RESUMEN
This study aimed to investigate the potential of FT-NIR spectroscopy technique combined with chemometrics method, which employed to monitor time-related changes of alcohol concentration and residual glucose during solid state fermentation (SSF) of ethanol. Characteristic wavelength variables were firstly selected by use of L1-norm regularization approach. Then, the partial least squares (PLS) regression model was finally developed using the variables selected by L1-norm regularization method to quantitative determine alcohol concentration and residual glucose in SSF of ethanol. Compared with the best results of full-spectrum PLS, the L1-PLS model obtained better results as follows: RMSECVâ¯=â¯1.0392â¯g/L, Rcâ¯=â¯0.9911, RMSEPâ¯=â¯1.0910â¯g/L, Rpâ¯=â¯0.9917 for alcohol concentration; RMSECVâ¯=â¯1.7002â¯g/L, Rcâ¯=â¯0.9880, RMSEPâ¯=â¯2.1859â¯g/L, Rpâ¯=â¯0.9896 for residual glucose. The overall results sufficiently demonstrate that FT-NIR spectroscopy technique coupled with appropriate chemometrics method is a promising tool for monitoring the process of SSF of ethanol.