Prediction of total carotenoids, color, and moisture content of carrot slices during hot air drying using non‐invasive hyperspectral imaging technique
Rosalizan Md Saleh, Boris Kulig, Arman Arefi, Oliver Hensel, Barbara Sturm
Abstract
The objective of this paper was to evaluate the performance of Partial Least Square Regression (PLSR) model and to assess the statistical agreement between two different measurement techniques, that is, Vis-NIR hyperspectral imaging (HSI) and standard laboratory methods for quality evaluation of dried carrots throughout the hot-air drying process. Carrots at commercial maturity of 3.5 months after planting were harvested in two seasons (2017 and 2018) and dried in a convective hot air dryer at 50C, 60C, and 70C. Quality measurements were examined at intervals of 30 minutes.
Topics & Concepts
CarotenoidHyperspectral imagingPartial least squares regressionWater contentCoefficient of determinationMoistureMathematicsFood scienceAnimal scienceChemistryStatisticsRemote sensingBiologyGeographyGeotechnical engineeringEngineeringOrganic chemistrySpectroscopy and Chemometric AnalysesFood Drying and ModelingPhytochemicals and Antioxidant Activities