Aroma compositions are usually complex mixtures of odor-active compounds exhibiting diverse molecular structures, and assessing or predicting the olfactory qualities of such mixtures is challenging. Here, fast automated analytical assessment tools are combined with the human sensory data of 11 experienced panelists and machine learning algorithms, enabling samples to be distinguished and classified based on their detected molecules, and gaining insights into key molecular structure characteristics and odor descriptors.
- Satnam Singh
- Doris Schicker
- Andreas T. Grasskamp
