1D-Guided Differential Rescaling of a Contour Plot in Comprehensive 2D Gas Chromatography

Details

• Personal Author:
  Fan X ; Huang X ; Sharma R ; Zang W
• Description:
  A 1D-guided differential rescaling algorithm for a contour plot is developed based on our recently proposed comprehensive two-dimensional gas chromatography (GC × GC) system with a first-dimensional (1D) detector added. Chromatograms obtained from 1D and second-dimensional (2D) detectors are both incorporated during the data processing. As compared to the conventional contour plot methods using only 2D data, our algorithm can significantly improve precision and consistency of GC × GC results in terms of retention times, peak widths, and peak areas or volumes, regardless of modulation time selection, modulation phase shift fluctuations, and modulation duty cycle. The peak identification, quantification, and capacity can therefore be enhanced. Furthermore, the 1D-guided differential rescaling method is shown to better handle the coelution and missing peak issues often encountered in the conventional methods. Finally, the new method exhibits high versatility in 1D and 2D detector selection, which greatly broadens GC × GC utility. Our method can easily be adapted to other two-dimensional chromatography systems that have direct access to 1D chromatograms. [Description provided by NIOSH]
• Subjects:
  Chemistry, Analytic Chromatography Laboratories Occupational Health Safety
• Keywords:
  Algorithms Analytical Chemistry Analytical Instruments Chromatographic Analysis Gas Chromatography Laboratory Equipment
• ISSN:
  0003-2700
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Journal Article
• Place as Subject:
  Michigan ; OSHA Region 5
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  96
• Issue:
  9
• NIOSHTIC Number:
  nn:20069328
• Citation:
  Anal Chem 2024 Mar; 96(9):3960-3969
• Contact Point Address:
  Xudong Fan, Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States
• Email:
  xsfan@umich.edu
• Federal Fiscal Year:
  2024
• Performing Organization:
  University of Michigan at Ann Arbor
• Peer Reviewed:
  True
• Start Date:
  20180901
• Source Full Name:
  Analytical Chemistry
• End Date:
  20220831
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:cbb52e92d14e74b4d009617bfa905bcdf7e45a7a6699036fa961946ff2dd934ae18574e73d1c5d2df6c8ebda4ccee492d205f4bd1607114e882167a1ecdd1798
• Download URL:
  https://stacks.cdc.gov/view/cdc/207828/cdc_207828_DS1.pdf
• File Type:
  [PDF - 6.60 MB ]