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Raman and Fourier transform infrared hyperspectral imaging to study dairy residues on different surface

Milk is a complex emulsion of fat and water with proteins (such as caseins and whey), vitamins, minerals and
lactose dissolved within. The purpose of this study is to automatically distinguish different dairy residues on substrates
commonly used in the food industry using hyperspectral imaging. Fourier transform infrared (FT-IR) and Raman
hyperspectral imaging were compared as candidate techniques to achieve this goal. Aluminium and stainless-steel, types
304-2B and 316-2B, were chosen as surfaces due to their widespread use in food production. Spectra of dried samples
of whole, skimmed, protein, butter milk and butter were compared. The spectroscopic information collected was not only
affected by the chemical signal of the milk composition, but also by surface signals, evident as baseline and multiplicative
effects. In addition, the combination of the spectral information with spatial information can improve data interpretation in
terms of characterising spatial variability of the selected surfaces.