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Classification of Fuel Blends Using Exploratory Analysis with Combined Data from Infrared Spectroscopy and Stable Isotope Analysis
Pontificia Univ Catolica Rio Grande do Sul, Brazil.ORCID iD: 0000-0002-2565-4831
Pontificia Univ Catolica Rio Grande do Sul, Brazil.
Pontificia Univ Catolica Rio Grande do Sul, Brazil.
2017 (English)In: Energy & Fuels, ISSN 0887-0624, E-ISSN 1520-5029, Vol. 31, no 1, p. 523-532Article in journal (Refereed) Published
Abstract [en]

Chemometric tools were applied for exploratory analysis and classification of fuel blends using the combined information on Fourier transform infrared spectroscopy and stable isotope analysis through isotope ratio mass spectrometry. Principal component analysisand hierarchical clustering analysis were applied for exploratory analysis, while support vector machine (SVM) was used to classify the biodiesel/diesel blends. All of the chemometric models used present better results from the combination of spectral information with isotopic data for biodiesel contents of over 10% in the mixture, with the best results being Obtained from the SVM classification. Therefore, the development presented in this paper could become an important technique to improve the discrimination of the feedstock used in biodiesel production and a resource for quality control in industry.

Place, publisher, year, edition, pages
American Chemical Society (ACS), 2017. Vol. 31, no 1, p. 523-532
National Category
Environmental Sciences
Research subject
Natural Science, Environmental Science
Identifiers
URN: urn:nbn:se:lnu:diva-75683DOI: 10.1021/acs.energyfuels.6b01937ISI: 000392553800051OAI: oai:DiVA.org:lnu-75683DiVA, id: diva2:1217046
Available from: 2018-06-12 Created: 2018-06-12 Last updated: 2018-06-12Bibliographically approved

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Ketzer, João Marcelo

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dos Santos, Victor Hugo J. M.Ketzer, João Marcelo
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