Nicola Caporaso
Near infrared spectroscopy and hyperspectral imaging for non-destructive quality assessment of cereal grains
Caporaso, Nicola; Whitworth, Martin B.; Fisk, Ian D.
Authors
Abstract
Hyperspectral imaging (HSI) combines spectroscopy and imaging, providing information about the chemical properties of a material and their spatial distribution. It represents an advance of traditional Near-Infrared (NIR) spectroscopy. The present work reviews the most recent applications of NIR spectroscopy for cereal grain evaluation, then focused on the use of HSI in this field. The progress of research from ground material to whole grains and single kernels is detailed. The potential of NIR-based methods to predict protein content, sprout damage and ?-amylase activity in wheat and barley is shown, in addition to assessment of quality parameters in other cereals such as rice, maize and oats, and the estimation of fungal infection. This analytical technique also offers the possibility to rapidly classify grains based on properties such as variety, geographical origin, kernel hardness, etc. Further applications of HSI are expected in the near future, for its potential for rapid single-kernel analysis.
Citation
Caporaso, N., Whitworth, M. B., & Fisk, I. D. (2018). Near infrared spectroscopy and hyperspectral imaging for non-destructive quality assessment of cereal grains. Applied Spectroscopy Reviews, 53(8), 667-687. https://doi.org/10.1080/05704928.2018.1425214
Journal Article Type | Article |
---|---|
Acceptance Date | Jan 4, 2018 |
Online Publication Date | Jan 30, 2018 |
Publication Date | Jan 30, 2018 |
Deposit Date | Jan 23, 2018 |
Publicly Available Date | Jan 30, 2018 |
Journal | Applied Spectroscopy Reviews |
Print ISSN | 0570-4928 |
Electronic ISSN | 1520-569X |
Publisher | Taylor & Francis Open |
Peer Reviewed | Peer Reviewed |
Volume | 53 |
Issue | 8 |
Pages | 667-687 |
DOI | https://doi.org/10.1080/05704928.2018.1425214 |
Keywords | hyperspectral chemical imaging; NIR spectral imaging; cereal quality; single grains analysis; non-destructive analysis; wheat |
Public URL | https://nottingham-repository.worktribe.com/output/908093 |
Publisher URL | http://www.tandfonline.com/doi/full/10.1080/05704928.2018.1425214 |
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Copyright Statement
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by/4.0
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