Analytical model for the signal-to-noise-ratio of drift tube ion mobility spectrometers

被引:0
|
作者
Kirk, Ansgar T. [1 ]
Bohnhorst, Alexander [1 ]
Zimmermann, Stefan [1 ]
机构
[1] Leibniz Univ Hannover, Inst Elect Engn & Measurement Technol, Appelstr 9A, D-30167 Hannover, Germany
关键词
IMS; ion mobility spectrometer; trace gas detection; resolving power; limit of detection; RESOLVING POWER; AMBIENT-PRESSURE; VOLTAGE; DESIGN;
D O I
10.1515/teme-2021-0013
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
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.
引用
收藏
页码:262 / 273
页数:12
相关论文
共 50 条
  • [11] Novel ion drift tube for high-performance ion mobility spectrometers based on a composite material
    Ahrens, Andre
    Moehle, Janina
    Hitzemann, Moritz
    Zimmermann, Stefan
    INTERNATIONAL JOURNAL FOR ION MOBILITY SPECTROMETRY, 2020, 23 (02) : 75 - 81
  • [12] Augmenting Ion Trap Mass Spectrometers Using a Frequency Modulated Drift Tube Ion Mobility Spectrometer
    Morrison, Kelsey A.
    Siems, William F.
    Clowers, Brian H.
    ANALYTICAL CHEMISTRY, 2016, 88 (06) : 3121 - 3129
  • [13] Robust phase estimation for signals with a low signal-to-noise-ratio
    von Toussaint, U.
    BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING (MAXENT 2014), 2015, 1641 : 246 - 254
  • [14] POSTDETECTION METHOD OF MEASURING PREDETECTION RF SIGNAL-TO-NOISE-RATIO
    BLAKE, LV
    REPORT OF NRL PROGRESS, 1971, (JAN): : 24 - &
  • [15] Non-data-aided signal-to-noise-ratio estimation
    Wiesel, A
    Goldberg, J
    Messer, H
    2002 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, VOLS 1-5, CONFERENCE PROCEEDINGS, 2002, : 197 - 201
  • [16] SIGNAL-TO-NOISE-RATIO EQUATIONS FOR A HETERODYNE LASER-RADAR
    DIMARZIO, CA
    LINDBERG, SC
    APPLIED OPTICS, 1992, 31 (21): : 4240 - 4246
  • [17] Ion multiplexing: Maximizing throughput and signal to noise ratio for ion mobility spectrometry
    Reinecke, Tobias
    Naylor, Cameron N.
    Clowers, Brian H.
    TRAC-TRENDS IN ANALYTICAL CHEMISTRY, 2019, 116 (340-345) : 340 - 345
  • [18] IMPROVING THE SIGNAL-TO-NOISE RATIO IN MASS AND ION KINETIC-ENERGY SPECTROMETERS
    BRENTON, AG
    BEYNON, JH
    MORGAN, RP
    INTERNATIONAL JOURNAL OF MASS SPECTROMETRY AND ION PROCESSES, 1979, 31 (1-2): : 51 - 55
  • [19] Signal-to-noise-ratio scaled coherence weighting for photoacoustic array imaging
    Wang, Yu-Hsin
    Li, Pai-Chi
    PHOTONS PLUS ULTRASOUND: IMAGING AND SENSING 2012, 2012, 8223
  • [20] Pitch Detection Based on Signal-to-Noise-Ratio Estimation and Compensation for Continuous Speech Signal
    Park, Hyung-Woo
    Khil, A-Ra
    Bae, Myung-Jin
    CONVERGENCE AND HYBRID INFORMATION TECHNOLOGY, 2012, 310 : 767 - 774