Use of NIRS to predict composition and bioethanol yield from cell wall structural components of sweet sorghum biomass

Yield, water use efficiency and economic analysis of energy sorghum in South Texas

“…The composition of sorghum biomass in our study is similar to that reported in other studies. Guimaraces et al [16] reported that the cellulose, hemicellulose and lignin contents of sweet sorghum ranged from 21 to 49 g kg À1 , 18e35 g kg À1 and 2e12 g kg À1 , respectively. They also reported that the theoretical yield of ethanol of sweet sorghum ranged from 221 to 412 L Mg À1 .…”

Detection and quantification of milk adulteration using time domain nuclear magnetic resonance (TD-NMR)

“…The accuracy of the models was estimated mainly by RMSEP (root mean square of prediction) [24,25]. PLSR model showed better accuracy than the univariate model with RMSEP values of 2.35% (v/v), indicating that the method provided results that agree with those in the reference values (Table 2).…”

“…The precision of the models was assessed for levels of repeatability and intermediary precision through the relative standard deviations (RSD) [24,25]. The generated models properly showed similar precision, with RSD b 1.95% for repeatability and 3.33% for intermediary precision ( Table 2).…”

Characterisation of ten commercial sorghum genotypes grown under water-limited conditions for bioenergy production in Mediterranean environment

“…This technology was already used to predict the potential yield of bioethanol from switchgrass (Panicum virgatum), wheat (Triticum aestivum), rye (Secale cereale), triticale (Triticum secalotriticum saratoviense Meister), beet (Beta vulgaris) and maize (Zea mays) (Hao et al, 2012;Magaña et al, 2011;Pohl and Senn, 2011;Vogel et al, 2010). In 2014 it was proposed by Guimarães et al (2014) a model for theoretical bioethanol yield prediction from cell wall structural components of sweet sorghum bagasse using NIRS technology, in order to satisfy the requirement of rapidity and low cost analysis of huge amount of sorghum samples generated during breeding programs. High biomass yield, together with low lignin and high nonstructural carbohydrates content, is desirable parameter when assessing the suitability of a crop for anaerobic digestion (Mahmood and Honermeier, 2012).…”