Surface acoustic wave gas sensors: Innovations in functional materials, sensing dynamics, and signal analysis

dc.contributor.authorAcharya, Suman
dc.contributor.authorSrinivasan, Balasubramanian
dc.contributor.authorShanahan, David
dc.contributor.authorRoedig, Utz
dc.contributor.authorRiordan, Alan O
dc.contributor.authorNagaraja, Veda Sandeep
dc.contributor.funderScience Foundation Ireland(SFI), SFI
dc.contributor.funderEuropean Regional Development Fund
dc.date.accessioned2026-05-21T13:00:01Z
dc.date.available2026-05-21T13:00:01Z
dc.date.issued2025-10-06
dc.description.abstractSurface Acoustic Wave gas sensors have garnered increasing attention as highly sensitive, miniaturized, and wireless compatible platforms for molecular detection. Their unique ability to convert surface perturbations into measurable acoustic shifts makes them ideal for gas sensing across diverse environments. This review synthesizes reported SAW platforms across substrates and modes Rayleigh, SH-SAW, Love links transduction pathways to material choice, and benchmarks performance for key analytes, e.g., NO2, NH3, VOCs, CO2, etc. We catalogue nanostructured oxides, polymers, carbon based films, and hybrid heterojunction coatings, highlighting attributes such as porosity, surface chemistry, and interfacial charge transfer that govern sensitivity and reversibility. We also highlight the emerging use of SAW devices to probe adsorption desorption dynamics, offering analyte specific interaction signatures beyond equilibrium, offering a new perspective into analyte specific interaction pathways. Additionally, the integration of machine learning is discussed as a transformative tool for signal decoding, environmental compensation, and adaptive calibration. We also identify key challenges, cross sensitivity, signal drift, material degradation, and deployment at the edge and review recent strategies to address them. Looking ahead, we envision the evolution of SAW platforms into intelligent, autonomous sensing systems with applications in environmental monitoring, industrial process control, and healthcare diagnostics.en
dc.description.sponsorshipThis publication has emanated in part from research supported by a research grant from Science Foundation Ireland and the Department of Agriculture, Food and Marine on behalf of the Government of Ireland under the Grant 21/RC/10303_P2 (Vistamilk), and supported from research conducted with the financial support of Science Foundation Ireland (SFI) and is co-funded under the European Regional Development Fund under Grant Number 13/RC/2077_P2 (CONNECT).
dc.description.versionpreprint
dc.format.extent34
dc.format.mimetypeapplication/pdfen
dc.identifier.authororcidAcharya, Suman
dc.identifier.authororcidSrinivasan, Balasubramanian§0000-0002-2641-4602
dc.identifier.authororcidShanahan, David
dc.identifier.authororcidRoedig, Utz§0000-0002-4020-0889
dc.identifier.authororcidRiordan, Alan O
dc.identifier.authororcidNagaraja, Veda Sandeep
dc.identifier.citationAcharya, S, Srinivasan, B, Shanahan, D, Roedig, U, Riordan, A O & Nagaraja, V S 2025 'Surface acoustic wave gas sensors: Innovations in functional materials, sensing dynamics, and signal analysis' arXiv, pp. 1-34. https://doi.org/10.48550/arXiv.2510.04940
dc.identifier.doi10.48550/arXiv.2510.04940
dc.identifier.endpage34
dc.identifier.otherArXiv: http://arxiv.org/abs/2510.04940v1
dc.identifier.otherORCID: /0000-0002-4020-0889/work/215420762
dc.identifier.otherORCID: /0000-0002-2641-4602/work/215421103
dc.identifier.startpage1
dc.identifier.urihttps://hdl.handle.net/10468/18805
dc.language.isoen
dc.publisherarXiv
dc.rights© 2025, the Authors.
dc.rights.accessrightsopen access
dc.rights.licensenameAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectphysics.app-ph
dc.subjectcond-mat.mes-hall
dc.subjectcond-mat.mtrl-sci
dc.subjectSAW devices
dc.subjectGas sensors
dc.subjectSensing materials
dc.subjectMEMS sensors
dc.subjectIDTs
dc.subjectPiezoelectric materials
dc.subject[Tyndall]
dc.titleSurface acoustic wave gas sensors: Innovations in functional materials, sensing dynamics, and signal analysisen
dc.typeArticle (preprint)
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