Browse by author
Lookup NU author(s): Dr Barbara Sturm,
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
© 2017 Society of Chemical Industry Copyright © 2017 Society of Chemical Industry. BACKGROUND: The potential of hyperspectral imaging (500-1010nm) was evaluated for monitoring of the quality of potato slices (var. Anuschka) of 5, 7 and 9mm thickness subjected to air drying at 50°C. The study investigated three different feature selection methods for the prediction of dry basis moisture content and colour of potato slices using partial least squares regression (PLS). RESULTS: The feature selection strategies tested include interval PLS regression (iPLS), and differences and ratios between raw reflectance values for each possible pair of wavelengths (R[λ1]-R[λ2] and R[λ1]:R[λ2], respectively). Moreover, the combination of spectral and spatial domains was tested. Excellent results were obtained using the iPLS algorithm. However, features from both datasets of raw reflectance differences and ratios represent suitable alternatives for development of low-complex prediction models. Finally, the dry basis moisture content was high accurately predicted by combining spectral data (i.e. R[511nm]-R[994nm]) and spatial domain (i.e. relative area shrinkage of slice). CONCLUSIONS: Modelling the data acquired during drying through hyperspectral imaging can provide useful information concerning the chemical and physicochemical changes of the product. With all this information, the proposed approach lays the foundations for a more efficient smart dryer that can be designed and its process optimized for drying of potato slices.
Author(s): Moscetti R, Sturm B, Crichton SO, Amjad W, Massantini R
Publication type: Article
Publication status: Published
Journal: Journal of the Science of Food and Agriculture
Print publication date: 01/05/2018
Online publication date: 11/11/2017
Acceptance date: 04/10/2017
ISSN (print): 0022-5142
ISSN (electronic): 1097-0010
Publisher: John Wiley and Sons Ltd
Altmetrics provided by Altmetric