A monolithic nano-scale sensor architecture with tuneable gas diffusion for molecular fingerprinting

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dc.contributor.authorJohn, A.T.
dc.contributor.authorTaheri, M.
dc.contributor.authorYuwono, J.A.
dc.contributor.authorKumar, P.
dc.contributor.authorNisbet, D.R.
dc.contributor.authorMurugappan, K.
dc.contributor.authorTricoli, A.
dc.date.issued2024
dc.description.abstractSemiconducting metal oxide (SMO) gas sensors have emerged as an invaluable technology due to their high sensitivity and ease of fabrication. However, they have limited selectivity and require relatively high operational temperatures. Here, we present a monolithic membrane-chemoresistive sensor consisting of a hierarchical metal oxide (MO) and a metal–organic framework (MOF) layer. Both layers were made by sequential aerosol deposition of SnO₂ and ZnO nanoparticles, with the latter being thereafter converted to zeolitic imidazolate framework (ZIF-8) by chemical vapour conversion. The SnO₂ fractal network provides a high surface area for chemical sensing, while the multi-scale porous ZIF-8 membrane offers a controlled gateway for gas molecule diffusion. Notably, our hierarchical dual-layer architecture can tune the analyte sensor response time, allowing discrimination of a variety of gases, including NO₂, ethanol, acetone, methanol, propane, and ethyl benzene. Density Functional Theory (DFT) calculations were implemented to gain further insights into the selectivity mechanism revealing the key role of surface adsorption sites. This approach enables us to develop unique response profiles, fingerprinting the presence of specific gas molecules, with application ranging from industrial safety to environmental monitoring and medical diagnostics.
dc.description.statementofresponsibilityAlishba T. John, Mahdiar Taheri, Jodie A. Yuwono, Priyank Kumar, David R. Nisbet, Krishnan Murugappan and Antonio Tricoli
dc.identifier.citationJournal of Materials Chemistry A, 2024; 12(14):8155-8166
dc.identifier.doi10.1039/d3ta07282g
dc.identifier.issn2050-7488
dc.identifier.issn2050-7496
dc.identifier.orcidYuwono, J.A. [0000-0002-0915-0756]
dc.identifier.urihttps://hdl.handle.net/2440/142340
dc.language.isoen
dc.publisherRoyal Society of Chemistry
dc.relation.granthttp://purl.org/au-research/grants/arc/FT200100939
dc.relation.granthttp://purl.org/au-research/grants/arc/DP190101864
dc.relation.granthttp://purl.org/au-research/grants/nhmrc/GNT1135657
dc.relation.granthttp://purl.org/au-research/grants/arc/FT230100220
dc.rightsThis journal is © The Royal Society of Chemistry 2024
dc.source.urihttp://dx.doi.org/10.1039/d3ta07282g
dc.titleA monolithic nano-scale sensor architecture with tuneable gas diffusion for molecular fingerprinting
dc.typeJournal article
pubs.publication-statusPublished

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