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A lexicon from the literature has been used for the characterisation of black ripe table olives from Spanish Manzanilla and Hojiblanca cultivars by Quantitative Descriptive Analysis (QDA). After confirming the acceptable reproducibility and repeatability of the panel, the descriptors that received the widest range of scores and significantly contributed to sample discrimination were: skin green, flesh green, skin sheen, flesh red, fibrousness, firmness, skin red, moisture release, fishy smell/ocean and flesh yellow. The effects of cultivar, growing area and storage period on the sensory profiles were relevant, as showed by spider graphs and multivariate methods. The map of variables, using bootstrapping techniques, associated descriptors like fibrousness, firmness, chewiness, skin red, flesh red, and skin sheen to PC1, which can then be related to texture, while PC2 was linked to skin green and astringency (related to phenols) or vinegar and fishy smell/ocean (possibly connected to cultivars). Centring data by panelist had a strong influence on the segregation of samples but increasing the number of panelists had a reduced additional effect. The diverse sensory profiles of samples were also summarised by biclustering.

This work studies the influence of cultivar and farming area on the sensory profile of green Spanish-style table olives, using Quantitative Descriptive Analysis. The lexicon developed was subsequently applied to samples of Gordal (G), Manzanilla (M), and Hojiblanca (H) from different origins: Arahal (A), Utrera (U), Alameda (Al), Estepa (E), Casariche (C), Alcalá de Guadaira (AG), Posadas (P), and Almendralejo (Am). The analysis of the data by ANOVA, considering the effect of the sample as fixed and those of the panelists and the sessions as random, showed good repeatability (no significant effect of the session). Bitter, salty, astringent, acid, alcohol and lupin descriptors had significant discriminating power. The samples were characterised by the following sensory attributes: HC, pungent and winery/wine; MP, salty and lupin; GA, acid and lactic acid; HAl, astringent and acetic/vinegar; and MAm, bitter and musty. The multivariate analysis combined with bootstrapping techniques offered a multidimensional view of repeatability, relationships among descriptors, and characterisation and segregation of products. The results then pointed to sensible differences among the sensory profiles of the samples due to cultivar and origin.