Genetic algorithm parallel optimization of a new high mass resolution planar electrostatic ion trap mass analyzer
The study and design of high-resolution mass analyzers is a very important task in mass spectrometry. A planar electrostatic ion trap (PEIT) mass analyzer with image charge detection and FT-based data processing has been developed, theoretically simulated, and experimentally validated. However, the...
Saved in:
Published in | Analyst (London) Vol. 147; no. 24; pp. 5764 - 5774 |
---|---|
Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
London
Royal Society of Chemistry
05.12.2022
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | The study and design of high-resolution mass analyzers is a very important task in mass spectrometry. A planar electrostatic ion trap (PEIT) mass analyzer with image charge detection and FT-based data processing has been developed, theoretically simulated, and experimentally validated. However, the 10 ring electrode configuration (PEIT-10) is difficult for mechanical construction and voltage tuning; moreover, few methods have been reported for optimizing the performance of multi-electrode mass analyzers. In this article, a simplified PEIT-7 mass analyzer was designed, and a genetic algorithm parallel optimization (GAPO) method was developed for optimizing multiple voltage settings of the new PEIT-7 mass analyzer to achieve spatial and energy isochronicity as well as iso-coordinate property. The automatic voltage optimization processes for the reduction of time aberration and spatial aberration showed that the developed GAPO method can significantly improve the optimization efficiency (the optimal voltage set being found within 5 hours with a maximum time aberration of 15 ps and a maximum
z
aberration of 0.10 μm). Based on the results obtained from the GAPO method, the resolving power of the PEIT-7 mass analyzer for six groups of ions with closely packed masses (
m
/
z
= 117.000 Th to 117.010 Th) was demonstrated, and a mass resolution of 171k was achieved at an acquisition time of 200 ms. The established GAPO method facilitates the design and optimization of high-resolution mass analyzers and may be useful for the design of other multi-electrode ion optical devices.
Angular precessing ion trajectory and simulated mass spectrum from PEIT-7 mass analyzer. |
---|---|
AbstractList | The study and design of high-resolution mass analyzers is a very important task in mass spectrometry. A planar electrostatic ion trap (PEIT) mass analyzer with image charge detection and FT-based data processing has been developed, theoretically simulated, and experimentally validated. However, the 10 ring electrode configuration (PEIT-10) is difficult for mechanical construction and voltage tuning; moreover, few methods have been reported for optimizing the performance of multi-electrode mass analyzers. In this article, a simplified PEIT-7 mass analyzer was designed, and a genetic algorithm parallel optimization (GAPO) method was developed for optimizing multiple voltage settings of the new PEIT-7 mass analyzer to achieve spatial and energy isochronicity as well as iso-coordinate property. The automatic voltage optimization processes for the reduction of time aberration and spatial aberration showed that the developed GAPO method can significantly improve the optimization efficiency (the optimal voltage set being found within 5 hours with a maximum time aberration of 15 ps and a maximum
z
aberration of 0.10 μm). Based on the results obtained from the GAPO method, the resolving power of the PEIT-7 mass analyzer for six groups of ions with closely packed masses (
m
/
z
= 117.000 Th to 117.010 Th) was demonstrated, and a mass resolution of 171k was achieved at an acquisition time of 200 ms. The established GAPO method facilitates the design and optimization of high-resolution mass analyzers and may be useful for the design of other multi-electrode ion optical devices.
