Many food products have a non uniform distribution of composition. For example, fried products have a higher fat content near surfaces, and baked products have a higher moisture content in the centre of the product. Compositional mapping techniques allow these gradients to be measured and visualised.
Hyperspectral NIR imaging
This technique enables detailed measurements of composition for cross sections of products. Hyperspectral NIR imaging combines the technologies of near infrared (NIR) spectroscopy and imaging to measure spectral and spatial information for food samples. An NIR spectrum is measured for each pixel in an image of a food sample. This technique enables the distribution of composition to be mapped.
Qualitative analysis of composition can be performed by measuring individual absorbance bands. This provides an indication of compositional changes across a sample.
Maps showing % composition across product cross sections can be generated. This requires a product specific NIR calibration to be developed.
Additionally, food products often contain multiple components with differing composition. Over time, migration between different components occurs (e.g. moisture migration from a moist pie filling into the dry pastry crust). This migration often limits product acceptability, and shelf life. These variations are difficult to measure using bulk methods but Hyperspectral NIR imaging provides a method to measure this migration.
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Where we refer to UKAS Accreditation
Campden BRI (Chipping Campden) Limited is a UKAS accredited testing laboratory No. 1079 Campden BRI (Nutfield) is a UKAS accredited testing laboratory No. 1207