Mostrar el registro sencillo del ítem
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 |