Articles producció científica> Química Analítica i Química Orgànica

Near-Infrared Spectroscopy Coupled with Multivariate Methods for the Characterization of Ethanol Adulteration in Premium 91 Gasoline

  • Datos identificativos

    Identificador: imarina:3661895
    Autores:
    Mabood F., Boqué R., Hamaed A., Jabeen F., Al-Harrasi A., Hussain J., Alameri S., Albroumi M., Al Nabhani M., Naureen Z., Al Rawahi M., Al Futaisi F.
    Resumen:
    Ethanol, as a result of its high octane rating of 108, is often added as adulterant to premium 91 gasoline fuels to boost up their octane ratings to 96 or more, but it does not provide the same power to the engine as that of superpremium 96 gasoline fuels. In this study, sensitive near-infrared spectroscopy (NIRS) coupled with chemometrics was proposed for analysis of the ethanol content in premium 91 gasoline fuels. Standard samples of premium 91 octane gasoline were collected from Oman Oil Refineries and Petroleum Industries Company commonly known as ORPIC. The premium 91 samples were then intentionally spiked with ethanol at various levels. NIRS was employed in the absorption mode to obtain the spectra of all samples scanning from 700 to 2500 nm. Then, partial least squares regression (PLSR), partial least squares discriminant analysis (PLS-DA), and principal component analysis (PCA) were applied to model and interpret the near-infrared (NIR) spectra. A PLS-DA model was developed to discriminate between the pristine gasoline samples and those intentionally mixed with ethanol, with excellent results [R2 = 98% and root-mean-square error (RMSE) = 0.049%] by random cross-validation. A PLSR model was established to determine the ethanol content in premium 91 gasoline samples, with values of R2 = 99% and root-mean-square error of cross-validation (RMSECV) = 1.88% and R2 = 99% and root-mean-square error of prediction (RMSEP) = 1.58 for cross-validation and test-set validation results, respectively. This newly developed method is simple and rapid and can quantify less than 2% ethanol adulteration in premium 91 gasolines.
  • Otros:

    Autor según el artículo: Mabood F., Boqué R., Hamaed A., Jabeen F., Al-Harrasi A., Hussain J., Alameri S., Albroumi M., Al Nabhani M., Naureen Z., Al Rawahi M., Al Futaisi F.
    Departamento: Química Analítica i Química Orgànica
    Autor/es de la URV: Boqué Martí, Ricard
    Palabras clave: Nir Multivariate analysis Gasoline Adulteration
    Resumen: Ethanol, as a result of its high octane rating of 108, is often added as adulterant to premium 91 gasoline fuels to boost up their octane ratings to 96 or more, but it does not provide the same power to the engine as that of superpremium 96 gasoline fuels. In this study, sensitive near-infrared spectroscopy (NIRS) coupled with chemometrics was proposed for analysis of the ethanol content in premium 91 gasoline fuels. Standard samples of premium 91 octane gasoline were collected from Oman Oil Refineries and Petroleum Industries Company commonly known as ORPIC. The premium 91 samples were then intentionally spiked with ethanol at various levels. NIRS was employed in the absorption mode to obtain the spectra of all samples scanning from 700 to 2500 nm. Then, partial least squares regression (PLSR), partial least squares discriminant analysis (PLS-DA), and principal component analysis (PCA) were applied to model and interpret the near-infrared (NIR) spectra. A PLS-DA model was developed to discriminate between the pristine gasoline samples and those intentionally mixed with ethanol, with excellent results [R2 = 98% and root-mean-square error (RMSE) = 0.049%] by random cross-validation. A PLSR model was established to determine the ethanol content in premium 91 gasoline samples, with values of R2 = 99% and root-mean-square error of cross-validation (RMSECV) = 1.88% and R2 = 99% and root-mean-square error of prediction (RMSEP) = 1.58 for cross-validation and test-set validation results, respectively. This newly developed method is simple and rapid and can quantify less than 2% ethanol adulteration in premium 91 gasolines.
    Áreas temáticas: Química Materiais Interdisciplinar Geociências General chemical engineering Fuel technology Farmacia Ensino Engineering, chemical Engenharias iii Engenharias ii Engenharias i Energy engineering and power technology Energy & fuels Economia Ciências biológicas ii Ciências ambientais Ciências agrárias i Ciência de alimentos Chemical engineering (miscellaneous) Chemical engineering (all) Biotecnología Astronomia / física
    ISSN: 15205029
    Direcció de correo del autor: ricard.boque@urv.cat
    Identificador del autor: 0000-0001-7311-4824
    Página final: 7597
    Fecha de alta del registro: 2024-09-07
    Volumen de revista: 31
    Versión del articulo depositado: info:eu-repo/semantics/acceptedVersion
    Enlace a la fuente original: https://pubs.acs.org/doi/abs/10.1021/acs.energyfuels.7b00870
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referencia al articulo segun fuente origial: Energy & Fuels. 31 (7): 7591-7597
    Referencia de l'ítem segons les normes APA: Mabood F., Boqué R., Hamaed A., Jabeen F., Al-Harrasi A., Hussain J., Alameri S., Albroumi M., Al Nabhani M., Naureen Z., Al Rawahi M., Al Futaisi F. (2017). Near-Infrared Spectroscopy Coupled with Multivariate Methods for the Characterization of Ethanol Adulteration in Premium 91 Gasoline. Energy & Fuels, 31(7), 7591-7597. DOI: 10.1021/acs.energyfuels.7b00870
    DOI del artículo: 10.1021/acs.energyfuels.7b00870
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2017
    Página inicial: 7591
    Tipo de publicación: Journal Publications
  • Palabras clave:

    Chemical Engineering (Miscellaneous),Energy & Fuels,Energy Engineering and Power Technology,Engineering, Chemical,Fuel Technology
    Nir
    Multivariate analysis
    Gasoline
    Adulteration
    Química
    Materiais
    Interdisciplinar
    Geociências
    General chemical engineering
    Fuel technology
    Farmacia
    Ensino
    Engineering, chemical
    Engenharias iii
    Engenharias ii
    Engenharias i
    Energy engineering and power technology
    Energy & fuels
    Economia
    Ciências biológicas ii
    Ciências ambientais
    Ciências agrárias i
    Ciência de alimentos
    Chemical engineering (miscellaneous)
    Chemical engineering (all)
    Biotecnología
    Astronomia / física
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