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Background and Aims: Italy is the richest grape-producing country in terms of cultivars. Our aims were to describe the diversity of astringency of Italian red wines from 11 cultivars, Teroldego, Corvina, Raboso, Nebbiolo, Sangiovese, Sagrantino, Montepulciano, Cannonau, Aglianico, Primitivo and Nerello, and to test correlations between in-mouth sensory variables and chemical composition. Methods and Results: A sample sub-set was selected by sorting and then assessed on astringency sub-qualities (drying, harsh, unripe, dynamic, complex, surface smoothness, particulate) and tastes (sweet, acid, bitter). Inter-cultivar differences were detected for six of the seven sub-qualities: three diverse intensities for drying, two for harsh, unripe, dynamic, complex and velvet and none for particulate. Discriminant analysis showed that these sub-qualities allowed a good discrimination of the wines according to the cultivar. Well reclassified samples (88%) were considered to develop a single-cultivar ‘astringency spectra’, profiles describing the balance among sub-qualities. Correlations highlighted that neither total phenols nor proanthocyanidins can predict the perception of all astringency nuances. Conclusions: For some single cultivar wines, it was possible to identify a pattern of astringency features likely to be linked to the cultivar. Significance of the Study: This work adds insights to the understanding of astringency sub-qualities while enhancing the knowledge of Italian wines. Results may support the awareness of winemakers of wines from native cultivars, and assist in building models of astringency.

This work aimed at investigating red wine olfactory&ndash, oral cross-modal interactions, and at testing their impact on the correlations between sensory and chemical variables. Seventy-four Italian red whole wines (WWs) from 10 varieties, and corresponding deodorized wines (DWs), were evaluated by sensory descriptive assessment. Total phenols, proanthocyanidins, ethanol, reducing sugars, pH, titratable and volatile acidity were determined. PCA results highlighted different sensory features of the 10 wine types. ANOVAs (p &lt, 0.05) showed that olfactory cues might play modulation effects on the perception of in-mouth sensations with 7 (harsh, unripe, dynamic, complex, surface smoothness, sweet, and bitter) out of 10 oral descriptors significantly affected by odours. Three weak but significant positive correlations (Pearson, p &lt, 0.0001) were statistically found and supported in a cognitive dimension: spicy and complex, dehydrated fruits and drying, vegetal and unripe. In the absence of volatiles, correlation coefficients between sensory and chemical parameters mostly increased. Proanthocyanidins correlated well with drying and dynamic astringency, showing highest coefficients (r &gt, 0.7) in absence of olfactory&ndash, oral interactions. Unripe astringency did not correlate with polyphenols supporting the idea that this sub-quality is a multisensory feeling greatly impacted by odorants. Results support the significance of cross-modal interactions during red wine tasting, confirming previous findings and adding new insights on astringency sub-qualities and their predictive parameters.