Anatune, our UK distributor, has published an exciting new app note describing the use of SIFT-MS in a chemometric approach to beer profiling. As consumers are increasingly becoming savvier to flavor, beer variety has increased with the advent of craft beer microbreweries. As aroma is one of the key properties of differentiating flavor this opens up an analytical challenge as beer producers are increasingly looking for a competitive edge.
The chemometric approach involves using powerful statistical methods to characterize samples based on small changes in a large number of variables. In Anatune’s study, headspace profiles of 79 compounds – including ethanol, furfural, alpha-humulene, hydrogen sulfide and limonene – were obtained directly using a Voice200ultra SIFT-MS instrument coupled with the GERSTEL Autosampler. The data generated were analyzed using principal component analysis (PCA) to differentiate the beer samples. The generated model was able to clearly distinguish between the beer varieties.
The figure below illustrates the powerful characterization achieved by SIFT-MS coupled with chemometrics.
PCA for the comparison of three beer samples by SIFT-MS
Read more by downloading the Anatune app note here.