Rapid measurement for moisture content of bio oil based on near infrared spectroscopy

Rapid determination of the moisture content of bio-oil has been of great importance in improving the quality of bio-oil. In this paper, the determination of the water content of bio-oil using near-infrared spectroscopy was provided. The method of partial least squares (PLS) was used to establish the near-infrared calibration model for moisture content of bio-oil. The results demonstrated that: spectral information can successfully predict the bio-oil water content (from 38%to 57%) with a high coefficient of determination (R2=0.99528). The root mean square error of calibration (RMSEC) and root mean square error of prediction (SEP) were respectively 0.592 and 0.660. The difference of the actual and calculated value ranged from 0.65% to 1.75% as the model was validated by the spectra that didn't involve in model establishing. Therefore, the model can meet with the requirements of the basic accuracy in predicting water content in bio-oil. The reliability of the NIR model for predicting the bio-oil water content indicates that there is potential for utilization of NIR spectroscopy in monitoring bio-oil quality during production.