multivariate regression models using interval selection for quantification of the biodiesel in biodiesel/diesel blends
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ID: 238629
2010
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Abstract
In the present work multivariate regression models using interval partial least square (iPLS) and backward interval partial least square (biPLS) had been analyzed and compared. iPLS and biPLS models had been developed to determine the concentration of biodiesel in blends of biodiesel/diesel using infrared spectroscopy signals. 45 samples with concentrations in range 8-30% of biodiesel, and two distinct spectrophotometers were used. Both the techniques (iPLS and biPLS) using the data obtained by HATR-FTIR if had shown promising to develop simpler, faster and non-destructive methodologies for the biodiesel determination in commercial blends.
| Reference Key |
ferro2010tecno-lgicamultivariate
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| Authors | ;Marco Flôres Ferrão;Janice Zulma Francesquett;Mariela de Souza Viera;Rodrigo Hennig Lovato;Daniela Fachini;Annelise Engel Gerbase;Adilson Ben da Costa |
| Journal | procedia engineering |
| Year | 2010 |
| DOI |
10.17058/tecnolog.v14i2.1459
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