PMID- 34741365 OWN - NLM STAT- PubMed-not-MEDLINE DCOM- 20211213 LR - 20211214 IS - 1097-0231 (Electronic) IS - 0951-4198 (Linking) VI - 36 IP - 2 DP - 2022 Jan 30 TI - An overlapping peaks separation algorithm for ion mobility spectrometry based on second-order differentiation and dynamic inertia weight particle swarm optimization algorithm. PG - e9220 LID - 10.1002/rcm.9220 [doi] AB - RATIONALE: Ion mobility spectrometry (IMS) is a powerful analytical tool extensively applied in numerous domains. However, there still exists the phenomenon of peaks overlapping in the analysis of isomers with similar structures due to the limited resolution of IMS. In this paper, a dynamic inertia weight particle swarm optimization (DIWPSO) algorithm combined with second-order differentiation is proposed to separate the IMS overlapping peaks efficiently and precisely. METHODS: It can identify the component number of overlapping peaks and limit those parameters (ion mobility, intensity, and full-width at half maximum of each single peak) of the peak model in a small range using second-order differentiation. Based on this, DIWPSO that has been set the best operating parameters is capable of accurately separating IMS overlapping peaks to identify the compound within a short time. RESULTS: A comparison between the performance of DIWPSO and the improved particle swarm optimization (IPSO) found that DIWPSO with separation errors less than 2.34% overall outperforms IPSO whose maximum error is up to 5.58%. Moreover, the running time of DIWPSO is 30-80 times less than that of IPSO, and DIWPSO exhibits stronger robustness. CONCLUSIONS: This method can automatically identify the component number of IMS overlapping peaks and resolve them with muticomponents and different overlapped degrees rapidly and accurately, which further improves the structural resolution of IMS. CI - (c) 2021 John Wiley & Sons Ltd. FAU - Gao, Ren AU - Gao R 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 AUID- ORCID: 0000-0001-5470-225X AD - Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, 315211, China. AD - Institute of Mass Spectrometry, Ningbo University, Ningbo, 315211, China. FAU - Gao, Wenqing AU - Gao W AD - Institute of Mass Spectrometry, Ningbo University, Ningbo, 315211, China. AD - School of Material Science and Chemical Engineering, Ningbo University, Ningbo, 315211, China. FAU - Li, Lei AU - Li L AD - Institute of Mass Spectrometry, Ningbo University, Ningbo, 315211, China. AD - School of Material Science and Chemical Engineering, Ningbo University, Ningbo, 315211, China. FAU - Wang, Xinkai AU - Wang X 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, Bing AU - Wu B 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, Yong AU - Wu Y AUID- ORCID: 0000-0002-6133-9345 AD - Institute of Mass Spectrometry, Ningbo University, Ningbo, 315211, China. AD - School of Material Science and Chemical Engineering, 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. LA - eng GR - 2020C03064/Key Research and Development Program of Zhejiang/ GR - 2021S130/Ningbo Science and Technology Plan Project/ GR - xkzwl1507/K.C. Wong Magna Fund in Ningbo University/ GR - 2018B10075/Science and Technology Major Project of Ningbo/ GR - 61971248/National Natural Science Foundation of China/ GR - U20A20121/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- 2021/11/07 06:00 MHDA- 2021/11/07 06:01 CRDT- 2021/11/06 06:19 PHST- 2021/10/25 00:00 [revised] PHST- 2021/08/07 00:00 [received] PHST- 2021/11/03 00:00 [accepted] PHST- 2021/11/07 06:00 [pubmed] PHST- 2021/11/07 06:01 [medline] PHST- 2021/11/06 06:19 [entrez] AID - 10.1002/rcm.9220 [doi] PST - ppublish SO - Rapid Commun Mass Spectrom. 2022 Jan 30;36(2):e9220. doi: 10.1002/rcm.9220.