| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1165869 | Analytica Chimica Acta | 2012 | 7 Pages |
This work evaluates the use of near-infrared (NIR) overtone regions to determine biodiesel content, as well potential adulteration with vegetable oil, in diesel/biodiesel blends. For this purpose, NIR spectra (12,000–6300 cm−1) were obtained using three different optical path lengths: 10 mm, 20 mm and 50 mm. Two strategies of regression with variable selection were evaluated: partial least squares (PLS) with significant regression coefficients selected by Jack-Knife algorithm (PLS/JK) and multiple linear regression (MLR) with wavenumber selection by successive projections algorithm (MLR/SPA). For comparison, the results obtained by using PLS full-spectrum models are also presented. In addition, the performance of models using NIR (1.0 mm optical path length, 9000–4000 cm−1) and MIR (UATR – universal attenuated total reflectance, 4000–650 cm−1) spectral regions was also investigated. The results demonstrated the potential of overtone regions with MLR/SPA regression strategy to determine biodiesel content in diesel/biodiesel blends, considering the possible presence of raw oil as a contaminant. This strategy is simple, fast and uses a fewer number of spectral variables. Considering this, the overtone regions can be useful to develop low cost instruments for quality control of diesel/biodiesel blends, considering the lower cost of optical components for this spectral region.
Graphical abstractFigure optionsDownload full-size imageDownload as PowerPoint slideHighlights► We describe a systematic study of NIR overtone regions to determine biodiesel. ► Potential adulteration with vegetable oil in diesel blends was also investigated. ► Strategies of regression with variable selection were evaluated: PLS/JK and MLR/SPA. ► Performance of the models was compared with usual NIR/MIR spectral regions. ► Overtones can be useful to develop low cost instruments to monitor diesel blends.
