Abstract

For the purpose of SO ₂ reduction and stabilizing ice wine, a new antibacterial technique was developed and verified in order to reduce the content of sulfur dioxide ( SO ₂) and simultaneously maintain protein stability during ice wine aging process. Hazardous bacterial strain (lactic acid bacteria, LAB ) and protein stability of Italian Riesling ice wine were evaluated in terms of different amounts of lysozyme, SO ₂, polyphenols, and wine pH by single‐factor experiments. Subsequently, a quadratic rotation‐orthogonal composite design with four variables was conducted to establish the multiple linear regression model that demonstrated the influence of different treatments on synthesis score between LAB inhibition and protein stability of ice wine. The results showed that, synthesis score can be influenced by lysozyme and SO ₂ concentrations on an extremely significant level ( P < 0.01). Furthermore, the lysozyme‐combined antibacterial system, which is specially designed for ice wine aging, was optimized step by step by response surface methodology and ridge analysis. As a result, the optimal proportion should be control in ice wine as follows: 179.31 mg L⁻¹ lysozyme, 177.14 mg L⁻¹ SO ₂, 0.60 g L⁻¹ polyphenols, and 4.01 ice wine pH . Based on this system, the normalized synthesis score between LAB inhibition and protein stability can reach the highest point 0.920. Finally, by the experiments of verification and comparison, it was indicated that lysozyme‐combined antibacterial system, which was a practical and prospective method to reduce SO ₂ concentration and effectively prevent contamination from hazardous LAB , can be used to stabilize ice wine during aging process.

Hazardous microbe (lactic acid bacteria, LAB ) and protein stability of Italian Riesling ice wine were evaluated and monitored in terms of different amount of lysozyme, SO₂, polyphenols, and wine pH by conducting single‐factor experiments. A quadratic rotation‐orthogonal composite design with four factors was used to establish the relevant regression model that describes the influence of different treatments on the synthesis score between LAB and protein stability.