Angular precessing ion trajectory and simulated mass spectrum from PEIT-7 mass analyzer. The study and design of high-resolution mass analyzers is a very important task in mass spectrometry. A planar electrostatic ion trap (PEIT) mass analyzer with image charge detection and FT-based data processing has been developed, theoretically simulated, and experimentally validated. However, the 10 ring electrode configuration (PEIT-10) is difficult for mechanical construction and voltage tuning; moreover, few methods have been reported for optimizing the performance of multi-electrode mass analyzers. In this article, a simplified PEIT-7 mass analyzer was designed, and a genetic algorithm parallel optimization (GAPO) method was developed for optimizing multiple voltage settings of the new PEIT-7 mass analyzer to achieve spatial and energy isochronicity as well as iso-coordinate property. The automatic voltage optimization processes for the reduction of time aberration and spatial aberration showed that the developed GAPO method can significantly improve the optimization efficiency (the optimal voltage set being found within 5 hours with a maximum time aberration of 15 ps and a maximum z aberration of 0.10 μm). Based on the results obtained from the GAPO method, the resolving power of the PEIT-7 mass analyzer for six groups of ions with closely packed masses ( m / z = 117.000 Th to 117.010 Th) was demonstrated, and a mass resolution of 171k was achieved at an acquisition time of 200 ms. The established GAPO method facilitates the design and optimization of high-resolution mass analyzers and may be useful for the design of other multi-electrode ion optical devices. The study and design of high-resolution mass analyzers is a very important task in mass spectrometry. A planar electrostatic ion trap (PEIT) mass analyzer with image charge detection and FT-based data processing has been developed, theoretically simulated, and experimentally validated. However, the 10 ring electrode configuration (PEIT-10) is difficult for mechanical construction and voltage tuning; moreover, few methods have been reported for optimizing the performance of multi-electrode mass analyzers. In this article, a simplified PEIT-7 mass analyzer was designed, and a genetic algorithm parallel optimization (GAPO) method was developed for optimizing multiple voltage settings of the new PEIT-7 mass analyzer to achieve spatial and energy isochronicity as well as iso-coordinate property. The automatic voltage optimization processes for the reduction of time aberration and spatial aberration showed that the developed GAPO method can significantly improve the optimization efficiency (the optimal voltage set being found within 5 hours with a maximum time aberration of 15 ps and a maximum z aberration of 0.10 μm). Based on the results obtained from the GAPO method, the resolving power of the PEIT-7 mass analyzer for six groups of ions with closely packed masses (m/z = 117.000 Th to 117.010 Th) was demonstrated, and a mass resolution of 171k was achieved at an acquisition time of 200 ms. The established GAPO method facilitates the design and optimization of high-resolution mass analyzers and may be useful for the design of other multi-electrode ion optical devices. The study and design of high-resolution mass analyzers is a very important task in mass spectrometry. A planar electrostatic ion trap (PEIT) mass analyzer with image