[Study on temperature correctional models of quantitative analysis with near infrared spectroscopy].
Effect of enviroment temperature on near infrared spectroscopic quantitative analysis was studied. The temperature correction model was calibrated with 45 wheat samples at different environment temperaturs and with the temperature as an external variable. The constant temperature model was calibated with 45 wheat samples at the same temperature. The predicted results of two models for the protein contents of wheat samples at different temperatures were compared. The results showed that the mean standard error of prediction (SEP) of the temperature correction model was 0.333, but the SEP of constant temperature (22 degrees C) model increased as the temperature difference enlarged, and the SEP is up to 0.602 when using this model at 4 degrees C. It was suggested that the temperature correctional model improves the analysis precision.
Zhang
Jun
J
State Key Laboratory of Applied Optics, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130022, China.
Chen
Hua-cai
HC
Chen
Xing-dan
XD
D000465:Algorithms; D016015:Logistic Models; D010940:Plant Proteins / Q000032:analysis / Q000592:standards; D012015:Reference Standards; D015203:Reproducibility of Results; D019265:Spectroscopy, Near-Infrared / Q000379:methods / Q000592:standards*; D013696:Temperature; D014908:Triticum / Q000378:metabolism
D010940:Plant Proteins