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Development of a Sensing Array for Human Breath Analysis Based on SWCNT Layers Functionalized with Semiconductor Organic Molecules

Authors :
Luigi Sangaletti
Sonia Freddi
Albert G. Nasibulin
Aleksei V. Emelianov
Giovanni Drera
Maria Chiesa
Ivan I. Bobrinetskiy
Paolo Montuschi
Umberto Moscato
Stefania Pagliara
Giuseppe Santini
Daria S. Kopylova
Nadia Mores
Catholic University of the Sacred Heart
National Research University of Electronic Technology
Skolkovo Institute of Science and Technology
Policlinico Universitario Agostino Gemelli
Department of Chemistry and Materials Science
Aalto-yliopisto
Aalto University
Publication Year :
2020
Publisher :
John Wiley and Sons Ltd, 2020.

Abstract

A sensor array based on heterojunctions between semiconducting organic layers and single walled carbon nanotube (SWCNT) films is produced to explore applications in breathomics, the molecular analysis of exhaled breath. The array is exposed to gas/volatiles relevant to specific diseases (ammonia, ethanol, acetone, 2-propanol, sodium hypochlorite, benzene, hydrogen sulfide, and nitrogen dioxide). Then, to evaluate its capability to operate with real relevant biological samples the array is exposed to human breath exhaled from healthy subjects. Finally, to provide a proof of concept of its diagnostic potential, the array is exposed to exhaled breath samples collected from subjects with chronic obstructive pulmonary disease (COPD), an airway chronic inflammatory disease not yet investigated with CNT-based sensor arrays, and breathprints are compared with those obtained from of healthy subjects. Principal component analysis shows that the sensor array is able to detect various target gas/volatiles with a clear fingerprint on a 2D subspace, is suitable for breath profiling in exhaled human breath, and is able to distinguish subjects with COPD from healthy subjects based on their breathprints. This classification ability is further improved by selecting the most responsive sensors to nitrogen dioxide, a potential biomarker of COPD.

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....44bfe44cb9fcf671278563f47b6c1774