Rapid estimation of single cell oil content of solid-state fermented mass using near-infrared spectroscopy.
Calibration model using near-infrared reflectance spectroscopy (NIRS) for estimation of SCO content in solid-state fermented mass was established. The NIRS calibration model was derived by partial least-squares (PLS) regression and prediction of SCO contents of independent solid-state fermented mass samples fermented by different oleaginous fungi showed the model to be rapid and accurate, giving R(2)-value higher than 0.9552 and root mean standard error of prediction (RMSEP) value lower than 0.5772%. The established NIRS calibration model could be used to estimate the SCO contents of the solid-state fermented masses and will provide much convenience to the research of SCO production in solid-state fermentation.
Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100080, People's Republic of China.
Xiaowei
X
Peng
Hongzhang
H
Chen
D001419:Bacteria / Q000166:cytology*; D002138:Calibration; D005285:Fermentation; D016018:Least-Squares Analysis; D009821:Oils / Q000032:analysis*; D015203:Reproducibility of Results; D019265:Spectroscopy, Near-Infrared / Q000379:methods*
D009821:Oils