Dynamic Breath Limonene Sensing at High Selectivity.

PTR-ToF-MS breath analysis diagnostics gas sensors liver disease mobile health nanotechnology

Journal

ACS sensors
ISSN: 2379-3694
Titre abrégé: ACS Sens
Pays: United States
ID NLM: 101669031

Informations de publication

Date de publication:
28 07 2023
Historique:
medline: 31 7 2023
pubmed: 28 6 2023
entrez: 28 6 2023
Statut: ppublish

Résumé

Liver diseases (e.g., cirrhosis, cancer) cause more than two million deaths per year worldwide. This is partly attributed to late diagnosis and insufficient screening techniques. A promising biomarker for noninvasive and inexpensive liver disease screening is breath limonene that can indicate a deficiency of the cytochrome P450 liver enzymes. Here, we introduce a compact and low-cost detector for dynamic and selective breath limonene sensing. It comprises a chemoresistive sensor based on Si/WO

Identifiants

pubmed: 37377394
doi: 10.1021/acssensors.3c00439
doi:

Substances chimiques

Limonene 9MC3I34447
Acetone 1364PS73AF
Protons 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2618-2626

Auteurs

Ines C Weber (IC)

Particle Technology Laboratory, Department of Mechanical and Process Engineering, ETH Zürich, CH-8092 Zürich, Switzerland.
Department of Endocrinology, Diabetology, and Clinical Nutrition, University Hospital Zürich (USZ) and University of Zürich (UZH), CH-8091 Zürich, Switzerland.

Dina N Oosthuizen (DN)

Particle Technology Laboratory, Department of Mechanical and Process Engineering, ETH Zürich, CH-8092 Zürich, Switzerland.

Rawan W Mohammad (RW)

Particle Technology Laboratory, Department of Mechanical and Process Engineering, ETH Zürich, CH-8092 Zürich, Switzerland.

Chris A Mayhew (CA)

Institute for Breath Research, Universität Innsbruck, Innsbruck A-6020, Austria.

Sotiris E Pratsinis (SE)

Particle Technology Laboratory, Department of Mechanical and Process Engineering, ETH Zürich, CH-8092 Zürich, Switzerland.

Andreas T Güntner (AT)

Department of Endocrinology, Diabetology, and Clinical Nutrition, University Hospital Zürich (USZ) and University of Zürich (UZH), CH-8091 Zürich, Switzerland.
Human-centered Sensor Laboratory, Department of Mechanical and Process Engineering, ETH Zürich, CH-8092 Zürich, Switzerland.

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Classifications MeSH