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Hyperspectral imaging - Articles and news items

Key Technology introduces the all-new VERYX digital sorting platform

Featured news  •  24 September 2015  •  Key Technology

With unprecedented full object surface coverage, multi-sensor data fusion and the highest resolution cameras and laser sensors available on a digital sorter, VERYX achieves new levels of detection and discrimination of foreign material and product defects…

NIR hyperspectral imaging for detection of nut contamination

Issue 4 2015  •  1 September 2015  •  Puneet Mishra, Belén Diezma and Pilar Barreiro, Universidad Politécnica de Madrid

‘Nut’ is used to describe a wide range of seeds with a seed coat or shell. Because of high-energy content, micronutrients and positive global health impact, nuts have been present for centuries in human diet. However, over recent decades they have increasingly been found to induce adverse health effects. With an increasing number of individuals affected with allergenic reactions, nuts allergies are a growing global concern. Nuts are common food allergens and are the leading cause of fatalities from food-induced allergenic reactions in developed countries. Allergenic conditions arising from the consumption of nuts are generally thought to be life-long and typically severe. No definite treatment is yet available for nut and seed allergies. Dietary avoidance is the primary way to manage these allergies and requires the ability in the food industry to identify peanuts or tree nuts…

Peanut contamination could be easier to detect with infrared hyperspectral imaging

Industry news  •  20 April 2015  •  Victoria White

New research has revealed that peanut contamination in food products could soon become much easier to detect using NIR hyperspectral imaging (HSI)…

Hyperspectral chemical imaging maps food composition in laboratory and on-line

Issue 3 2009  •  10 September 2009  •  T. Hyvärinen & H. Karjalainen, SPECIM, Spectral Iimaging Ltd; D. Nilsson, Umbio AB and K. Lynch, Gilden Photonics

Hyperspectral imaging combines digital imaging with precise spectral information in each image pixel. It enables composition mapping in food and agricultural raw materials and products based on differences in the spectral signatures of the various chemical ingredients. Advances in hyperspectral cameras and image processing solutions are now making hyperspectral imaging an efficient tool for high throughput laboratory analyses, and even making it possible to apply it on-line in quality assurance and process control applications.

Mapping food composition using NIR hyperspectral imaging

Issue 3 2008, Past issues  •  18 August 2008  •  S.J. Millar, M.B. Whitworth, A. Chau, Campden & Chorleywood Food Research Association and J.R. Gilchrist, Gilden Photonics Ltd

Near infrared (NIR) spectroscopy is widely used in the global agri-food industry for the non-destructive assessment of both the compositional and physical characteristics of a wide range of raw materials and finished products. This is particularly so in the cereals and related industries where, following the commercial development of suitable NIR instrumentation in the 1970s, the technique rapidly became the main means of determining a range of compositional properties which form the basis of trading operations worldwide.


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