title: Measurement of process variables in solid-state fermentation of wheat straw using FT-NIR spectroscopy and synergy interval PLS algorithm.
abstract: The feasibility of rapid determination of the process variables (i.e. pH and moisture content) in solid-state fermentation (SSF) of wheat straw using Fourier transform near infrared (FT-NIR) spectroscopy was studied. Synergy interval partial least squares (siPLS) algorithm was implemented to calibrate regression model. The number of PLS factors and the number of subintervals were optimized simultaneously by cross-validation. The performance of the prediction model was evaluated according to the root mean square error of cross-validation (RMSECV), the root mean square error of prediction (RMSEP) and the correlation coefficient (R). The measurement results of the optimal model were obtained as follows: RMSECV=0.0776, R(c)=0.9777, RMSEP=0.0963, and R(p)=0.9686 for pH model; RMSECV=1.3544% w/w, R(c)=0.8871, RMSEP=1.4946% w/w, and R(p)=0.8684 for moisture content model. Finally, compared with classic PLS and iPLS models, the siPLS model revealed its superior performance. The overall results demonstrate that FT-NIR spectroscopy combined with siPLS algorithm can be used to measure process variables in solid-state fermentation of wheat straw, and NIR spectroscopy technique has a potential to be utilized in SSF industry.
authors: School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, PR China. jiangh1118@163.com
authors: Hui
authors: H
authors: Jiang
authors: Guohai
authors: G
authors: Liu
authors: Congli
authors: C
authors: Mei
authors: Shuang
authors: S
authors: Yu
authors: Xiahong
authors: X
authors: Xiao
authors: Yuhan
authors: Y
authors: Ding
mesh_terms: D000465:Algorithms; D002138:Calibration; D002175:Candida / Q000378:metabolism; D005285:Fermentation; D006813:Humidity; D006863:Hydrogen-Ion Concentration; D016018:Least-Squares Analysis; D012015:Reference Standards; D017550:Spectroscopy, Fourier Transform Infrared; D019265:Spectroscopy, Near-Infrared / Q000379:methods*; D014242:Trichoderma / Q000378:metabolism; D014908:Triticum / Q000737:chemistry*; D014866:Waste Products / Q000032:analysis*
chemical_list: D014866:Waste Products