Monitoring lignocellulosic bioethanol production processes using Raman spectroscopy.

摘要: Abstract Process control automation in the emerging biorefinery industry may be achieved by applying effective methods for monitoring compound concentrations during production processes. This study examines application of Raman spectroscopy with an excitation wavelength 785 nm and immersion probe situ progression pretreatment, hydrolysis fermentation processes lignocellulosic ethanol. signals were attenuated light scattering cells particulates, which quantification method to some degree could correct using internal standard spectra. Allowing particulates settle a slow stirring speed further improved results, suggesting that should used combination continuous separation when monitor process mixtures large amounts particulates. The root mean square error prediction (RMSE) ethanol glucose measured real-time was determined 0.98 g/L 1.91 g/L respectively.