Determining bio-oil composition via chemometric tools based on infrared spectroscopy
The development of rapid and accurate techniques to predict the composition of crude bio-oils obtained via the pyrolysis of lignocellulosic biomass is a prerequisite for their industrial implementation. Here, we demonstrate the potential of the Fourier Transform Infrared Spectroscopy to replace the...
| Autores: | , , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión aceptada para publicación |
| Fecha de publicación: | 2017 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/156659 |
| Acceso en línea: | http://hdl.handle.net/10261/156659 |
| Access Level: | acceso abierto |
| Palabra clave: | Chemometric tools Bio-oil composition Fourier transform infrared spectroscopy Gas chromatography-mass spectrometry Partial least squares regression |
| Sumario: | The development of rapid and accurate techniques to predict the composition of crude bio-oils obtained via the pyrolysis of lignocellulosic biomass is a prerequisite for their industrial implementation. Here, we demonstrate the potential of the Fourier Transform Infrared Spectroscopy to replace the gas chromatography-mass spectrometry (GC-MS) in determining the compositional groups of bio-oils. Using mid-infrared spectroscopic technique as predictor, chemometric tools based on partial least squares regression models were contrasted with GC-MS results to foresee the various families of organic compounds. A broad data set, consisting of more than one hundred samples obtained from the thermal and catalytic pyrolysis of woody biomass and from the upgrading of bio-oil vapors by catalytic cracking over zeolites and metal oxides was used. The applicability of the developed model was assessed by external validation using the Kennard-Stone algorithm, showing that more than 90 wt% of the bio-oil composition was accurately determined. These results pave the path for the on-line monitoring of the forthcoming manufacture system of second-generation biofuels through rapid and costeffective characterization of the pyrolysis bio-oils, thus enabling industrial producers to make timely decisions. |
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