TY - JOUR T1 - Modeling by Response Surface Methodology of the Clarifying Process of <em>Muscat blanc</em> Must for the Production of a Sweet Sparkling Wine JF - American Journal of Enology and Viticulture JO - Am J Enol Vitic. DO - 10.5344/ajev.2018.18043 SP - ajev.2018.18043 AU - Donato Colangelo AU - Fabrizio Torchio AU - Luca Rolle AU - Vincenzo Gerbi AU - Dante Marco De Faveri AU - Milena Lambri Y1 - 2018/09/26 UR - http://www.ajevonline.org/content/early/2018/09/20/ajev.2018.18043.abstract N2 - This study optimized the clarifying of Muscat blanc must with either Ca- or Na- bentonite and related mixes in a dose range of 10รท100 g/hL through a Central Composite Design (CCD). Response Surface Methodology (RSM) estimated the combined effect of the bentonite type and dose on free i.e., aglycons, and glycosylated aroma compounds. Heat stability, turbidity, and color, were further analyzed. Results outlined that Na-prevalent bentonite mixes allowed at reducing significantly the must haziness, whilst mixes with 50% Ca-bentonite or higher lead to negligible decreases. The surface plots from RSM predicted the removal of aglycons of aroma compounds for Na-bentonite at lower doses and for Ca-bentonite regard less of the dose. Further, the model estimated the removal of glycosylated aroma compounds especially by Ca-prevalent bentonite at 50 g/hL. Although being limited to the experiments here considered, these outcomes can highly impact on the oenological sector to improve the aromatic sparkling wine production. ER -