charge detection and FT-based data processing has been developed, theoretically simulated, and experimentally validated. However, the 10 ring electrode configuration (PEIT-10) is difficult for mechanical construction and voltage tuning; moreover, few methods have been reported for optimizing the performance of multi-electrode mass analyzers. In this article, a simplified PEIT-7 mass analyzer was designed, and a genetic algorithm parallel optimization (GAPO) method was developed for optimizing multiple voltage settings of the new PEIT-7 mass analyzer to achieve spatial and energy isochronicity as well as iso-coordinate property. The automatic voltage optimization processes for the reduction of time aberration and spatial aberration showed that the developed GAPO method can significantly improve the optimization efficiency (the optimal voltage set being found within 5 hours with a maximum time aberration of 15 ps and a maximum z aberration of 0.10 μm). Based on the results obtained from the GAPO method, the resolving power of the PEIT-7 mass analyzer for six groups of ions with closely packed masses (m/z = 117.000 Th to 117.010 Th) was demonstrated, and a mass resolution of 171k was achieved at an acquisition time of 200 ms. The established GAPO method facilitates the design and optimization of high-resolution mass analyzers and may be useful for the design of other multi-electrode ion optical devices.The study and design of high-resolution mass analyzers is a very important task in mass spectrometry. A planar electrostatic ion trap (PEIT) mass analyzer with image charge detection and FT-based data processing has been developed, theoretically simulated, and experimentally validated. However, the 10 ring electrode configuration (PEIT-10) is difficult for mechanical construction and voltage tuning; moreover, few methods have been reported for optimizing the performance of multi-electrode mass analyzers. In this article, a simplified PEIT-7 mass analyzer was designed, and a genetic algorithm parallel optimization (GAPO) method was developed for optimizing multiple voltage settings of the new PEIT-7 mass analyzer to achieve spatial and energy isochronicity as well as iso-coordinate property. The automatic voltage optimization processes for the reduction of time aberration and spatial aberration showed that the developed GAPO method can significantly improve the optimization efficiency (the optimal voltage set being found within 5 hours with a maximum time aberration of 15 ps and a maximum z aberration of 0.10 μm). Based on the results obtained from the GAPO method, the resolving power of the PEIT-7 mass analyzer for six groups of ions with closely packed masses (m/z = 117.000 Th to 117.010 Th) was demonstrated, and a mass resolution of 171k was achieved at an acquisition time of 200 ms. The established GAPO method facilitates the design and optimization of high-resolution mass analyzers and may be useful for the design of other multi-electrode ion optical devices. |
Author | Wu, Fangling Ding, Chuan-Fan Wang, Weimin Wu, Huanmin Ding, Li Xu, Fuxing |
AuthorAffiliation | Institute of Mass spectrometry Ningbo University Key Laboratory of Advanced Mass spectrometry and Molecular Analysis of Zhejiang Province School of Material Science and Chemical Engineering |
