Application of low-intensity ultrasound as a rapid, cost-effective tool to wheat screening: A systematic frequency selection

Citation

Salimi Khorshidi, A., Thandapilly, S.J., Ames, N. (2018). Application of low-intensity ultrasound as a rapid, cost-effective tool to wheat screening: A systematic frequency selection, 82 190-197. http://dx.doi.org/10.1016/j.jcs.2018.06.011

Plain language summary

This research article is a starting point for the development of a rapid, cost-effective tool based on low-intensity ultrasound for wheat screening purposes. In this article, the capability of ultrasound waves for wheat variety discrimination was employed at five frequencies, 0.5-10 MHz, to select the frequency at which best variety discrimination is achieved. Five wheat varieties with comparable protein content but varying protein strength were chosen for this purpose. The results of ultrasonic measurements were then compared with those of conventional methods such as farinograph, mixograph and extensograph which are regularly used in wheat quality laboratories. Reasonable agreement between parameters derived from ultrasound measurements and those of other tests was observed at 10 MHz. Statistical analysis of the data revealed significantly high correlation coefficients between ultrasonic parameters at 10 MHz and parameters derived from conventional measurements. Among the frequencies utilized in this study, 10 MHz was found to be the best frequency for discriminating wheat varieties.

Abstract

© 2018 A preliminary study on the potential of low-intensity ultrasound for wheat screening purposes was carried out. A transmission technique with the use of longitudinal ultrasonic waves at five frequencies was utilised (0.5–10 MHz) to enable selection of the frequency at which the best discrimination and quality evaluation of five Canadian wheat varieties are achieved. Mixograph, farinograph and micro-extension parameters were also determined for comparison purposes. Statistical interpretation of the data was performed using principal component analysis (PCA) and generalized linear model (GLM). Results indicated that ultrasonic measurements at 10 MHz allowed for better discrimination of wheat varieties with a reasonable degree of confidence, compared to other frequencies. Moreover, correlations between parameters derived from ultrasonic measurements at 10 MHz and those of mixograph, farinograph and micro-extension were found to be significant (P ≤ 0.05) and in good agreement with the definitions of the parameters studied. Based on the statistical analysis of the data, ultrasonic phase velocity and longitudinal storage modulus at 10 MHz were found to be the best discriminators of the wheat varieties used in this study.

Publication date

2018-07-01