Laser-Assisted Mo2C-Derived Patterned Oxide for Highly Selective Room Temperature Ammonia Sensor for Food Spoilage Monitoring

dc.contributor.authorBhardwaj, Radhacs
dc.contributor.authorDeshmukh, Sujitcs
dc.contributor.authorPumera, Martincs
dc.coverage.issue11cs
dc.coverage.volume9cs
dc.date.accessioned2026-02-19T10:54:09Z
dc.date.issued2025-11-01cs
dc.description.abstractThe need for advanced gas sensors has risen for the detection of hazardous gases, breath analysis, and food industry applications. Transition metal carbides (TMCs), like Mo2C, are novel gas-sensing materials attributed to high electronic conductivity and superior catalytic properties. Poor sensitivity and selectivity are big concerns in TMC-based sensors due to their low specific surface area and fewer reactive sites. Partial oxidation of Mo2C offers the tuning of structural, chemical, and electronic properties. However, conventional techniques, annealing, and solution processing offer uncontrolled oxidation and lead to structural degradation. Herein, by using a temporally and spatially controlled picosecond (ps) pulsed laser, micropatterned Mo2C-derived oxide (MoO3) is developed at room temperature for highly efficient ammonia (NH3) sensing. The uniformly decorated MoO3 nanoclusters over Mo2C function as active centers for better NH3 interaction and formation of discrete Schottky barriers (SBs) between materials, tuning the charge carrier transportation. The MoO3/Mo2C sensor exhibited excellent selectivity toward NH3 over other interfering gases like hydrogen, ethanol, and acetone. This sensor showed excellent sensitivity (351%/100 parts per billion (ppb) NH3) and long-term stability. The Mo2C laser-treated sensor has been successfully tested for monitoring food spoilage. Laser-assisted engineering will provide a new avenue for designing highly efficient gas sensors.en
dc.formattextcs
dc.format.extent1-11cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationSmall Methods. 2025, vol. 9, issue 11, p. 1-11.en
dc.identifier.doi10.1002/smtd.202501246cs
dc.identifier.issn2366-9608cs
dc.identifier.orcid0000-0001-7763-1693cs
dc.identifier.orcid0000-0001-5846-2951cs
dc.identifier.other199450cs
dc.identifier.researcheridELV-8659-2022cs
dc.identifier.researcheridODB-7878-2025cs
dc.identifier.researcheridF-2724-2010cs
dc.identifier.urihttps://hdl.handle.net/11012/256283
dc.language.isoencs
dc.publisherWileycs
dc.relation.ispartofSmall Methodscs
dc.relation.urihttps://onlinelibrary.wiley.com/doi/10.1002/smtd.202501246cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/2366-9608/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectfood spoilageen
dc.subjectlaser engineereden
dc.subjectMo2Cen
dc.subjectNH3 sensoren
dc.subjectselectivityen
dc.titleLaser-Assisted Mo2C-Derived Patterned Oxide for Highly Selective Room Temperature Ammonia Sensor for Food Spoilage Monitoringen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-199450en
sync.item.dbtypeVAVen
sync.item.insts2026.02.19 11:54:09en
sync.item.modts2026.02.19 11:33:30en
thesis.grantorVysoké učení technické v Brně. Středoevropský technologický institut VUT. Energie budoucnosti a inovacecs

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