Electronic senses were applied in order to evaluate the effect of brewing temperature on the sensorial properties of espresso coffees (EC) produced by a bar machine of the latest generation able to work with constant, increasing and decreasing water temperature profiles. The obtained ECs were analyzed by e-nose, e-tongue and e-eye to depict their aroma and taste fingerprint and to evaluate the visual characteristics of foam. Physico-chemical analyses were carried out to determine the extraction rate of typical EC components and to evaluate their antioxidant activity. The electronic devices coupled with multivariate statistical analysis demonstrated a good ability to discriminate and characterize coffee samples on the basis of their sensorial properties in relation to the brewing temperature. According to these results, electronic senses can be applied to assess the influence of the percolation parameters on the sensory attributes of ECs thus resulting useful tools for the optimization of processing conditions.
Application of electronic senses to characterize expresso coffees brewed with different thermal profiles / S. Buratti, S. Benedetti, G. Giovanelli. - In: EUROPEAN FOOD RESEARCH AND TECHNOLOGY. - ISSN 1438-2377. - 243:3(2017), pp. 511-520.
Application of electronic senses to characterize expresso coffees brewed with different thermal profiles
S. Buratti
;S. BenedettiSecondo
;G. GiovanelliUltimo
2017
Abstract
Electronic senses were applied in order to evaluate the effect of brewing temperature on the sensorial properties of espresso coffees (EC) produced by a bar machine of the latest generation able to work with constant, increasing and decreasing water temperature profiles. The obtained ECs were analyzed by e-nose, e-tongue and e-eye to depict their aroma and taste fingerprint and to evaluate the visual characteristics of foam. Physico-chemical analyses were carried out to determine the extraction rate of typical EC components and to evaluate their antioxidant activity. The electronic devices coupled with multivariate statistical analysis demonstrated a good ability to discriminate and characterize coffee samples on the basis of their sensorial properties in relation to the brewing temperature. According to these results, electronic senses can be applied to assess the influence of the percolation parameters on the sensory attributes of ECs thus resulting useful tools for the optimization of processing conditions.File | Dimensione | Formato | |
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