Literature DB >> 35124551

Fourier Deconvolution Ion Mobility Spectrometry.

Wenyan Hu1, Qingyan Meng2, Ying Lu1, Yanfeng Xu1, Okonkwo Juliet Nwadiuso1, Jianna Yu3, Wen Liu1, Guoxing Jing1, Wenshan Li1, Wenjie Liu4.   

Abstract

Multiplexing the ion packet injection with advanced signal processing is an effective method to improve both the ion throughput and signal-to-noise ratio for ion mobility spectrometry. Generally used multiplexing methods include Hadamard transform ion mobility spectrometry (HT-IMS), Fourier transform ion mobility spectrometry (FT-IMS), and correlation ion mobility spectrometry (C-IMS). However, HT-IMS sometimes suffer from false peaks and further processing is needed, FT-IMS generally requires longer spectra acquisition time than the traditional signal averaging method, and C-IMS also demonstrated drawbacks such as spectra baseline distortions when using traditional on-off binary gating switches. To improve the performance of multiplexing ion mobility spectrometry, this study investigates the Fourier deconvolution to increase the resolving power and signal-to-noise ratio at the same time. This approach modulates the ion gate with a linear square wave chirp sequence and synchronizes the data acquisition and ion gate modulation and then reconstructs the ion mobility spectra based on convolution theorems. The equivalent ion injection period is decreased to microseconds scale with the signal-to-noise ratio improved by up to 13 times on average, and the resolving power is improved by up to 50% compared with traditional signal averaging methods without hardware modifications.
Copyright © 2022. Published by Elsevier B.V.

Entities:  

Keywords:  Fourier deconvolution; Ion mobility spectrometry; Multiplexing; Resolving power; Signal-to-noise ratio

Mesh:

Year:  2022        PMID: 35124551     DOI: 10.1016/j.talanta.2022.123270

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


  2 in total

1.  Miniaturized Photo-Ionization Fourier Deconvolution Ion Mobility Spectrometer for the Detection of Volatile Organic Compounds.

Authors:  Binwang Yang; Jianna Yu; Wen Liu; Guoxing Jing; Wenshan Li; Wenjie Liu
Journal:  Sensors (Basel)       Date:  2022-07-22       Impact factor: 3.847

2.  An Optimal Subspace Deconvolution Algorithm for Robust and High-Resolution Beamforming.

Authors:  Xiruo Su; Qiuyan Miao; Xinglin Sun; Haoran Ren; Lingyun Ye; Kaichen Song
Journal:  Sensors (Basel)       Date:  2022-03-17       Impact factor: 3.576

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.