Resolution enhancement of overlapping peaks of ion mobility spectrometry based on improved particle swarm optimization algorithm-Reference-Cited by-同舟云学术

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Resolution enhancement of overlapping peaks of ion mobility spectrometry based on improved particle swarm optimization algorithm

Published:2020-10-16 Issue:1 Volume:35 Page:
ISSN:0951-4198
Container-title:Rapid Communications in Mass Spectrometry
language:en
Short-container-title:Rapid Commun Mass Spectrom

Author:

Zhang Shulei¹²^ORCID,Li Junhui¹²,Xie Chengyi¹²,Wu Qidi¹²,Yu Jiancheng¹²,Tang Keqi²³^ORCID

Affiliation:

1. Faculty of Electrical Engineering and Computer Science Ningbo University Ningbo 315211 China

2. Institute of Mass Spectrometry Ningbo University Ningbo 315211 China

3. School of Material Science and Chemical Engineering Ningbo University Ningbo 315211 China

Funder

Science and Technology Innovation 2025 Major Project of Ningbo

National Natural Science Foundation of China

Publisher

Wiley

Subject

Organic Chemistry,Spectroscopy,Analytical Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/rcm.8935

Reference48 articles.

1. Ion Mobility Spectrometry: Principles and Applications

2. Ion Mobility Spectrometry in Analytical Chemistry

3. ION MOBILITY SPECTROMETRY

4. Membrane inlet ion mobility spectrometry for on-line measurement of ethanol in beer and in yeast fermentation

5. On-line measurement of propofol using membrane inlet ion mobility spectrometer

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2. Overlapping peak separation algorithm for ion mobility spectra based on multistrategy JAYA;Rapid Communications in Mass Spectrometry;2023-08-06

3. An improved algorithm for resolving overlapping peaks in ion mobility spectrometry and its application to the separation of glycan isomers;The Analyst;2023

4. Two‐step particle swarm optimization algorithm for effective deconvolution and resolution enhancement of various overlapping peaks;Rapid Communications in Mass Spectrometry;2022-12-05

5. Deconvolution of overlapping peaks in ion mobility spectrometry based on a multiobjective dynamic teaching‐learning‐based optimization;Rapid Communications in Mass Spectrometry;2022-11-14

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