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投稿时间:2019-12-30
投稿时间:2019-12-30
中文摘要: 为合理利用精酿啤酒糟和蓝莓果渣的生产废弃物,采用普通高温放线菌、白地霉和植物乳杆菌的混合菌种经过两次不同发酵生产饲料蛋白,探讨发酵时间、菌种比、精酿啤酒糟和蓝莓渣的比值及混合量、麸皮量和菌种接种量对产物真蛋白含量的影响,通过Plackett-Burman和Box-Behnken试验设计及响应面分析,结果确定出最优发酵工艺条件为:精酿啤酒糟和蓝莓渣的质量比为1.42∶1,精酿啤酒糟和蓝莓渣的混合量是87.66%,麸皮量为9.9%,白地霉和植物乳杆菌的质量比为4∶1,最佳接种量为5%时,真蛋白含量可达40.15%;并得到产物真蛋白含量与各因素之间的二次多项式模型,通过试验结果对模型进行验证,实际值与理论值非常接近,模型可靠性高,可较好预测发酵工艺条件。
Abstract:The feed protein was produced by two different fermentations of Thermoactinomyces vulgaris,Geotrichum candidum and Lactobacillus plantarum in order to make rational use of the production waste of craft beer's grains and blueberry residue,the effects of fermentation time,strain ratio,the ratio and mixing amount of craft beer's grains to blueberry residue,the amount of gluten and inoculum on the the content of the product's true protein were studied.By Plackett-Burman and Box-Behnken design and response surface analysis,the results showed that the optimum fermentation conditions were as follows:the ratio of craft beer's grains to blueberry residue was 1.42 ∶1(mass ratio),the mixing amount of craft beer's grains and blueberry residue was 87.66%,and the amount of bran was 9.9%.The mass ratio of Trichoderma albicans to Lactobacillus plantarum was 4 ∶1,and the true protein content could reach 40.15% when the optimum inoculation amount of bacteria was 5%.The quadratic polynomial model between the true protein content of the product and each factor was obtained.The model was verified by the experimental results.The actual value was very close to the theoretical value.The model had high reliability and could predict the fermentation conditions.
keywords: craft beer's grains blueberry residue Plackett-Burman design response surface analysis mixed fermentation feed protein
文章编号:202023027 中图分类号: 文献标志码:
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