Graphene based Mo6 cluster hybrid for detecting simulant nerve agent DMMP

dc.contributor.affiliationInstituto Universitario Mixto de Tecnología Química
dc.contributor.authorCasanova-Cháfer, Juanes_ES
dc.contributor.authorBlanch, Xavieres_ES
dc.contributor.authorMoreno, Anaes_ES
dc.contributor.authorGarcía-Aboal, Rocíoes_ES
dc.contributor.authorAtienzar Corvillo, Pedro Enrique
dc.contributor.authorLlobet, Eduardes_ES
dc.contributor.authorFeliz Rodriguez, Marta
dc.contributor.funderEuropean Commissiones_ES
dc.contributor.funderAgencia Estatal de Investigaciónes_ES
dc.contributor.funderEuropean Regional Development Fundes_ES
dc.contributor.funderMinisterio de Ciencia e Innovaciónes_ES
dc.contributor.funderInstitució Catalana de Recerca i Estudis Avançatses_ES
dc.date.accessioned2024-07-10T18:03:35Z
dc.date.available2024-07-10T18:03:35Z
dc.date.issued2024-02es_ES
dc.description.abstract[EN] Nerve agents are highly toxic chemical compounds that pose significant threats to human health and safety. Detecting and identifying these agents quickly is crucial for preventing their exposure and providing timely treatment. This study proposes the use of nanohybrids comprising crystalline octahedral molybdenum iodide cluster material supported on graphene (Mo6@Graphene) as a novel sensing material for the detection of dimethyl methylphosphonate (DMMP), a simulant of sarin nerve agent. The electrical sensing performance towards different concentrations of DMMP and at room temperature demonstrated fast and sensitive responses to DMMP, with almost full recovery of the sensor baseline in a few minutes. The calibration curve obtained showed a linear relationship between the sensor response and DMMP concentration, enabling the estimation of the limit of detection (LOD) of 270 ppb. The robustness of the Mo6@Graphene nanomaterial towards DMMP was assessed using various techniques, including Raman spectroscopy, X-ray diffraction and photoelectron spectroscopy. The binding energies (BEs) between DMMP and the supported Mo6 clusters determined by DFT calculations revealed H-bonding interactions involved in the sensing mechanism. The excellent sensing performance of the Mo6@Graphene film, combined with its low power consumption and high stability, makes it a promising candidate for the detection of nerve agents and their simulants.en_EN
dc.description.accrualMethodSes_ES
dc.description.bibliographicCitationCasanova-Cháfer, J.; Blanch, X.; Moreno, A.; García-Aboal, R.; Atienzar Corvillo, PE.; Llobet, E.; Feliz Rodriguez, M. (2024). Graphene based Mo6 cluster hybrid for detecting simulant nerve agent DMMP. Sensing and Bio-Sensing Research. 43. https://doi.org/10.1016/j.sbsr.2023.100603es_ES
dc.description.sponsorshipJ.C.-C. is supported by the Marie Sklodowska-Curie Postdoctoral Fellowship (Horizon Europe Programme) under grant agreement No. 101066282 "GREBOS". E.L. is supported by the Catalan Institute for Advanced Studies (ICREA) via the 2018 Edition of the ICREA Academia Award. This work was supported in part by the Marie Sklodowska-Curie Action (MSCA) Research and in part by the Innovation Staff Exchange (RISE) under Grant no. H2020-MSCA-RISE-2018-823895 "SENSOFT." This research was also funded by the ITQ though the project PID2021-123163OB-I00 funded by MCIN/AEI/10.13039/501100011033/and FEDER A way of making Europe and Severo Ochoa centre of excellence program (CEX2021-001230-S) . We also thank Dr. Mercedes Boronat for providing us the computational resources at ITQ.es_ES
dc.description.volume43es_ES
dc.identifier.doi10.1016/j.sbsr.2023.100603es_ES
dc.identifier.eissn2214-1804es_ES
dc.identifier.urihttps://riunet.upv.es/handle/10251/205942
dc.languageIngléses_ES
dc.publisherElsevier BVes_ES
dc.relation.ispartofSensing and Bio-Sensing Researches_ES
dc.relation.pasarelaS\513705es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-123163OB-I00/ES/MATERIALES MICROESTRUCTURADOS PARA DISPOSITIVOS DE FOTONICA INTEGRADA/es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/823895/EU/SMART SENSING FOR RAPID RESPONSE TO CHEMICAL THREATS ON SOFT TARGETS/es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/HE/101066282/EU/Green Borophene Sensing/es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/MICINN//CEX2021-001230-S/es_ES
dc.relation.publisherversionhttps://doi.org/10.1016/j.sbsr.2023.100603es_ES
dc.rightsReconocimiento - No comercial - Sin obra derivada (by-nc-nd)es_ES
dc.rights.accessRightsAbiertoes_ES
dc.subjectGraphenees_ES
dc.subjectMo 6 clusteres_ES
dc.subjectDMMPes_ES
dc.subjectNerve agentes_ES
dc.subjectTrace levelses_ES
dc.titleGraphene based Mo6 cluster hybrid for detecting simulant nerve agent DMMPes_ES
dc.typeArtículoes_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES
dspace.entity.typePublication
person.identifier102275
person.identifier448898
person.identifier.orcid0000-0002-0356-021X
person.identifier.orcid0000-0002-4429-0551
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relation.isAuthorOfPublicationb0b87734-b68d-4c95-bef0-722832acbf77
relation.isAuthorOfPublication.latestForDiscoveryb0b87734-b68d-4c95-bef0-722832acbf77
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