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Rapid Quantitative Analysis of Forest Biomass Using Fourier Transform Infrared Spectroscopy and Partial Least Squares Regression

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dc.contributorLori Eckhardt, eckhalg@auburn.eduen_US
dc.creatorAcquah, Gifty E.
dc.creatorVia, Brian K.
dc.creatorFasina, Oladiran O.
dc.creatorEckhardt, Lori G.
dc.description.abstractFourier transform infrared reflectance (FTIR) spectroscopy has been used to predict properties of forest logging residue, a very heterogeneous feedstock material. Properties studied included the chemical composition, thermal reactivity, and energy content. The ability to rapidly determine these properties is vital in the optimization of conversion technologies for the successful commercialization of biobased products. Partial least squares regression of first derivative treated FTIR spectra had good correlations with the conventionally measured properties. For the chemical composition, constructed models generally did a better job of predicting the extractives and lignin content than the carbohydrates. In predicting the thermochemical properties, models for volatile matter and fixed carbon performed very well (i.e., R² > 0.80, RPD > 2.0). The effect of reducing the wavenumber range to the fingerprint region for PLS modeling and the relationship between the chemical composition and higher heating value of logging residue were also explored. This study is new and different in that it is the first to use FTIR spectroscopy to quantitatively analyze forest logging residue, an abundant resource that can be used as a feedstock in the emerging low carbon economy. Furthermore, it provides a complete and systematic characterization of this heterogeneous raw material.en_US
dc.relation.ispartofJournal of Analytical Methods in Chemistryen_US
dc.rights© 2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 license. Item should be cited as: Acquah, G. E., Via, B. K., Fasina, O. O., & Eckhardt, L. G. (2016). Rapid quantitative analysis of forest biomass using fourier transform infrared spectroscopy and partial least squares regression. Journal of Analytical Methods in Chemistry.en_US
dc.subjectHEATING VALUEen_US
dc.titleRapid Quantitative Analysis of Forest Biomass Using Fourier Transform Infrared Spectroscopy and Partial Least Squares Regressionen_US
dc.type.genreJournal Article, Academic Journalen_US

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