title: Rapid determination of sugar content in corn stover hydrolysates using near infrared spectroscopy.
abstract: Near infrared (NIR) spectroscopy provides rapid determination method for biomass characterization. The objective of this study is to use NIR to model and predict contents of monosaccharides in biomass hydrolysates. A uniform distribution of pretreatment conditions was used to generate representative samples that cover wide ranges of sugar concentration for model development. The formation of glucose, xylose, and arabinose was studied via response surface methodology and 3D models were provided to show the effects of pretreatment conditions. The NIR models developed with partial least squares are able to provide excellent and good prediction for glucose and xylose concentration in biomass hydrolysates, respectively. Data transformation did not increase model performance, but the reduced wavelength range improved model prediction for all the sugar contents. The NIR method significantly reduced the time and cost of sugar determination.
authors.affiliation: Department of Biological and Agricultural Engineering, Kansas State University, Manhattan, KS 66506, USA. Electronic address: fxu@ksu.edu.
authors.forename: Feng
authors.initials: F
authors.lastname: Xu
authors.affiliation: Department of Biological and Agricultural Engineering, Kansas State University, Manhattan, KS 66506, USA. Electronic address: dwang@ksu.edu.
authors.forename: Donghai
authors.initials: D
authors.lastname: Wang
mesh_terms: D018533:Biomass; D002241:Carbohydrates / Q000032:analysis*; D002851:Chromatography, High Pressure Liquid; D006868:Hydrolysis; D019265:Spectroscopy, Near-Infrared / Q000379:methods*; D003313:Zea mays / Q000737:chemistry*
chemical_list: D002241:Carbohydrates
keywords: Biomass hydrolysates; High-throughput analysis; Near-infrared; Partial least square