PMID- 32929827
OWN - NLM
STAT- PubMed-not-MEDLINE
DCOM- 20201215
LR  - 20201215
IS  - 1097-0231 (Electronic)
IS  - 0951-4198 (Linking)
VI  - 35
IP  - 1
DP  - 2021 Jan 15
TI  - Resolution enhancement of overlapping peaks of ion mobility spectrometry based on 
      improved particle swarm optimization algorithm.
PG  - e8935
LID - 10.1002/rcm.8935 [doi]
AB  - RATIONALE: Ion mobility spectrometry (IMS) is a powerful analytical tool that has 
      been widely applied in many fields. However, the limited structural resolution of 
      IMS results in peak overlapping in the analysis of samples with similar 
      structures. We propose a novel method, improved particle swarm optimization 
      (IPSO), for the separation of IMS overlapping peaks. METHODS: This method, which 
      prevents local optimization, is used to identify the peak model coefficients of 
      IMS. Moreover, we use the half-peak width characteristics of IMS to determine the 
      particle position range, which eliminates impossible combinations of single peaks 
      and reduces the difficulty of identification of coefficients. RESULTS: During a 
      comparison in performance between IPSO and the genetic algorithm (GA), the 
      results show that the maximum separation error of IPSO is only 1.45%, while the 
      error of the GA is up to 17.43%. Moreover, the time consumed by IPSO is 95% less 
      than that of the GA, and IPSO has a greater robustness under the same separation 
      error conditions. CONCLUSIONS: The method proposed provides accurate analytical 
      results in separating overlapping IMS peaks even in cases of severe overlaps, 
      which greatly enhances the structural resolution of IMS.
CI  - (c) 2020 John Wiley & Sons, Ltd.
FAU - Zhang, Shulei
AU  - Zhang S
AUID- ORCID: 0000-0002-3038-7635
AD  - Faculty of Electrical Engineering and Computer Science, Ningbo University, 
      Ningbo, 315211, China.
AD  - Institute of Mass Spectrometry, Ningbo University, Ningbo, 315211, China.
FAU - Li, Junhui
AU  - Li J
AD  - Faculty of Electrical Engineering and Computer Science, Ningbo University, 
      Ningbo, 315211, China.
AD  - Institute of Mass Spectrometry, Ningbo University, Ningbo, 315211, China.
FAU - Xie, Chengyi
AU  - Xie C
AD  - Faculty of Electrical Engineering and Computer Science, Ningbo University, 
      Ningbo, 315211, China.
AD  - Institute of Mass Spectrometry, Ningbo University, Ningbo, 315211, China.
FAU - Wu, Qidi
AU  - Wu Q
AD  - Faculty of Electrical Engineering and Computer Science, Ningbo University, 
      Ningbo, 315211, China.
AD  - Institute of Mass Spectrometry, Ningbo University, Ningbo, 315211, China.
FAU - Yu, Jiancheng
AU  - Yu J
AD  - Faculty of Electrical Engineering and Computer Science, Ningbo University, 
      Ningbo, 315211, China.
AD  - Institute of Mass Spectrometry, Ningbo University, Ningbo, 315211, China.
FAU - Tang, Keqi
AU  - Tang K
AUID- ORCID: 0000-0003-0316-6850
AD  - Institute of Mass Spectrometry, Ningbo University, Ningbo, 315211, China.
AD  - School of Material Science and Chemical Engineering, Ningbo University, Ningbo, 
      315211, China.
LA  - eng
GR  - 2018B10075/Science and Technology Major Project of Ningbo/
GR  - 422004582/Special research funding from the Marine Biotechnology and Marine 
      Engineering Discipline Group in Ningbo University/
GR  - 2020C03064/Key Research and Development Program of Zhejiang/
GR  - 61971248/National Natural Science Foundation of China/
PT  - Journal Article
PL  - England
TA  - Rapid Commun Mass Spectrom
JT  - Rapid communications in mass spectrometry : RCM
JID - 8802365
SB  - IM
EDAT- 2020/09/16 06:00
MHDA- 2020/09/16 06:01
CRDT- 2020/09/15 05:52
PHST- 2020/06/25 00:00 [received]
PHST- 2020/08/12 00:00 [revised]
PHST- 2020/08/26 00:00 [accepted]
PHST- 2020/09/16 06:00 [pubmed]
PHST- 2020/09/16 06:01 [medline]
PHST- 2020/09/15 05:52 [entrez]
AID - 10.1002/rcm.8935 [doi]
PST - ppublish
SO  - Rapid Commun Mass Spectrom. 2021 Jan 15;35(1):e8935. doi: 10.1002/rcm.8935.