
The main aim of the present work was to optimize mead production using Response Surface Methodology. The effects of temperature (x₁: 20-30°C) and nutrients concentration (x₂: 60-120g /hL) on mead quality, concerning the final concentrations of glucose (Y₁), fructose (Y₂), ethanol (Y₃), glycerol (Y₄) and acetic acid (Y₅), were studied. Twelve operational conditions were tested. No delays and moods were observed during fermentations. The second order polynomial models determined produced satisfactory fittings of the experimental data with regard to glucose (R²=0.646, p=0.001), ethanol (R²=0.741, p=0.049), glycerol (R²=0.899, p=0.002), fructose (R²=0.902, p=0.033) and acetic acid (R²=0.913, p=0.001). The optimum extraction conditions determined in order to maximize the combined responses were 24°C and a nutrients concentration of 0.88g/L. The mead produced under these conditions had the following characteristics: ethanol concentration of 10.2%, acetic acid 0.54 g/L, glycerol 7.8 g/L, glucose 1.8 g/L and fructose 2.5 g/L. These values were in agreement with the predicted and were within the safe limit established for acetic acid and the recommended range for glycerol. Furthermore, the residual sugars concentration was also low, decreasing the possibility of occurring undesirable refermentations.
Optimization, Glycerol, Models, Statistical, Ethanol, Portugal, Food Handling, Alcoholic Beverages, Statistics as Topic, Temperature, Honey, Saccharomyces cerevisiae, Kinetics, Mead, Fermentation products, Fermentation, Dietary Carbohydrates, Food Quality, Response Surface Methodology, Acetic Acid
Optimization, Glycerol, Models, Statistical, Ethanol, Portugal, Food Handling, Alcoholic Beverages, Statistics as Topic, Temperature, Honey, Saccharomyces cerevisiae, Kinetics, Mead, Fermentation products, Fermentation, Dietary Carbohydrates, Food Quality, Response Surface Methodology, Acetic Acid
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