[Study of temperature correction in the PLS near-infrared quantitative analysis of the wheat].
The influence of sample temperature on the wheat PLS near infrared (NIR) quantitative analysis was studied with 45 wheat seeds. The original spectra of the wheat seeds were measured at different temperatures. The temperature corrections were subtracted from the original spectra of the samples by using the PLS algorithm. The corrected spectra were used to build the mathematical model of the near-infrared quantitative analysis of the wheat. The results show that the influence of sample temperature on the mathematical model can be eliminated effectively when the temperature correction was performed in the calculation, improving the stability and prediction of this mathematical model.
Luo
Chang-bing
CB
College of Information and Electrical Engineering, China Agricultural University, Beijing, China.
Chen
Li-wei
LW
Yan
Yan-lu
YL
Wang
Wen-zhen
WZ
Wang
Zhong-yi
ZY
D016018:Least-Squares Analysis; D008962:Models, Theoretical; D010936:Plant Extracts / Q000032:analysis*; D010940:Plant Proteins / Q000032:analysis; D011786:Quality Control; D019265:Spectroscopy, Near-Infrared / Q000379:methods / Q000592:standards*; D013696:Temperature; D014908:Triticum / Q000737:chemistry*
D010936:Plant Extracts; D010940:Plant Proteins