Clustering of Alpha Curves in Differential Mobility Spectrometry Data
Rauhameri, Anton; Anttalainen, Osmo; Rantala, Jussi; Surakka, Veikko; Vehkaoja, Antti; Müller, Philipp (2022-05-29)
Rauhameri, Anton
Anttalainen, Osmo
Rantala, Jussi
Surakka, Veikko
Vehkaoja, Antti
Müller, Philipp
29.05.2022
2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tuni-202210187660
https://urn.fi/URN:NBN:fi:tuni-202210187660
Kuvaus
Peer reviewed
Tiivistelmä
Volatile organic compounds (VOC) can be analyzed and classified based on dispersion plots yielded by Differential Mobility Spectrometry (DMS). These dispersion plots contain traces, also known as alpha curves that indicate the presence of VOCs with specific charge and cross-sectional area. However, often the dispersion plots are analyzed without utilizing this information but rather using the pixel values independently or analyzing values at a specific high electric field level. This paper proposes a technique for extracting and clustering alpha curves from dispersion plots. The cluster information could then be used inside existing detection and classification algorithms to potentially improve their accuracy
Kokoelmat
- TUNICRIS-julkaisut [16929]