MAY 4-5, 2021 | Online Event
    ENOFORUM, the largest technical-specific wine industry event in Europe, takes place every other year attracting over 2,000 attendees from Italy, Spain, and Portugal and brings together over 1,900 t...
    Published on: 03/01/2021


Monteleone E., Condelli N., Dinella C., Bertucci M., 2003. Industria delle bevande, XXIII, Giugno.

A new model (AMI – Astringency Mucin Index) for the prediction of wine astringency was developed by the authors. The model is based on the relationship between the intensity of perceived astringency of oenological tannin solution and their reactivity with salivary proteins such as mucin. The predictive index of astringency intensity was defined on the basis of the increasing turbidity of alcoholic solutions containing known amount of tannin (eight concentrations) and mucin. The astringency of solutions was firstly predicted by the model then validated by a panel of thirty trained subjects used for sensorial evaluation of such solutions. Results pointed out that intensity of reaction between the tannin solutions and mucin fits the results obtained by the panel. The predictive capacity of AMI was finally compared with those of gelatin and BSA indexes. Authors suggest that AMI index allows to predict astringency intensity and can represent a valid instrument applicable to oenological industry. (We suggest you to read the entire article. Original title: Predizione dell’astringenza dei vini: costruzione e validazione del modello)

Published on 04/08/2004
Related sheets
© All Right Reserved
ISSN 1826-1590 VAT: IT01286830334
powered by Infonet Srl Piacenza
Privacy Policy
This website and its related third-party services make use of cookies necessary for the purposes described in the cookie policy. If you want to learn more about cookies or how to disable them (either totally or partially), please see the cookie policy. By closing this banner, scrolling through this page, clicking on a link or continuing navigation in any other way, you consent to the use of cookies.
More informationOK

- A +
ExecTime : 1,71875