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Multivariate models for monitoring the environmental performance of gasoline

Kovalenko, V. V. ; Loginov, V. S. ; Lyzlova, M. V. ; Melnik, G. I. ; Trunkin, D. S. ; Shuvarikova, T. P. Dreizis, Y. ; Breskich, V. ; Zheltenkov, A.

E3S Web of Conferences, 2020, Vol.224, p.1001 [Periódico revisado por pares]

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Título:
Multivariate models for monitoring the environmental performance of gasoline
Autor: Kovalenko, V. V. ; Loginov, V. S. ; Lyzlova, M. V. ; Melnik, G. I. ; Trunkin, D. S. ; Shuvarikova, T. P.
Dreizis, Y. ; Breskich, V. ; Zheltenkov, A.
Assuntos: Alkylation ; Aromatic hydrocarbons ; Correlation coefficient ; Correlation coefficients ; Environment models ; Environmental monitoring ; Gasoline ; Hydrocarbons ; Infrared spectroscopy ; Multivariate analysis ; Regression models
É parte de: E3S Web of Conferences, 2020, Vol.224, p.1001
Descrição: 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 %.
Editor: Les Ulis: EDP Sciences
Idioma: Inglês

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