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Marco Flôres Ferrão

Researcher at Universidade Federal do Rio Grande do Sul

Publications -  155
Citations -  2644

Marco Flôres Ferrão is an academic researcher from Universidade Federal do Rio Grande do Sul. The author has contributed to research in topics: Partial least squares regression & Biodiesel. The author has an hindex of 26, co-authored 147 publications receiving 2123 citations. Previous affiliations of Marco Flôres Ferrão include State University of Campinas & University of Rio Grande.

Papers
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Journal ArticleDOI

Least-squares support vector machines and near infrared spectroscopy for quantification of common adulterants in powdered milk.

Alessandra Borin, +4 more
- 02 Oct 2006 - 
TL;DR: These results show it possible to built robust models to quantify some common adulterants in powdered milk using near-infrared spectroscopy and LS-SVM as a nonlinear multivariate calibration procedure.
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Development of methodology for identification the nature of the polyphenolic extracts by FTIR associated with multivariate analysis.

Fábio dos Santos Grasel, +2 more
- 15 Jan 2016 - 
TL;DR: Among all samples analysed, the chestnut and valonea showed the greatest similarity, indicating that these extracts contain equivalent chemical compositions and structure and, therefore, similar properties.
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Classification of biomass through their pyrolytic bio-oil composition using FTIR and PCA analysis

Eliane Lazzari, +8 more
- 01 Jan 2018 - 
TL;DR: In this paper, Fourier transform infrared (FTIR) spectroscopy combined with principal components analysis (PCA) was applied in the classification of biomasses through the composition of their bio-oil.
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Simultaneous determination of quality parameters of biodiesel/diesel blends using HATR-FTIR spectra and PLS, iPLS or siPLS regressions

Marco Flôres Ferrão, +5 more
- 01 Feb 2011 - 
TL;DR: Partial least-squares (PLS), interval partial least squares (i PLS), and synergy partial least square (si PLS) regressions were used to simultaneous determination of quality parameters of biodiesel/diesel blends as discussed by the authors.
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Photometrix : an application for univariate calibration and principal components analysis using colorimetry on mobile devices

Gilson Augusto Helfer, +5 more
- 01 Jan 2016 - 
TL;DR: In this article, the authors describe the development of a mobile colorimetric analysis tool called PhotoMetrix, which employs the techniques of simple linear correlation for univariate analysis and principal components analysis (PCA) for multivariate exploratory analysis.