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Graphene based Mo6 cluster hybrid for detecting simulant nerve agent DMMP

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Graphene based Mo6 cluster hybrid for detecting simulant nerve agent DMMP

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dc.contributor.author Casanova-Cháfer, Juan es_ES
dc.contributor.author Blanch, Xavier es_ES
dc.contributor.author Moreno, Ana es_ES
dc.contributor.author García-Aboal, Rocío es_ES
dc.contributor.author Atienzar Corvillo, Pedro Enrique es_ES
dc.contributor.author Llobet, Eduard es_ES
dc.contributor.author Feliz Rodriguez, Marta es_ES
dc.date.accessioned 2024-07-10T18:03:35Z
dc.date.available 2024-07-10T18:03:35Z
dc.date.issued 2024-02 es_ES
dc.identifier.uri http://hdl.handle.net/10251/205942
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. es_ES
dc.description.sponsorship J.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.language Inglés es_ES
dc.publisher Elsevier BV es_ES
dc.relation.ispartof Sensing and Bio-Sensing Research es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Graphene es_ES
dc.subject Mo 6 cluster es_ES
dc.subject DMMP es_ES
dc.subject Nerve agent es_ES
dc.subject Trace levels es_ES
dc.title Graphene based Mo6 cluster hybrid for detecting simulant nerve agent DMMP es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.sbsr.2023.100603 es_ES
dc.relation.projectID info: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.projectID info:eu-repo/grantAgreement/EC/H2020/823895/EU/SMART SENSING FOR RAPID RESPONSE TO CHEMICAL THREATS ON SOFT TARGETS/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/HE/101066282/EU/Green Borophene Sensing/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//CEX2021-001230-S/ es_ES
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Casanova-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.2023.100603 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.sbsr.2023.100603 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 43 es_ES
dc.identifier.eissn 2214-1804 es_ES
dc.relation.pasarela S\513705 es_ES
dc.contributor.funder European Commission es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES
dc.contributor.funder European Regional Development Fund es_ES
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES
dc.contributor.funder Institució Catalana de Recerca i Estudis Avançats es_ES


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