Monitoring Some Quality Attributes of Different Wheat Varieties by Infrared Technology

Abstract

There appears to be an acceleration in the growth of non-destructive applications for monitor and detection quality of agricultural products, especially internal quality. These technological developments have greatly increased the demand of consumers to obtain a high-quality product and safe. Near infrared (NIR) spectroscopy one of the most important of these technologies. Accordingly, NIR spectroscopy was used to monitor and quantification the protein, gluten, moisture content, starch in some wheat varieties treated by different nitrogen fertilization rates. Partial least-squares (PLS) analysis was implemented for calibration models. The best PLS model was achieved with NIR region (1000 to 2500 nm) for protein, gluten, starch, and region from 680 to 2500 nm for moisture content. Different external validation sets were used to evaluate the accuracy of the global calibration model for protein, gluten, moisture content and starch; the coefficient of prediction (R^2P) were 0.96, 0.98, 0.98 and 0.94, while, the ratio of the standard deviation of the reference data to the standard error of prediction (RPD) were 6.25, 6.53, 9.79 and 4.82  respectively. The precision of prediction model provided by the NIR equations confirming, that NIR technology could be a rapid, safe and precision method for wheat quality monitoring and quantification.