AuthorAffiliation_xml | – name: Ningbo University – name: School of Material Science and Chemical Engineering – name: Institute of Mass spectrometry – name: Key Laboratory of Advanced Mass spectrometry and Molecular Analysis of Zhejiang Province |
Author_xml | – sequence: 1 givenname: Weimin surname: Wang fullname: Wang, Weimin – sequence: 2 givenname: Fuxing surname: Xu fullname: Xu, Fuxing – sequence: 3 givenname: Fangling surname: Wu fullname: Wu, Fangling – sequence: 4 givenname: Huanmin surname: Wu fullname: Wu, Huanmin – sequence: 5 givenname: Chuan-Fan surname: Ding fullname: Ding, Chuan-Fan – sequence: 6 givenname: Li surname: Ding fullname: Ding, Li |
BookMark | eNpt0c1LwzAUAPAgCm7qxbsQ8CJCNR9N2x1l8wtEL3ouWfrqImlTkxTZ_nrTVRSGpxDe7z3exxTtt7YFhE4puaKEz64rJltCRVZUe2hCeZYmQrBiH00IITxhmUgP0dT7j_ilRJAJ-ryHFoJWWJp363RYNbiTThoDBtsu6EZvZNC2xbbGErfwhVf6fYUb6T124K3pt9HOyFY6DAZUcNYHOZQcAsHJbtQRmPUG3DE6qKXxcPLzHqG3u9vX-UPy9HL_OL95ShSnaUiEqlOhciGg4HUtipoJVeQpK4DwbElTQvJlwZcxIrmoi0pIAmmVcxAZYxXL-RG6GOt2zn724EPZaK_AxE7B9r6MZEaynHIe6fkO_bC9i_0OKhXZLBN0UGRUKk7oHdSl0mG7nDikNiUl5XCDcsFunrc3WMSUy52UzulGuvX_-GzEzqtf93dQ_g0qzZO1 |
CitedBy_id | crossref_primary_10_1146_annurev_anchem_061522_040824 crossref_primary_10_1021_acs_analchem_5c00006 crossref_primary_10_1021_jasms_3c00205 crossref_primary_10_1021_jasms_3c00417 |
Cites_doi | 10.1002/rcm.8654 10.1021/jasms.1c00062 10.1021/jasms.1c00016 10.1021/acs.analchem.9b04768 10.1177/1469066720984380 10.1021/acs.analchem.9b00206 10.1016/j.aca.2010.12.023 10.1007/s13361-017-1868-8 10.1002/mas.20186 10.1021/acs.analchem.9b03560 10.1142/S0217751X19420053 10.1039/C7AN00565B 10.1139/v04-037 10.1255/ejms.1265 10.1021/ac1010348 10.3389/fchem.2021.813359 10.6000/1929-5030.2017.06.01.1 10.1007/s13361-012-0573-x 10.1007/978-3-319-41448-5_7 10.1021/ac4001223 10.1016/j.chroma.2019.460427 10.1002/jms.2001 10.1103/PhysRevSTAB.10.064002 10.1016/j.phpro.2015.09.070 10.1016/j.phpro.2008.07.120 10.1016/j.jasms.2009.01.005 10.1021/ac203191t 10.1134/1.1854827 10.1007/s13361-018-1969-z 10.1021/jasms.0c00445 10.1002/mas.21650 10.1016/j.apm.2012.11.010 |
ContentType | Journal Article |
Copyright | Copyright Royal Society of Chemistry 2022 |
Copyright_xml | – notice: Copyright Royal Society of Chemistry 2022 |
DBID | AAYXX CITATION 7SR 7U5 8BQ 8FD JG9 L7M 7X8 |
DOI | 10.1039/d2an01568d |
DatabaseName | CrossRef Engineered Materials Abstracts Solid State and Superconductivity Abstracts METADEX Technology Research Database Materials Research Database Advanced Technologies Database with Aerospace MEDLINE - Academic |
DatabaseTitle | CrossRef Materials Research Database Engineered Materials Abstracts Solid State and Superconductivity Abstracts Technology Research Database Advanced Technologies Database with Aerospace METADEX MEDLINE - Academic |
DatabaseTitleList | CrossRef Materials Research Database MEDLINE - Academic |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Chemistry |
EISSN | 1364-5528 |
EndPage | 5774 |
ExternalDocumentID | 10_1039_D2AN01568D d2an01568d |
GroupedDBID | --- -JG -~X .HR 0-7 0R~ 1TJ 23M 4.4 5RE 705 70~ 7~J 8W4 AAEMU AAGNR AAIWI AANOJ AAXPP ABASK ABDVN ABFLS ABGFH ABOCM ABPTK ABRYZ ACGFS ACHRU ACIWK ACLDK ADMRA ADSRN AENEX AFOGI AFVBQ AGRSR AGSTE ALMA_UNASSIGNED_HOLDINGS ANUXI ASKNT AUDPV AZFZN BLAPV BSQNT C6K CAG CS3 EBS ECGLT EE0 EF- F5P GNO HZ~ H~N IDZ J3I N9A O9- P2P R7B R7E RAOCF RCNCU RPMJG RRA RRC RSCEA SKM SKR SKZ SLC SLF TN5 UPT VH6 WH7 ~02 AAJAE AAWGC AAXHV AAYXX ABEMK ABJNI ABPDG ABXOH AEFDR AENGV AESAV AETIL AFLYV AFRZK AGEGJ AHGCF AKMSF APEMP CITATION COF GGIMP H13 M4U R56 2WC 7SR 7U5 8BQ 8FD JG9 L7M 7X8 |
