MEMS sensor array-based electronic nose for breath analysis —a simulation study

The paper presents a simulation study of breath analysis based on theoretical models of
microelectromechanical structure (MEMS) cantilever sensor array. The purpose of this study is to
suggest a methodology for the development of MEMS electronic nose (e-nose) for monitoring
disease-specific volatiles in exhaled breath. Oxidative stress and diabetes are taken as case
studies for the assessment of e-nose designs. The detection of ethane for general oxidative stress,
isoprene for hypoxia, and acetone for diabetes are considered for targeted detection. A number of
volatiles concurrently present in the exhaled breath are taken as interferents. The MEMS cantilevers
are coated with volatile-selective polymers and are analyzed in both the static and dynamic modes.
The sensor array is defined by polymer selections based on three data mining methods: principal
component analysis (PCA), fuzzy c -means clustering (FCM), and fuzzy subtractive clustering (FSC).
This utilizes vapor/polym...

Source: Journal of Breath Research - October 30, 2018 Category: Respiratory Medicine Authors: Anurag Gupta, T Sonamani Singh and R D S Yadava Source Type: research