Optimization of Metal Oxide Nanosensors and Development of a Feature Extraction Algorithm to Analyze VOC Profiles in Exhaled Breath

• Published in: IEEE sensors journal Vol. 23; no. 15; p. 1
• Main Authors: Maciel, Mariana, Sankari, Safiya, Woollam, Mark, Agarwal, Mangilal
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.08.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Biomarkers; Breath biopsy; Breath tests; Electric potential; Electronic noses; Feature extraction; Fractionation; Humidity; metal oxide sensors; Metal oxides; Nanosensors; Optimization; Parameters; Peak values; Reproducibility; Sampling methods; Sensor arrays; sensor optimization; Sensors; Tin dioxide; tin oxide sensors; VOCs; Volatile organic compounds; Voltage

Exhaled volatile organic compounds (VOCs) have been identified as biomarkers for different diseases. Electronic noses (e-Noses) utilizing metal oxide (MOX) sensors for VOC detection are sensitive to a range of gases and offer rapid detection and portability. E-Noses have integrated feature extractio...