune.une.edu.au/web/retrieve/595e2327-3d8a-4aff-a266-21fd608e724fen
local.subject.for2020401807 Nanomaterialsen
local.subject.for2020510403 Condensed matter modelling and density functional theoryen
local.subject.seo2020209999 Other health not elsewhere classifieden
local.codeupdate.date2024-08-01T10:47:04.229en
local.codeupdate.epersonthussai3@une.edu.auen
local.codeupdate.finalisedtrueen
local.original.for20203407 Theoretical and computational chemistryen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeUNE Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.date.moved2024-05-17en
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