Exploring the performance of a functionalized CNT-based sensor array for breathomics through clustering and classification algorithms: from gas sensing of selective biomarkers to discrimination of chronic obstructive pulmonary disease
Funding Information: Breath samples were collected (aer signed consent) from 11 volunteers aged 22–88 years. Among them, 7 volunteers suffer from COPD, while 4 were healthy control volunteers. All volunteers were recruited within a research project funded by the UniversitàCattolica del Sacro Cuore in the frame of the 2016–2018 D 3.2 Strategic Program "Anapnoi". For each volunteer, several samples were collected on different days. An overall number of 52 samples were analysed. Subject characteristics including age, gender, COPD category as well as the number of tests carried out for each subject are shown in Table S1 (in the ESI†). Breath sampling was carried out in a disposable bag (volume = 0.6 liters), containing the sensor array, and inated by breath through a disposable plastic straw. This procedure took around 10–15 seconds until the bag was fully inated. We did not record signicant differences among volunteers during the bag ination phase, likely due to the reduced volume to ll and to the lack ofany lter along the collection pipeline, which could hinder the bag ination step. The overall sensor exposure time inside the bag was set to 3 minutes, to let all sensors fully interact with the breath sample. Funding Information: G. D., S. P., M. C., S. F., P. M., and L. S. acknowledge funding by the UniversitàCattolica del Sacro Cuore in the frame of the 2016–2018 D 3.2 Strategic Program "Anapnoi". L. S. and S. P. acknowledge funding by the Italian Ministry of Education, Universities, and Research (MIUR) through the PRIN 2017-N. 2017NYPHN8 (MADAM) program. F. S. F. and A. G. N. acknowledge Russian Foundation of Basic Research project no. 20-03-00804. I. I. B. acknowledges funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 739570 (ANTARES). Publisher Copyright: © The Royal Society of Chemistry. ; An array of carbon nanotube (CNT)-based sensors was produced for sensing selective biomarkers and evaluating breathomics applications with the aid of ...