Fourier Transform Infrared Spectroscopy (FTIR) and Multivariate Analysis for Identification of Different Vegetable Oils Used in Biodiesel Production
The main objective of this study was to use infrared spectroscopy to identify vegetable oils used as raw material for biodiesel production and apply multivariate analysis to the data. Six different vegetable oil sources—canola, cotton, corn, palm, sunflower and soybeans—were used to produce biodiese...
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| Format: | Article |
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MDPI AG
2013-03-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/13/4/4258 |
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| author | Rosana de Cássia de Souza Schneider Adilson Ben da Costa Luciano Marder Marco Flôres Ferrão Daniela Mueller |
| author_facet | Rosana de Cássia de Souza Schneider Adilson Ben da Costa Luciano Marder Marco Flôres Ferrão Daniela Mueller |
| author_sort | Rosana de Cássia de Souza Schneider |
| collection | DOAJ |
| description | The main objective of this study was to use infrared spectroscopy to identify vegetable oils used as raw material for biodiesel production and apply multivariate analysis to the data. Six different vegetable oil sources—canola, cotton, corn, palm, sunflower and soybeans—were used to produce biodiesel batches. The spectra were acquired by Fourier transform infrared spectroscopy using a universal attenuated total reflectance sensor (FTIR-UATR). For the multivariate analysis principal component analysis (PCA), hierarchical cluster analysis (HCA), interval principal component analysis (iPCA) and soft independent modeling of class analogy (SIMCA) were used. The results indicate that is possible to develop a methodology to identify vegetable oils used as raw material in the production of biodiesel by FTIR-UATR applying multivariate analysis. It was also observed that the iPCA found the best spectral range for separation of biodiesel batches using FTIR-UATR data, and with this result, the SIMCA method classified 100% of the soybean biodiesel samples. |
| first_indexed | 2024-04-11T20:56:43Z |
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| id | doaj.art-9e85330f90f543d1b209bd8f22e71894 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T20:56:43Z |
| publishDate | 2013-03-01 |
| publisher | MDPI AG |
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| series | Sensors |
| spelling | doaj.art-9e85330f90f543d1b209bd8f22e718942022-12-22T04:03:40ZengMDPI AGSensors1424-82202013-03-011344258427110.3390/s130404258Fourier Transform Infrared Spectroscopy (FTIR) and Multivariate Analysis for Identification of Different Vegetable Oils Used in Biodiesel ProductionRosana de Cássia de Souza SchneiderAdilson Ben da CostaLuciano MarderMarco Flôres FerrãoDaniela MuellerThe main objective of this study was to use infrared spectroscopy to identify vegetable oils used as raw material for biodiesel production and apply multivariate analysis to the data. Six different vegetable oil sources—canola, cotton, corn, palm, sunflower and soybeans—were used to produce biodiesel batches. The spectra were acquired by Fourier transform infrared spectroscopy using a universal attenuated total reflectance sensor (FTIR-UATR). For the multivariate analysis principal component analysis (PCA), hierarchical cluster analysis (HCA), interval principal component analysis (iPCA) and soft independent modeling of class analogy (SIMCA) were used. The results indicate that is possible to develop a methodology to identify vegetable oils used as raw material in the production of biodiesel by FTIR-UATR applying multivariate analysis. It was also observed that the iPCA found the best spectral range for separation of biodiesel batches using FTIR-UATR data, and with this result, the SIMCA method classified 100% of the soybean biodiesel samples.http://www.mdpi.com/1424-8220/13/4/4258HCAiPCASIMCAUATR sensorbiodieselraw materialquality contro |
| spellingShingle | Rosana de Cássia de Souza Schneider Adilson Ben da Costa Luciano Marder Marco Flôres Ferrão Daniela Mueller Fourier Transform Infrared Spectroscopy (FTIR) and Multivariate Analysis for Identification of Different Vegetable Oils Used in Biodiesel Production Sensors HCA iPCA SIMCA UATR sensor biodiesel raw material quality contro |
| title | Fourier Transform Infrared Spectroscopy (FTIR) and Multivariate Analysis for Identification of Different Vegetable Oils Used in Biodiesel Production |
| title_full | Fourier Transform Infrared Spectroscopy (FTIR) and Multivariate Analysis for Identification of Different Vegetable Oils Used in Biodiesel Production |
| title_fullStr | Fourier Transform Infrared Spectroscopy (FTIR) and Multivariate Analysis for Identification of Different Vegetable Oils Used in Biodiesel Production |
| title_full_unstemmed | Fourier Transform Infrared Spectroscopy (FTIR) and Multivariate Analysis for Identification of Different Vegetable Oils Used in Biodiesel Production |
| title_short | Fourier Transform Infrared Spectroscopy (FTIR) and Multivariate Analysis for Identification of Different Vegetable Oils Used in Biodiesel Production |
| title_sort | fourier transform infrared spectroscopy ftir and multivariate analysis for identification of different vegetable oils used in biodiesel production |
| topic | HCA iPCA SIMCA UATR sensor biodiesel raw material quality contro |
| url | http://www.mdpi.com/1424-8220/13/4/4258 |
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