Near-infrared analysis of ground barley for use as a feedstock for fuel ethanol production
| Autor: | Miryeong Sohn, Wynse S. Brooks, David S. Himmelsbach, Franklin E. Barton, Kevin B. Hicks, Carl A. Griffey |
|---|---|
| Rok vydání: | 2007 |
| Předmět: |
Spectrometer
Moisture Chemistry Starch 010401 analytical chemistry Near-infrared spectroscopy Analytical chemistry 04 agricultural and veterinary sciences Raw material 040401 food science 01 natural sciences 0104 chemical sciences chemistry.chemical_compound 0404 agricultural biotechnology Partial least squares regression Calibration Ethanol fuel Instrumentation Spectroscopy |
| Zdroj: | Applied spectroscopy. 61(11) |
| ISSN: | 0003-7028 |
| Popis: | The objective of this study was to explore the potential of near-infrared spectroscopy for determining the compositional quality properties of barley as a feedstock for fuel ethanol production and to compare the prediction accuracy between calibration models obtained using a Fourier transform near-infrared system (FT-NIR) and a dispersive near-infrared system. The total sample set contained 206 samples of three types of barley, hull-less, malt, and hulled varieties, which were grown at various locations in the eastern U.S. from 2002 to 2005 years. A new hull-less barley variety, Doyce, which was specially bred for potential use in ethanol production, was included in the sample set. One hundred and thirty-eight barley samples were used for calibration and sixty-eight were used for validation. Ground barley samples were scanned on both a FT-NIR spectrometer (10000 to 4000 cm−1 at 4 cm−1 resolution) and a dispersive NIR spectrometer (400 to 2498 nm at 10 nm resolution), respectively. Six grain components, moisture, starch, β-glucan, protein, oil, and ash content, were analyzed as parameters of barley quality. Principal component analysis showed that barley samples could be classified by their types: hull-less, malt, and hulled. Partial least squares regression indicated that both FT-NIR and dispersive NIR spectroscopy have the potential to determine quality properties of barley with an acceptable accuracy, except for β-glucan content. There was no predictive advantage in using a high-resolution FT-NIR instrument over a dispersive system for most components of barley. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|