High-throughput characterisation of fatty acids using GC×GC–FID for reliable nutritional labelling of food
The analysis of fatty acids in food is important for
assessing nutritional content, and quantitation of both cis- and trans-fatty
acids is particularly important.
However, the sample preparation to form
GC-amenable fatty acid methyl esters (FAMEs) is often time-consuming and
labour-intensive, and conventional 1D GC struggles to resolve all components,
meaning certain fatty acids may be overestimated.
Here, we apply one-step
microwave-assisted extraction and derivatisation prior to enhanced separation
by flow-modulated GC×GC–FID for faster, greener and more reliable nutritional
labelling of food.
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