Possible strategy to use differential mobility spectrometry in real time applications

Differential Mobility Spectrometry (DMS), also called as FAIMS is a variation of atmospheric pressure ion mobility measurement techniques and is capable of providing information about the electric field - mobility dependence of ions. In this method, a combined electric field is used. This field cons...

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Bibliographic Details
Published inInternational journal for ion mobility spectrometry Vol. 23; no. 1; pp. 1 - 8
Main Authors Anttalainen, Osmo, Puton, Jaroslaw, Kontunen, Anton, Karjalainen, Markus, Kumpulainen, Pekka, Oksala, Niku, Safaei, Zahra, Roine, Antti
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.04.2020
Springer Nature B.V
Subjects
Analytical Chemistry
Chemistry
Chemistry and Materials Science
Dangerous Goods
Dependence
Ecotoxicology
Electric fields
Entropy (Information theory)
Ionic mobility
Mathematical analysis
Measurement techniques
Molecular Medicine
Original Research
Physical Chemistry
Proteomics
Real time
Response time
Safety in Chemistry
Scientific imaging
Signal to noise ratio
Spectrometry
Spectroscopy
Two dimensional analysis
Shannon entropy
DMS
Differential mobility spectrometry
FAIMS
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Summary:Differential Mobility Spectrometry (DMS), also called as FAIMS is a variation of atmospheric pressure ion mobility measurement techniques and is capable of providing information about the electric field - mobility dependence of ions. In this method, a combined electric field is used. This field consists of asymmetric oscillating electric field of high intensity and low static field component. Analytical information in DMS is 2-dimensional dependence of ionic current on oscillating field amplitude and the value of static field intensity. The measurement of DMS signal for whole ranges of both variables is time consuming and also generates lot of data. It is a disadvantage of DMS method, which limits the use of this otherwise powerful technology in real time applications that require a response time of few seconds. This paper presents a way to limit measurement time by heuristic knowledge of the properties of the data space and another method based on the concept of Shannon Entropy to find operating parameters satisfying both separation and signal to noise ratio requirements.
ISSN:1435-6163
1865-4584
DOI:10.1007/s12127-019-00251-1