Revealing Polymorph-Specific Transduction in WO3 during Acetone Sensing


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Date

2025-08-05

Publication Type

Working Paper

ETH Bibliography

yes

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Data

Abstract

Polymorphs are distinct structural forms of the same compound and offer unique opportunities to tailor material properties without altering chemical composition. In particular, the polymorphs of WO have been widely explored for their molecular sensing performance; yet, the mechanistic aspects behind their different chemoresistive properties have remained elusive or poorly understood. Here, we highlight the energetic allocation of transferred charge as a critical aspect for chemoresistive response generation, providing a new perspective beyond more conventional net-transfer metrics, which are usually deployed to investigate gas-solid interactions. To this, we combined operando work function, chemisorption analysis, and in situ spectroscopy with density functional theory calculations on the example of acetone. Both gamma- and -WO exhibit comparable surface-level activation of acetone, mediated by electron-deficient, coordinatively unsaturated tungsten sites. However, only -WO stabilizes analyte-induced electronic states derived from W(5d) orbitals lying just below the conduction band - an energetically favourable region for conductivity modulation under operating conditions. While being associated with marginal work function shifts, these states reflect deeper subsurface electronic rearrangements that may underlie the -WO's superior transduction efficiency despite similar receptor chemistry. Our results offer a new framework for rational transducer development rooted in intrinsic electronic structure.

Publication status

published

Editor

Book title

Journal / series

Volume

Pages / Article No.

2508.0351

Publisher

Cornell University

Event

Edition / version

v1

Methods

Software

Geographic location

Date collected

Date created

Subject

Nanotechnology; Semiconductors; Electronic structure; Surfaces; Gas sensors

Organisational unit

09794 - Güntner, Andreas / Güntner, Andreas check_circle

Notes

Funding

218650 - Early-stage detection of nutritional disorder in dairy cows with nanostructured sensors (SNF)

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