Wine Chemistry and Biochemistry

(Steven Felgate) #1

3A Sparkling Wines and Yeast Autolysis 65


has been used in numerous works, from 1990 until today (Maujean et al. 1990;


Brissonet and Maujean 1991, 1993; Robillard et al. 1993; Dussaud et al. 1994;


Malvy et al. 1994; Andr ́es-Lacueva et al. 1996a, 1997; Gallart et al. 1997, 2004;


L ́opez-Barajas et al. 1998, 1999; Sen`ee et al. 1998; Lao et al. 1999; Marchal


et al. 2001, 2002, 2006; Girbau-S `ola et al. 2002b; Vanrell et al. 2002; Dambrouck


et al. 2005; Cilindre et al. 2007; Vanrell et al. 2007).


The validity of the results obtained with the Mosalux has been verified, since


there is a good correlation between these parameters and other foaming parame-


ters such as foam height and stability, established by Robillard et al. (1993) and


Bikerman’s coefficient. The foam quality of a wine can be predicted by a mathemat-


ical model developed by combining some of these parameters (Gallart et al. 1997;


L ́opez-Barajas et al. 1999). A good relationship has also been established between


the foaming properties obtained with Mosalux and those obtained by evaluating the


foam quality by sensorial analysis (Gallart et al. 2004).


In the Instituto de Fermentaciones Industriales of the Spanish National Research


Council Research (CSIC), a piece of equipment has been designed to measure foam


produced by gas sparging that uses an ultrasound emitter-detector and a waveguide


to detect fluctuations in the foam (Moreno-Arribas et al. 2000; Mart ́ınez-Rodr ́ıguez


and Polo 2003; Mart ́ınez-Rodr ́ıguez et al. 2001b; Hidalgo et al. 2004; Pozo-Bay ́on


et al. 2004; Nunez et al. 2005, 2006). Moreover, the value of the results obtained


with this technique and their relationship with the parameters established in the


sensorial analysis has also been demonstrated.


The image analysis methods can be used to evaluate the height and collar pro-
duced in the glass by the foam by a system of artificial vision (Machet et al. 1993;


Robillard et al. 1995). This method has the advantage that it can evaluate the quality


of the foam in an automated manner by using video cameras but in real condi-


tions in a glass. The conclusions reached in this work are that it is important to


take into account the quality of the glasswhen evaluating foam quality produced in


sparkling wines, since it significantly affects this property, as also do the environ-


mental parameters during the analysis.


Another extensive group of works, described in the literature, focus on different


physico-chemical aspects of the effervescence in sparkling wines to try to explain


bubble formation (nucleation) and survival, both in the interior of the liquid and also


at its surface. Some of these works even propose models constructed with fibers to


simulate bubble formation and behaviour (Casey 1987, 1995, 2000; Jordan and


Napper 1994; Liger-Belair et al. 1999, 2001, 2002, 2006; Liger-Belair 2005; P ́eron


et al. 2000, 2001, 2004; Sen`ee et al. 1999; Uzel et al. 2006; Tufaile et al. 2007;


Voisin et al. 2005).


The studies published by Sen`ee et al. (1999, 2001) show that the endogenous


particles (bentonite and yeasts) that can exist in a wine also have an important effect


on foam quality, simultaneously having both positive and negative effects, since they


have different effects on the various foaming parameters.


Most of the studies published in the literature on sparkling wine quality are aimed


at establishing the effect of the chemical composition of these wines and the differ-
ent technologies used in their production on their foaming qualities.

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