Improving Hydrogen Selectivity in Semiconductor Metal Oxide Gas Sensors with Cellulose Nanocrystal Membranes
As hydrogen (H<sub>2</sub>) gains traction as a clean energy carrier, the need for reliable and selective gas sensors becomes increasingly urgent, particularly for detecting H<sub>2</sub> leaks amidst complex gas environments. While semiconducting metal oxide (SMOX)-based sensors are attractive due to their low cost and high sensitivity, their poor selectivity remains a major limitation. In this work, we address this challenge by integrating a gas-selective membrane into the sensor packaging, without altering the sensing material itself. The membrane is produced in situ by drop-casting a suspension of cellulose nanocrystals (CNCs) within the sensor housing. The CNCs self-assemble into a thin, gas-permeable barrier upon solvent evaporation. This simple addition significantly reduces cross-sensitivity to common interfering gases, suppressing the response to 30 ppm of ethanol (EtOH), acetone, ammonia (NH<sub>3</sub>), nitrogen dioxide (NO<sub>2</sub>), and carbon monoxide (CO) by factors of approximately 160, 1500, 370, 90, and 20, respectively, while reducing the H<sub>2</sub> signal by only a factor of 6. The result is a substantial improvement in H<sub>2</sub> selectivity using a low-cost, scalable approach that preserves the original sensor architecture. This method offers a practical path to enhanced performance in SMOX-based gas sensors for safety and energy applications.
Authors
- Pietro Tosato (ORCID: https://orcid.org/0000-0003-1830-3088)
- Antonio Orlando (ORCID: https://orcid.org/0000-0002-4166-8117)
- Luisa Petti (ORCID: https://orcid.org/0000-0003-0264-7185)
- Soufiane Krik (ORCID: https://orcid.org/0000-0002-3986-5066)
- Andrea Gaiardo (ORCID: https://orcid.org/0000-0002-6688-6161)
- Matteo Valt (ORCID: https://orcid.org/0000-0003-2621-5555)
- Marina Scarpa (ORCID: https://orcid.org/0000-0001-8365-2706)
- Guglielmo Trentini
Institutions
- Free University of Bozen-Bolzano (IT)
- University of Trento (IT)
- Fondazione Bruno Kessler (IT)
Publication Details
- Journal
- ACS Sensors
- Published
- 2025-10-16
- DOI
- https://doi.org/10.1021/acssensors.5c01801
- Primary Topic
- Advanced Cellulose Research Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00