Priscilla Nhan,Cedric Thom,Sven W. Meckelmann,Oliver J. Schmitz
{"title":"Ultra-High Peak Capacity Exceeding 5 Peaks per Second Enabled by LC×LC-SLIM-qTOF-MS for the Analysis of Complex Samples","authors":"Priscilla Nhan,Cedric Thom,Sven W. Meckelmann,Oliver J. Schmitz","doi":"10.1021/acs.analchem.6c03659","DOIUrl":null,"url":null,"abstract":"Comprehensive two-dimensional chromatography substantially enhances separation performance prior to mass spectrometric detection compared to conventional one-dimensional approaches. This results in (i) cleaner and more readily interpretable mass spectra and (ii) reduced ion suppression in atmospheric pressure ionization sources. To further increase separation performance within a reasonable total analysis time, comprehensive LC×LC was coupled to a SLIM-IM-qTOF-MS system for the analysis of complex herbal liqueur samples. To facilitate the processing of multidimensional data, a long modulation time of 4 min was applied. In addition, trap-based modulation was implemented to improve analyte focusing and optimize two-dimensional pre-separation. A peak capacity of LC×LCn = 201 was achieved for the LC×LC separation. Incorporating ion mobility as a third separation dimension further increased the total peak capacity. Total peak capacities of Ptotal(SLIM) = 16,683 and Ptotal(DTIMS) = 8643 were achieved for the SLIM and DTIMS coupling, respectively. The SLIM coupling therefore provided an approximately 1.9-fold higher total peak capacity than the DTIMS coupling, demonstrating its superior separation potential.","PeriodicalId":27,"journal":{"name":"Analytical Chemistry","volume":"88 1","pages":""},"PeriodicalIF":7.3000,"publicationDate":"2026-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Analytical Chemistry","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1021/acs.analchem.6c03659","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Comprehensive two-dimensional chromatography substantially enhances separation performance prior to mass spectrometric detection compared to conventional one-dimensional approaches. This results in (i) cleaner and more readily interpretable mass spectra and (ii) reduced ion suppression in atmospheric pressure ionization sources. To further increase separation performance within a reasonable total analysis time, comprehensive LC×LC was coupled to a SLIM-IM-qTOF-MS system for the analysis of complex herbal liqueur samples. To facilitate the processing of multidimensional data, a long modulation time of 4 min was applied. In addition, trap-based modulation was implemented to improve analyte focusing and optimize two-dimensional pre-separation. A peak capacity of LC×LCn = 201 was achieved for the LC×LC separation. Incorporating ion mobility as a third separation dimension further increased the total peak capacity. Total peak capacities of Ptotal(SLIM) = 16,683 and Ptotal(DTIMS) = 8643 were achieved for the SLIM and DTIMS coupling, respectively. The SLIM coupling therefore provided an approximately 1.9-fold higher total peak capacity than the DTIMS coupling, demonstrating its superior separation potential.
期刊介绍:
Analytical Chemistry, a peer-reviewed research journal, focuses on disseminating new and original knowledge across all branches of analytical chemistry. Fundamental articles may explore general principles of chemical measurement science and need not directly address existing or potential analytical methodology. They can be entirely theoretical or report experimental results. Contributions may cover various phases of analytical operations, including sampling, bioanalysis, electrochemistry, mass spectrometry, microscale and nanoscale systems, environmental analysis, separations, spectroscopy, chemical reactions and selectivity, instrumentation, imaging, surface analysis, and data processing. Papers discussing known analytical methods should present a significant, original application of the method, a notable improvement, or results on an important analyte.