Mid- infrared uncooled sensor for the identification of pure fuel, additives and adulterants in gasoline

Maldonado Gil, María del Sagrario and Barreiro Elorza, Pilar and Gutiérrez, Raul and Vergara, Germán (2018). Mid- infrared uncooled sensor for the identification of pure fuel, additives and adulterants in gasoline. "Fuel Processing Technology", v. 171 ; pp. 287-292. ISSN 0378-3820. https://doi.org/10.1016/j.fuproc.2017.09.018.

Description

Title: Mid- infrared uncooled sensor for the identification of pure fuel, additives and adulterants in gasoline
Author/s:
  • Maldonado Gil, María del Sagrario
  • Barreiro Elorza, Pilar
  • Gutiérrez, Raul
  • Vergara, Germán
Item Type: Article
Título de Revista/Publicación: Fuel Processing Technology
Date: 2018
ISSN: 0378-3820
Volume: 171
Subjects:
Faculty: E.T.S. de Ingeniería Agronómica, Alimentaria y de Biosistemas (UPM)
Department: Ingeniería Agroforestal
UPM's Research Group: Técnicas Avanzadas en Agroalimentación LPF-TAGRALIA
Creative Commons Licenses: Recognition - No derivative works - Non commercial

Full text

[img]
Preview
PDF - Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (1MB) | Preview

Abstract

The aim of the present study is to test the ability of a low-cost and portable middle infrared spectrometer based on a linear array of 1 × 128 of PbSe, coupled with a linear variable optical filter in the wavelength range of 3–4.5 μm, for the differentiation of pure chemical substances and quality control of fuels. Potential additives and dulterants for gasoline were tested, considering the alcohols ethanol, n-butanol, n-propanol and n-hexanol as potential additives and methanol and diesel oils as adulterants. Multivariate analysis of variance (MANOVA) applied to the scores obtained in the Principal Component Analysis (PCA) was conducted to analyze the spectral data and distinguish between the individual components. For the purposes of classifying anonymous samples, the centroid of each pure substance in the canonical variables was calculated, followed by the distance calculated between new samples to such centroids, assigning the individual to the most proximate category. The results demonstrated that the technique was able to discriminate between gasoline, diesel oils and the alcohols methanol, ethanol, n-propanol, n-butanol and n-hexanol and that it had the potential to be applied in the fuel industry.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainDI1406814UnspecifiedUnspecifiedUnspecified

More information

Item ID: 56240
DC Identifier: http://oa.upm.es/56240/
OAI Identifier: oai:oa.upm.es:56240
DOI: 10.1016/j.fuproc.2017.09.018
Official URL: https://www.sciencedirect.com/journal/fuel-processing-technology
Deposited by: Catedrática Pilar Barreiro
Deposited on: 03 Mar 2020 05:58
Last Modified: 03 Mar 2020 06:05
  • Logo InvestigaM (UPM)
  • Logo GEOUP4
  • Logo Open Access
  • Open Access
  • Logo Sherpa/Romeo
    Check whether the anglo-saxon journal in which you have published an article allows you to also publish it under open access.
  • Logo Dulcinea
    Check whether the spanish journal in which you have published an article allows you to also publish it under open access.
  • Logo de Recolecta
  • Logo del Observatorio I+D+i UPM
  • Logo de OpenCourseWare UPM