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Differentiation of aspirated nasal air from room air using analysis with a differential mobility spectrometry-based electronic nose: a proof-of-concept study

Virtanen, Jussi; Anttalainen, Anna; Ormiskangas, Jaakko; Karjalainen, Markus; Kontunen, Anton; Rautiainen, Markus; Oksala, Niku; Kivekäs, Ilkka; Roine, Antti (2021-01)

 
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Virtanen, Jussi
Anttalainen, Anna
Ormiskangas, Jaakko
Karjalainen, Markus
Kontunen, Anton
Rautiainen, Markus
Oksala, Niku
Kivekäs, Ilkka
Roine, Antti
01 / 2021

JOURNAL OF BREATH RESEARCH
016004
This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.
doi:10.1088/1752-7163/ac3b39
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tuni-202202011766

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Peer reviewed
Tiivistelmä
<p>Over the last few decades, breath analysis using electronic nose (eNose) technology has become a topic of intense research, as it is both non-invasive and painless, and is suitable for point-of-care use. To date, however, only a few studies have examined nasal air. As the air in the oral cavity and the lungs differs from the air in the nasal cavity, it is unknown whether aspirated nasal air could be exploited with eNose technology. Compared to traditional eNoses, differential mobility spectrometry uses an alternating electrical field to discriminate the different molecules of gas mixtures, providing analogous information. This study reports the collection of nasal air by aspiration and the subsequent analysis of the collected air using a differential mobility spectrometer. We collected nasal air from ten volunteers into breath collecting bags and compared them to bags of room air and the air aspirated through the device. Distance and dissimilarity metrics between the sample types were calculated and statistical significance evaluated with Kolmogorov-Smirnov test. After leave-one-day-out cross-validation, a shrinkage linear discriminant classifier was able to correctly classify 100% of the samples. The nasal air differed (p < 0.05) from the other sample types. The results show the feasibility of collecting nasal air by aspiration and subsequent analysis using differential mobility spectrometry, and thus increases the potential of the method to be used in disease detection studies.</p>
Kokoelmat
  • TUNICRIS-julkaisut [20247]
Kalevantie 5
PL 617
33014 Tampereen yliopisto
oa[@]tuni.fi | Tietosuoja | Saavutettavuusseloste
 

 

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Kalevantie 5
PL 617
33014 Tampereen yliopisto
oa[@]tuni.fi | Tietosuoja | Saavutettavuusseloste