ID | FETCH-LOGICAL-c314t-5cf45c755e83ff58f25c87428e036b14007b83bf58a35f8d5a0e4d73e5622d273 |
ISSN | 0003-2654 1364-5528 |
IngestDate | Thu Jul 10 22:07:33 EDT 2025 Sun Jun 29 15:45:32 EDT 2025 Tue Jul 01 01:57:14 EDT 2025 Thu Apr 24 22:57:30 EDT 2025 Mon Dec 05 23:52:19 EST 2022 |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 24 |
Language | English |
LinkModel | OpenURL |
MergedId | FETCHMERGED-LOGICAL-c314t-5cf45c755e83ff58f25c87428e036b14007b83bf58a35f8d5a0e4d73e5622d273 |
Notes | 117.000 Th to 117.0025 Th). See DOI Electronic supplementary information (ESI) available: Schematic view of angularly-precessing ion motion; genetic algorithm; GAPO optimization ion trajectory and results; mean fitness of the ions for different max V Pareto Frontier points table; simulated mass spectra for six groups of ions separated by 0.0005 Th z ratios over the iterations m https://doi.org/10.1039/d2an01568d n / optimization with GAPO to reduce HZ ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
ORCID | 0000-0001-6120-5753 0000-0001-8434-0835 0000-0002-3530-1781 |
PQID | 2745696513 |
PQPubID | 2047505 |
PageCount | 11 |
ParticipantIDs | crossref_citationtrail_10_1039_D2AN01568D crossref_primary_10_1039_D2AN01568D rsc_primary_d2an01568d proquest_miscellaneous_2739067133 proquest_journals_2745696513 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | 2022-12-05 |
PublicationDateYYYYMMDD | 2022-12-05 |
PublicationDate_xml | – month: 12 year: 2022 text: 2022-12-05 day: 05 |
PublicationDecade | 2020 |
PublicationPlace | London |
PublicationPlace_xml | – name: London |
PublicationTitle | Analyst (London) |
PublicationYear | 2022 |
Publisher | Royal Society of Chemistry |
Publisher_xml | – name: Royal Society of Chemistry |
References | Johnson (D2AN01568D/cit15/1) 2019; 91 Grinfeld (D2AN01568D/cit34/1) 2014; 20 Ding (D2AN01568D/cit18/1) 2019; 91 Duan (D2AN01568D/cit31/1) 2018; 29 Vaysse (D2AN01568D/cit32/1) 2017; 142 Ding (D2AN01568D/cit17/1) 2013; 24 Xian (D2AN01568D/cit4/1) 2012; 84 Rusinov (D2AN01568D/cit19/1) 2021; 32 Schmitt-Kopplin (D2AN01568D/cit10/1) 2019 Makarov (D2AN01568D/cit20/1) 2009; 20 Meerts (D2AN01568D/cit21/1) 2004; 82 Elsayed (D2AN01568D/cit33/1) 2013; 37 Shchepunov (D2AN01568D/cit27/1) 2019; 34 Alvarez-Segura (D2AN01568D/cit26/1) 2020; 1609 Xu (D2AN01568D/cit16/1) 2018; 29 Erdelyi (D2AN01568D/cit28/1) 2007; 10 Shahi (D2AN01568D/cit14/1) 2020 Jrgen (D2AN01568D/cit1/1) 2017 Kline (D2AN01568D/cit12/1) 2021; 32 Haag (D2AN01568D/cit2/1) 2016; 919 Verenchikov (D2AN01568D/cit8/1) 2017; 6 Shimma (D2AN01568D/cit7/1) 2010; 82 Karpov (D2AN01568D/cit23/1) 2015; 72 Bowman (D2AN01568D/cit9/1) 2020; 92 Town (D2AN01568D/cit22/1) 2020; 34 Ortiz (D2AN01568D/cit25/1) 2011; 687 Perry (D2AN01568D/cit35/1) 2008; 27 Li (D2AN01568D/cit3/1) 2021; 9 Jiang (D2AN01568D/cit6/1) 2021; 32 Yavor (D2AN01568D/cit30/1) 2008; 1 Brais (D2AN01568D/cit5/1) 2021; 40 Zubarev (D2AN01568D/cit11/1) 2013; 85 Bieler (D2AN01568D/cit24/1) 2011; 46 Raupers (D2AN01568D/cit13/1) 2021; 27 Verentchikov (D2AN01568D/cit29/1) 2005; 50 |
