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啤酒废酵母中谷胱甘肽的提取模型及最佳提取条件研究 被引量:1

The Study on the Model and Optimal Condition of Extracting Glutathione From Waste Beer Yeast
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摘要 指出了我国啤酒年产量已达到5000万t,啤酒废酵母的年产量可达50-75万t。啤酒废酵母主要综合利用方式是将其作为饲料工业的原料,但是啤酒废酵母中含有丰富的氨基酸、维生素、谷胱甘肽和矿物质等有用成分,将其作为饲料工业原料后,这些营养成分的附加值将会严重减少。打破传统的啤酒废酵母利用方式,以成都某啤酒生产厂的啤酒废酵母为原料提取谷胱甘肽,增加啤酒废酵母的经济附加值。以啤酒废酵母为研究原料,利用软件Design-expert 6.0中的响应面法分析了热水法提取啤酒废酵母中的谷胱甘肽(glutathione,简称GSH)的提取模型和最佳提取条件。通过响应面法分析得出热水法提取GSH的最佳实验条件为:pH值1.6、温度61.8℃、提取时间11.4min、料水比0.39g/mL。在此提取条件下,GSH的提取量达7.83mg/g,通过实验验证了理论值与实验值的相对误差为0.0008,表明响应面法得出的提取模型和最佳实验条件合理有效。 In China,the annual production of beer has already exceeded 50 million tons and the annual production of waste beer yeast can reaches around 500,000 to 750,000 tons.The mainly comprehensive utilization of waste beer yeast is to use it as the raw material in feed industry.However,after being processed,several useful nutrients in waste beer yeast,including amino acids,vitamins,glutathione and minerals,will be extremely reduced.This article aims at exploring a new way for the further application of waste beer yeast and takes the waste beer yeasts come from a beer factory in Chengdu as raw materials to extract glutathione,which increases its economic value.Taking the waste beer yeast as research raw materials,the article analyzes the optimal model and condition of extracting glutathione through hydrothermal method based on the response surface method in Design-expert 6.0.The results indicate that the optimal conditions for extracting GSH are that the pH is 1.6,temperature is 61.8℃,extraction time is11.4minutes and the ratio of material and hot water is 0.39g/mL.Under this condition,the best yield for the extraction is 7.83mg/g.The relative error between theoretical prediction and experimental value is as low as 0.0008,which confirms that the model developed in this experiment and the optimizations of extraction conditions are reasonable and effective.
机构地区 四川大学
出处 《绿色科技》 2015年第4期330-336,共7页 Journal of Green Science and Technology
关键词 啤酒废酵母 谷胱甘肽 响应面法 最佳 waste beer yeast glutathione response surface method optimal
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