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Identification and Quantitation of Linear Alkanes in Lubricant Base Oils by Using GC×GC/EI TOF Mass Spectrometry

  • Jeremy Manheim
  • Katherine Wehde
  • Wan Tang Jeff Zhang
  • Petr Vozka
  • Mark Romanczyk
  • Gozdem Kilaz
  • Hilkka I. KenttämaaEmail author
Research Article

Abstract

Linear alkanes are a class of compounds known to negatively affect the physical performance of lubricant base oils. The ability to rapidly identify and quantify linear alkanes in lubricant base oils would enable oil companies to more effectively evaluate their refinery methods for converting crude oil to lubricant base oils. While mass spectrometry is a powerful method for elucidation of the structures of compounds in complex mixtures, it is not innately quantitative. An approach is presented here for the identification and quantitation of linear alkanes in base oil samples by utilizing GC×GC/EI TOF MS. Identification of the linear alkanes in base oils was achieved based on their retention times in both GC columns as well as their EI mass spectra. Linear alkane model compound mixtures were used to generate calibration plots for quantitation of the linear alkanes in the base oils. The accuracy of this method was greater than 83.8%, within-day precision lower than 6.2%, between-day precision lower than 16.2%, and total precision lower than 17.2%. All noted figures of merit surpass the acceptable limits for a new validated quantitative method, where accuracy must be better than 80% and precision lower than 20% at the lower limit of quantitation. The n-alkane content in both base oil samples was further validated using a GC×GC/FID method (the gold standard for quantitation), which provided nearly identical results to those obtained using the GC×GC/EI TOF MS method. Therefore, GC×GC/EI TOF MS can be used to both identify and quantitate linear alkanes.

Keywords

GC×GC-TOF MS Base oils Linear alkanes APCI-MS 

Supplementary material

13361_2019_2336_MOESM1_ESM.docx (821 kb)
ESM 1 (DOCX 821 kb)

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Copyright information

© American Society for Mass Spectrometry 2019

Authors and Affiliations

  1. 1.Department of ChemistryPurdue UniversityWest LafayetteUSA
  2. 2.School of Engineering TechnologyPurdue UniversityWest LafayetteUSA

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