Discrimination and sensory description of beers through data fusion

► HS-MS, mid-IR and UV-visible were applied to analyze beer samples from four factories. ► The data from the three instruments were fused to improve the ability of classification. ► Mid-level fusion provided better classification results. ► Score and loading plots of Fisher-LDA provided chemical information. ► The instrumental variables were related to some compounds responsible of the sensory perception.