References_xml | – issn: 2017 publication-title: Mass Spectrometry: A Textbook doi: Jrgen – issn: 2019 publication-title: Fundamentals and applications of Fourier transform mass spectrometry doi: Schmitt-Kopplin Kanawati – volume: 34 start-page: e8654 year: 2020 ident: D2AN01568D/cit22/1 publication-title: Rapid Commun. Mass Spectrom. doi: 10.1002/rcm.8654 – volume: 32 start-page: 2334 year: 2021 ident: D2AN01568D/cit12/1 publication-title: J. Am. Soc. Mass Spectrom. doi: 10.1021/jasms.1c00062 – volume-title: Fundamentals and applications of Fourier transform mass spectrometry year: 2019 ident: D2AN01568D/cit10/1 – volume: 32 start-page: 1196 year: 2021 ident: D2AN01568D/cit6/1 publication-title: J. Am. Soc. Mass Spectrom. doi: 10.1021/jasms.1c00016 – volume: 92 start-page: 3133 year: 2020 ident: D2AN01568D/cit9/1 publication-title: Anal. Chem. doi: 10.1021/acs.analchem.9b04768 – volume: 27 start-page: 3 year: 2021 ident: D2AN01568D/cit13/1 publication-title: Eur. J. Mass Spectrom. doi: 10.1177/1469066720984380 – volume: 91 start-page: 7595 year: 2019 ident: D2AN01568D/cit18/1 publication-title: Anal. Chem. doi: 10.1021/acs.analchem.9b00206 – volume: 687 start-page: 129 year: 2011 ident: D2AN01568D/cit25/1 publication-title: Anal. Chim. Acta doi: 10.1016/j.aca.2010.12.023 – volume: 29 start-page: 613 year: 2018 ident: D2AN01568D/cit16/1 publication-title: J. Am. Soc. Mass Spectrom. doi: 10.1007/s13361-017-1868-8 – volume: 27 start-page: 661 year: 2008 ident: D2AN01568D/cit35/1 publication-title: Mass Spectrom. Rev. doi: 10.1002/mas.20186 – start-page: 122028 year: 2020 ident: D2AN01568D/cit14/1 publication-title: J. Phys.: Conf. Ser. – volume: 91 start-page: 12574 year: 2019 ident: D2AN01568D/cit15/1 publication-title: Anal. Chem. doi: 10.1021/acs.analchem.9b03560 – volume: 34 start-page: 1942005 year: 2019 ident: D2AN01568D/cit27/1 publication-title: Int. J. Mod. Phys. A doi: 10.1142/S0217751X19420053 – volume: 142 start-page: 2690 year: 2017 ident: D2AN01568D/cit32/1 publication-title: Analyst doi: 10.1039/C7AN00565B – volume-title: Mass Spectrometry: A Textbook year: 2017 ident: D2AN01568D/cit1/1 – volume: 82 start-page: 804 year: 2004 ident: D2AN01568D/cit21/1 publication-title: Can. J. Chem. doi: 10.1139/v04-037 – volume: 20 start-page: 131 year: 2014 ident: D2AN01568D/cit34/1 publication-title: Eur. J. Mass Spectrom. doi: 10.1255/ejms.1265 – volume: 82 start-page: 8456 year: 2010 ident: D2AN01568D/cit7/1 publication-title: Anal. Chem. doi: 10.1021/ac1010348 – volume: 9 start-page: 813359 year: 2021 ident: D2AN01568D/cit3/1 publication-title: Front. Chem. doi: 10.3389/fchem.2021.813359 – volume: 6 start-page: 1 year: 2017 ident: D2AN01568D/cit8/1 publication-title: J. Appl. Solution Chem. Model. doi: 10.6000/1929-5030.2017.06.01.1 – volume: 24 start-page: 356 year: 2013 ident: D2AN01568D/cit17/1 publication-title: J. Am. Soc. Mass Spectrom. doi: 10.1007/s13361-012-0573-x – volume: 919 start-page: 157 year: 2016 ident: D2AN01568D/cit2/1 publication-title: Adv. Exp. Med. Biol. doi: 10.1007/978-3-319-41448-5_7 – volume: 85 start-page: 5288 year: 2013 ident: D2AN01568D/cit11/1 publication-title: Anal. Chem. doi: 10.1021/ac4001223 – volume: 1609 start-page: 460427 year: 2020 ident: D2AN01568D/cit26/1 publication-title: J. Chromatogr. A doi: 10.1016/j.chroma.2019.460427 – volume: 46 start-page: 1143 year: 2011 ident: D2AN01568D/cit24/1 publication-title: J. Mass Spectrom. doi: 10.1002/jms.2001 – volume: 10 start-page: 064002 year: 2007 ident: D2AN01568D/cit28/1 publication-title: Phys. Rev. Spec. Top. – Accel. Beams doi: 10.1103/PhysRevSTAB.10.064002 – volume: 72 start-page: 236 year: 2015 ident: D2AN01568D/cit23/1 publication-title: Phys. Procedia doi: 10.1016/j.phpro.2015.09.070 – volume: 1 