Raman hyperspectral imaging and analysis of fat spreads
The microstructure of fat spreads is of fundamental importance to their sensorial properties such as texture, mouthfeel and spreadability. Fat spreads are water in oil emulsions, with a continuous phase supported by a fat crystal network. Confocal Raman microscopy offers the possibility for the spat...
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Veröffentlicht in: | Journal of Raman spectroscopy 2017-08, Vol.48 (8), p.1075-1084 |
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Sprache: | eng |
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Zusammenfassung: | The microstructure of fat spreads is of fundamental importance to their sensorial properties such as texture, mouthfeel and spreadability. Fat spreads are water in oil emulsions, with a continuous phase supported by a fat crystal network. Confocal Raman microscopy offers the possibility for the spatial mapping of the microstructure of fat spreads: It can distinguish the solid and liquid phases of the lipids and the emulsifiers present at the water–oil interface. A constraint multivariate curve resolution with an alternating least squares approach using a fixed set of pure component spectra is a suitable method to extract the spatial distribution information of each individual component present in the fat spread. A new normalization method provides semi‐quantitative concentration maps, allowing good microstructural comparison. The technique was able to determine the spatial distribution of sunflower oil, water, emulsifier and solid fat in various investigated spreads. This method can be applied to a wide range of different food emulsions such as butter, margarine, mayonnaise and salad dressings. Copyright © 2017 John Wiley & Sons, Ltd.
Confocal Raman microscopy can be used for the direct imaging of the microstructure of fat spreads. A constraint multivariate curve resolution with alternating least squares approach using a fixed set of pure component spectra is a suitable method to extract the spatial distribution information of each individual component present in the fat spread: sunflower oil, water, emulsifier and solid fat. A new normalization method provides semi‐quantitative concentration maps, allowing good microstructural comparison. |
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ISSN: | 0377-0486 1097-4555 |
DOI: | 10.1002/jrs.5171 |