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

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

Journal

Journal of the American Society for Mass Spectrometry
ISSN: 1879-1123
Titre abrégé: J Am Soc Mass Spectrom
Pays: United States
ID NLM: 9010412

Informations de publication

Date de publication:
Dec 2019
Historique:
received: 28 01 2019
accepted: 05 09 2019
revised: 04 09 2019
pubmed: 28 10 2019
medline: 28 10 2019
entrez: 26 10 2019
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 31650462
doi: 10.1007/s13361-019-02336-x
pii: 10.1007/s13361-019-02336-x
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2670-2677

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Auteurs

Jeremy Manheim (J)

Department of Chemistry, Purdue University, 560 Oval Dr., West Lafayette, IN, 47907, USA.

Katherine Wehde (K)

Department of Chemistry, Purdue University, 560 Oval Dr., West Lafayette, IN, 47907, USA.

Wan Tang Jeff Zhang (WTJ)

Department of Chemistry, Purdue University, 560 Oval Dr., West Lafayette, IN, 47907, USA.

Petr Vozka (P)

School of Engineering Technology, Purdue University, West Lafayette, IN, USA.

Mark Romanczyk (M)

Department of Chemistry, Purdue University, 560 Oval Dr., West Lafayette, IN, 47907, USA.

Gozdem Kilaz (G)

School of Engineering Technology, Purdue University, West Lafayette, IN, USA.

Hilkka I Kenttämaa (HI)

Department of Chemistry, Purdue University, 560 Oval Dr., West Lafayette, IN, 47907, USA. hilkka@purdue.edu.

Classifications MeSH