start-page: 391 year: 2008 ident: D2AN01568D/cit30/1 publication-title: Phys. Procedia doi: 10.1016/j.phpro.2008.07.120 – volume: 20 start-page: 1391 year: 2009 ident: D2AN01568D/cit20/1 publication-title: J. Am. Soc. Mass Spectrom. doi: 10.1016/j.jasms.2009.01.005 – volume: 84 start-page: 708 year: 2012 ident: D2AN01568D/cit4/1 publication-title: Anal. Chem. doi: 10.1021/ac203191t – volume: 50 start-page: 73 year: 2005 ident: D2AN01568D/cit29/1 publication-title: Tech. Phys. doi: 10.1134/1.1854827 – volume: 29 start-page: 1802 year: 2018 ident: D2AN01568D/cit31/1 publication-title: J. Am. Soc. Mass Spectrom. doi: 10.1007/s13361-018-1969-z – volume: 32 start-page: 1145 year: 2021 ident: D2AN01568D/cit19/1 publication-title: J. Am. Soc. Mass Spectrom. doi: 10.1021/jasms.0c00445 – volume: 40 start-page: 647 year: 2021 ident: D2AN01568D/cit5/1 publication-title: Mass Spectrom. Rev. doi: 10.1002/mas.21650 – volume: 37 start-page: 5680 year: 2013 ident: D2AN01568D/cit33/1 publication-title: Appl. Math. Models doi: 10.1016/j.apm.2012.11.010 |
SSID | ssj0001050 |
Score | 2.4150429 |
Snippet | The study and design of high-resolution mass analyzers is a very important task in mass spectrometry. A planar electrostatic ion trap (PEIT) mass analyzer with... |
SourceID | proquest crossref rsc |
SourceType | Aggregation Database Enrichment Source Index Database Publisher |
StartPage | 5764 |
SubjectTerms | Aberration Analyzers Data processing Design analysis Design optimization Electric potential Electrodes Genetic algorithms High resolution Image charge Ions Mass spectrometry Optimization Resolution Voltage |
Title | Genetic algorithm parallel optimization of a new high mass resolution planar electrostatic ion trap mass analyzer |
URI | https://www.proquest.com/docview/2745696513 https://www.proquest.com/docview/2739067133 |
Volume | 147 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3Nb9MwFLe67gAXxNdE2UBGcEFRIIntfByrrVNBpVxSrSciJ3HGoU1Hl0hofz3vJXaSoR4Gl6h6fkkjv5_t9xy_3yPkQ65Sh7s5t4u84DbnmbIjmIttkUuRhrBeKh8TnL8t_fmKf12L9Wj0Y3Bqqa7ST9ndwbyS_7EqyMCumCX7D5btHgoC-A32hStYGK4PsjFyRjeEq5vrHQT5P7cWMnlvNgocTJgKtjrHss2BBP_ZQnJiawv-sgVRtn41LCRdyr2lC-JghhE8EhuqvbxptSVSl9zpg7wd9TLSmVTDmiDdpsKV3oW-Ulg0zEjXdeMq17_NcomarUxiNvHf0nktS3O73pjwmhopjhjMpcznthA691sdkJkJuOXc1Ejz-GA-hWiIH5zoHYY8qbknS8wFD_N-OTOf8Jffk8vVYpHEs3V8RI49CCO8MTmezuIvi26tBu-yzSPXr2UIbFn0uX_2fZelj0OO9qZITOOMxE_JEx1F0GkLiWdkpMrn5NG5Kd73gvzS0KAdNKiBBh1Cg-4KKilAgyI0KBqb9tCgLTToPWhQbEBotNoGGi_J6nIWn89tXV3DzpjLK1tkBRdZIIQKWVGIsPBEFgYQjSpwalKIu50gDVkKLZKJIsyFdBTPYfCCx-zlMIpPyLjcleoVoZniSuBGhB-6SD4aucxVge_kYeQHEP9PyEfTgUmmqeexAsomaY5AsCi58KbLprMvJuR9p3vTEq4c1Dozdkj0gLxNvACigcgXLpuQd10zdDx-A5Ol2tWowyJw0FwGOidgv-4_enO_fsDNp-RxD_kzMq72tXoD3mmVvtUQ-wON4pOh |
linkProvider | Royal Society of Chemistry |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Genetic+algorithm+parallel+optimization+of+a+new+high+mass+resolution+planar+electrostatic+ion+trap+mass+analyzer&rft.jtitle=Analyst+%28London%29&rft.au=Wang%2C+Weimin&rft.au=Xu%2C+Fuxing&rft.au=Wu%2C+Fangling&rft.au=Wu%2C+Huanmin&rft.date=2022-12-05&rft.issn=1364-5528&rft.eissn=1364-5528&rft.volume=147&rft.issue=24&rft.spage=5764&rft_id=info:doi/10.1039%2Fd2an01568d&rft.externalDBID=NO_FULL_TEXT |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0003-2654&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0003-2654&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0003-2654&client=summon |