Voltammetric profiling of absinthes

• DPV with CGMDE was applied in absinthes profiling
• Optimization of the accumulation time was a crucial task
• Recorded signals significantly differed for absinthes of different brands
• Unprocessed voltammograms were an input data to unsupervised chemometric methods
• PCA, HCA and k-means shown that the set of objects is clearly structured and reflected natural order of the data

The paper demonstrates that differential pulse voltammetry with a controlled growth mercury drop electrode, supported by the unsupervised multivariate chemometric methods enables distinguishing of absinthes brands. Signals recorded for the unpretreated samples are repetitive for the same absinthe producer. Unprocessed complex voltammetric signals recorded by different accumulation time were an input data to PCA, HCA and k-means modeling. Homogeneous clusters were formed which reflected the natural order in the set of samples.

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