2010
DOI: 10.1016/j.carbpol.2010.03.058
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Variability of biomass chemical composition and rapid analysis using FT-NIR techniques

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Cited by 112 publications
(108 citation statements)
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“…Taken together, the scale of the problem points to the value of developing high-throughput methods to help identify species and genotypes that are most suitable for production of specific thermal products and to guide the optimization of genetic stocks and growth condition for bioenergy crops. Methods available to identify such "high-quality" biomass include near-infrared reflectance spectroscopy (Vogel et al, 2011), Fourier transform near-infrared spectroscopy (Liu et al, 2010), and pyrolysis molecular beam mass spectrometry, at least for lignin components (Sykes et al, 2009;Penning et al, 2014b). In general, these methods can be trained, either rationally or in a model-independent manner, to detect spectroscopic or molecular signatures in biological materials with linear or nonlinear relationships to thermal products.…”
Section: Resultsmentioning
confidence: 99%
“…Taken together, the scale of the problem points to the value of developing high-throughput methods to help identify species and genotypes that are most suitable for production of specific thermal products and to guide the optimization of genetic stocks and growth condition for bioenergy crops. Methods available to identify such "high-quality" biomass include near-infrared reflectance spectroscopy (Vogel et al, 2011), Fourier transform near-infrared spectroscopy (Liu et al, 2010), and pyrolysis molecular beam mass spectrometry, at least for lignin components (Sykes et al, 2009;Penning et al, 2014b). In general, these methods can be trained, either rationally or in a model-independent manner, to detect spectroscopic or molecular signatures in biological materials with linear or nonlinear relationships to thermal products.…”
Section: Resultsmentioning
confidence: 99%
“…Both calibration sets were comprised of a robust set of samples from a variety of years, geographic locations, growing conditions, cultivars, and anatomical fractions. NIR calibration models consisting of a variety of feedstocks or plant types have been well established in the literature [30][31][32][33][34].…”
Section: � Ft-nir Compositional Analysis Modelmentioning
confidence: 99%
“…Many studies have reported differences among switchgrass cultivars in ligno-cellulosic composition [2,5,23,29], while others have shown similarities among cultivars [20,39]. For example, Schmer et al [29] showed that Cave-in-Rock and Shawnee had higher total hexose concentrations than the cultivar Trailblazer.…”
Section: Introductionmentioning
confidence: 99%