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首页> 外文期刊>International journal of food science & technology >Optimisation of fermentation conditions for mango (Mangifera indica L.) wine production by employing response surface methodology
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Optimisation of fermentation conditions for mango (Mangifera indica L.) wine production by employing response surface methodology

机译:利用响应面法优化芒果(Mangifera indica L.)葡萄酒生产的发酵条件

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摘要

Response surface methodology (RSM) was employed for the simultaneous analysis of fermentation conditions of temperature, pH and inoculum size on chemical characteristics such as ethanol, glycerol and volatile acidity, produced during mango wine production by Saccharomyces cerevisiae (var. bayanus). The experiments were carried out according to the central composite design to establish the optimum conditions for improving the quality of mango wine. The predicted values for optimisation process conditions were in good agreement with experimental data. The results showed that a satisfactory production of ethanol from the mango juice could be achieved reaching up to 10% (v/v), glycerol concentration is increased to 6.94 g L~(-1) and volatile acidity is minimised to 0.29 g L~(-1) at optimised fermentation conditions of temperature 22.5 ℃, pH 3.8 and inoculum size 11.9%. Verification of the model indicated no difference between predicted and observed values. Sensory evaluation studies shown overall acceptance of mango wine with good quality.
机译:响应面分析法(RSM)用于同时分析温度,pH和接种量的发酵条件,以了解酿酒酵母(Bay.ananus)在芒果酒生产过程中产生的化学特性,例如乙醇,甘油和挥发性酸度。根据中央复合设计进行实验,以建立改善芒果酒质量的最佳条件。优化工艺条件的预测值与实验数据非常吻合。结果表明,芒果汁可以令人满意地生产乙醇,达到10%(v / v),甘油浓度增加到6.94 g L〜(-1),挥发性酸度最小化到0.29 g L〜 (-1)在优化的发酵条件下,温度为22.5℃,pH为3.8,接种量为11.9%。对模型的验证表明预测值与观察值之间没有差异。感官评估研究表明,芒果酒的总体质量良好。

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