[Study of temperature correction in the PLS near-infrared quantitative analysis of the wheat].

ABSTRACT

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.