Multivariate models for monitoring the environmental performance of gasoline

A linear multivariate regression model for the IR spectra of gasolineare used in the paper. On the basis of a number of test samples (alkylate, reformate, regular, premium), an equation was obtained for calculating the content of aromatic hydrocarbons in gasolines based on the transmission values at...

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Veröffentlicht in:E3S web of conferences 2020-01, Vol.224, p.1001
Hauptverfasser: Kovalenko, V. V., Loginov, V. S., Lyzlova, M. V., Melnik, G. I., Trunkin, D. S., Shuvarikova, T. P.
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Sprache:eng
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Zusammenfassung:A linear multivariate regression model for the IR spectra of gasolineare used in the paper. On the basis of a number of test samples (alkylate, reformate, regular, premium), an equation was obtained for calculating the content of aromatic hydrocarbons in gasolines based on the transmission values at wave numbers: 1600, 1500, 870, 810, 750 cm-1. The calculated equation was tested on a series of regular gasolines and by the cross-validation method. The test results showed good values of the correlation coefficient (0,96) and the standard deviation (0,4 and 3,5). The range of the content of aromatic hydrocarbons in the test samples is in the range of 24,9 - 30,5 mass %.
ISSN:2267-1242
2555-0403
2267-1242
DOI:10.1051/e3sconf/202022401001