4.7 Article

Rapid and non-destructive determination of protein and starch content in agricultural powders using near-infrared and fluorescence spectroscopy, and data fusion

Journal

POWDER TECHNOLOGY
Volume 381, Issue -, Pages 620-631

Publisher

ELSEVIER
DOI: 10.1016/j.powtec.2020.12.030

Keywords

Near-infrared spectroscopy; Fluorescence spectroscopy; Data fusion; Protein analysis; Starch analysis; Triboelectrostatic separation

Funding

  1. Natural Sciences and Engineering Research Council of Canada

Ask authors/readers for more resources

Triboelectrostatic separation, coupled with near infrared and fluorescence spectroscopy, allows for rapid determination of protein and starch content in powder fractions. The use of partial least squares method confirms the reliability of NIR spectroscopy for quick assessment of protein and starch-rich powders, with the highest accuracy achieved by the NIR and fluorescence data fusion model.
Triboelectrostatic separation is a promising technology for the fractionation of agricultural flours to produce proteinand starch-enriched fractions. Rapid determination of the protein and starch content of these powder fractions is required for process development, optimization and ultimately control. The suitability of near infrared and fluorescence spectroscopy along with data fusion for the rapid determination of protein and starch content and the development of a robust multivariate regression model was the objective in this work. A total of 102 samples were collected following triboelectrostatic separation of bean flour and analyzed using NIR and fluorescence spectroscopy. The superior performance of partial least squares method for both protein and starch, confirmed that NIR spectroscopy is a reliable method for rapid determination of proteinand starch-rich powders. The NIR and fluorescence data fusion model performed with the highest accuracy to predict the protein content. (C) 2020 Elsevier B.V. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available