Analytical model for the signal-to-noise-ratio of drift tube ion mobility spectrometers Analytisches Modell für das Signal-Rausch-Verhältnis von Driftzeit-Ionenmobilitätsspektrometern

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OriginalspracheEnglisch
Seiten (von - bis)262-273
Seitenumfang12
FachzeitschriftTechnisches Messen
Jahrgang88
Ausgabenummer5
Frühes Online-Datum20 März 2021
PublikationsstatusVeröffentlicht - 26 Mai 2021

Abstract

While the resolving power of drift tube ion mobility spectrometers has been studied and modelled in detail over the past decades, no comparable model exists for the signal-to-noise-ratio. In this work, we develop an analytical model for the signal-to-noise-ratio of a drift tube ion mobility spectrometer based on the same experimental parameters used for modelling the resolving power. The resulting holistic model agrees well with experimental results and allows simultaneously optimizing both resolving power and signal-to-noise-ratio. Especially, it reveals several unexpected relationships between experimental parameters. First, even though reduced initial ion packet widths result in fewer injected ions and reduced amplifier widths result in more noise, the resulting shift of the optimum operating point when reducing both simultaneously leads to a constant signal-to-noise-ratio. Second, there is no dependence of the signal-to-noise-ratio at the optimum operating point on the drift length, as again the resulting shift of the optimum operating point causes all effects to compensate each other.

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Analytical model for the signal-to-noise-ratio of drift tube ion mobility spectrometers Analytisches Modell für das Signal-Rausch-Verhältnis von Driftzeit-Ionenmobilitätsspektrometern. / Kirk, Ansgar T.; Bohnhorst, Alexander; Zimmermann, Stefan.
in: Technisches Messen, Jahrgang 88, Nr. 5, 26.05.2021, S. 262-273.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

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AU - Kirk, Ansgar T.

AU - Bohnhorst, Alexander

AU - Zimmermann, Stefan

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N2 - While the resolving power of drift tube ion mobility spectrometers has been studied and modelled in detail over the past decades, no comparable model exists for the signal-to-noise-ratio. In this work, we develop an analytical model for the signal-to-noise-ratio of a drift tube ion mobility spectrometer based on the same experimental parameters used for modelling the resolving power. The resulting holistic model agrees well with experimental results and allows simultaneously optimizing both resolving power and signal-to-noise-ratio. Especially, it reveals several unexpected relationships between experimental parameters. First, even though reduced initial ion packet widths result in fewer injected ions and reduced amplifier widths result in more noise, the resulting shift of the optimum operating point when reducing both simultaneously leads to a constant signal-to-noise-ratio. Second, there is no dependence of the signal-to-noise-ratio at the optimum operating point on the drift length, as again the resulting shift of the optimum operating point causes all effects to compensate each other.

AB - While the resolving power of drift tube ion mobility spectrometers has been studied and modelled in detail over the past decades, no comparable model exists for the signal-to-noise-ratio. In this work, we develop an analytical model for the signal-to-noise-ratio of a drift tube ion mobility spectrometer based on the same experimental parameters used for modelling the resolving power. The resulting holistic model agrees well with experimental results and allows simultaneously optimizing both resolving power and signal-to-noise-ratio. Especially, it reveals several unexpected relationships between experimental parameters. First, even though reduced initial ion packet widths result in fewer injected ions and reduced amplifier widths result in more noise, the resulting shift of the optimum operating point when reducing both simultaneously leads to a constant signal-to-noise-ratio. Second, there is no dependence of the signal-to-noise-ratio at the optimum operating point on the drift length, as again the resulting shift of the optimum operating point causes all effects to compensate each other.

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KW - Ion mobility spectrometer

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KW - Trace gas detection

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