Recent developments in hyperspectral imaging for assessment of food quality and safety.
Hyperspectral imaging which combines imaging and spectroscopic technology is rapidly gaining ground as a non-destructive, real-time detection tool for food quality and safety assessment. Hyperspectral imaging could be used to simultaneously obtain large amounts of spatial and spectral information on the objects being studied. This paper provides a comprehensive review on the recent development of hyperspectral imaging applications in food and food products. The potential and future work of hyperspectral imaging for food quality and safety control is also discussed.
Department of Bioresource Engineering, McGill University, Macdonald Campus, 21,111 Lakeshore Road, Ste-Anne-de-Bellevue, QC H9X 3V9, Canada. hui.huang3@mail.mcgill.ca.
Hui
H
Huang
Department of Bioresource Engineering, McGill University, Macdonald Campus, 21,111 Lakeshore Road, Ste-Anne-de-Bellevue, QC H9X 3V9, Canada. li.liu5@mcgill.ca.
Li
L
Liu
Department of Bioresource Engineering, McGill University, Macdonald Campus, 21,111 Lakeshore Road, Ste-Anne-de-Bellevue, QC H9X 3V9, Canada. michael.ngadi@mcgill.ca.
Michael O
MO
Ngadi
D005504:Food Analysis; D059022:Food Safety; D021621:Imaging, Three-Dimensional / Q000379:methods*; D011786:Quality Control; D013057:Spectrum Analysis / Q000379:methods*