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Optimization of mead production using response surface methodology.

Teresa Gomes¹, Carla Barradas, Teresa Dias

¹ESA-Polytechnic Institute of Bragança, Apartado 1172, Bragança, Portugal.

Food and Chemical Toxicology : an International Journal Published for the British Industrial Biological Research Association

|July 17, 2013

Summary

This summary is machine-generated.

Optimizing mead production with Response Surface Methodology (RSM) identified ideal fermentation conditions. The study achieved desired mead quality by controlling temperature and nutrient levels for optimal ethanol and minimal acetic acid production.

Keywords:

Fermentation products Mead Optimization Response Surface Methodology

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Area of Science:

Food Science
Fermentation Technology
Biotechnology

Background:

Mead production involves complex fermentation processes influenced by environmental factors.
Optimizing mead quality requires understanding the impact of temperature and nutrient availability on key chemical compounds.
Traditional mead production methods may not consistently yield desired quality parameters.

Purpose of the Study:

To optimize mead production using Response Surface Methodology (RSM).
To investigate the effects of temperature and nutrient concentration on mead fermentation.
To determine the optimal conditions for maximizing mead quality attributes.

Main Methods:

Response Surface Methodology (RSM) was employed to model and optimize mead production.
The study examined the influence of temperature (20-30°C) and nutrient concentration (60-120g/hL) on fermentation outcomes.
Second-order polynomial models were fitted to experimental data for key mead components.

Main Results:

Optimal mead production conditions were determined to be 24°C and 0.88g/L nutrient concentration.
The optimized mead exhibited 10.2% ethanol, 0.54 g/L acetic acid, 7.8 g/L glycerol, 1.8 g/L glucose, and 2.5 g/L fructose.
Model predictions showed satisfactory agreement with experimental data (R² values ranging from 0.646 to 0.913).

Conclusions:

The study successfully optimized mead production parameters using RSM.
The identified optimal conditions yielded mead within safe and recommended ranges for acetic acid and glycerol.
Low residual sugar levels in the optimized mead minimize the risk of refermentation.