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Near infrared spectroscopy and hyperspectral imaging for non-destructive quality assessment of cereal grains

Caporaso, Nicola; Whitworth, Martin B.; Fisk, Ian D.


Nicola Caporaso

Martin B. Whitworth


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.


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.

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
Keywords hyperspectral chemical imaging; NIR spectral imaging; cereal quality; single grains analysis; non-destructive analysis; wheat
Public URL
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31_01_2018_Near-Infra.pdf (973 Kb)

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