[Study of quantitative analysis of protein in barley using OSC-PLS algorithm].
Spectra of barley containing vast information were obtained with the dispersion spectrograph. The contents of protein in barley were determined by dispersive near infrared (NIR) spectroscopy. Pretreatment method of orthogonal signal correction (OSC) was used to reject uncorrelated variables in the original spectra before building the partial least squares NIR method (OSC-PLS). The results were compared with the regular PLS model. With the OSC-PLS method, the determination coefficient R2 was 0.901. The correlation coefficient of validation set was 0.971 7. The standard deviation (SD) and relative standard deviation (RSD)were 0.545 0 and 4.2% respectively. Applying OSC-PLS resulted in removal of non-correlated variation in spectra and reduced model's complexity with preserved ability and improved interpretative ability of variation in spectra. It means that the OSC-PLS is a fungible model to predict the contents of protein in barley veraciously to meet the demand of fast analysis of agricultural products.
Hou
Rui
R
College of Information and Electronic Engineering, China Agricultural University, Beijing 100083, China. hr1983@126.com
Ji
Hai-Yan
HY
Zhang
Lu-Da
LD
D000465:Algorithms; D002138:Calibration; D001467:Hordeum / Q000737:chemistry*; D016018:Least-Squares Analysis; D010940:Plant Proteins / Q000032:analysis*; D015203:Reproducibility of Results; D013055:Spectrophotometry, Infrared / Q000706:statistics & numerical data*
D010940:Plant Proteins