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The qualitative and quantitative analysis of lubricant oil additives by direct analysis in real time-mass spectrometry

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journal contribution
posted on 20.06.2016 by Caitlyn Da Costa, Samuel Whitmarsh, Tom Lynch, Colin Creaser
The application of direct analysis in real time combined with mass spectrometry (DART-MS) to the qualitative analysis of lubricant and oil additives, and the quantitative analysis of a lubricant antioxidant additive is reported. The additives were analysed alone and in the presence of a base oil, from filter paper, glass and steel surfaces, showing the potential of the DART-MS technique for the direct, rapid analysis of lubricant oil additives. The quantitative capabilities of the technique were evaluated for the antioxidant in an oil matrix at concentrations in the range 0.1-8mg/mL in oil (1-80μg antioxidant on spot), using a structural analogue of the antioxidant as an internal standard. The linearity (R2 =0.997), precision (% RSD=2.6%) and LOD (0.04mg/mL in oil) of the method demonstrates that DART-MS is capable of the rapid determination of additives in oil without pre-extraction.

Funding

The authors acknowledge the Engineering and Physical Sciences Research Council (UK) and BP for funding this research.

History

School

  • Science

Department

  • Chemistry

Published in

International Journal of Mass Spectrometry

Citation

DA COSTA, C. ... et al, 2016. The qualitative and quantitative analysis of lubricant oil additives by direct analysis in real time-mass spectrometry. International Journal of Mass Spectrometry, 405 (July), pp. 24–31.

Publisher

Elsevier

Version

VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution 4.0 International (CC BY 4.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/ by/4.0/

Publication date

2016-05-18

Notes

This is an open access article published by Elsevier and distributed under the terms of the Creative Commons Attribution Licence (CC BY 4.0), http://creativecommons.org/licenses/by/4.0/

ISSN

1387-3806

Language

en

Licence

Exports