中国农业科学院农业信息研究所 中国农学会
Agricultural Information Institute of CAAS China Association of Agricultural Science Societies
En
Ch
中国农业科学院农业信息研究所 中国农学会 主办

AI检索

订阅

返回顶部
当前位置: 首页 > 文章 > 响应面法优化啤酒酵母泥中β-1,3-葡聚糖提取工艺 食品科学 2012,33 (6) 92-95
Position: Home > Articles > Optimization of Extraction Process for β-1,3-Glucan from Yeast Paste by Response Surface Methodology FOOD SCIENCE 2012,33 (6) 92-95

响应面法优化啤酒酵母泥中β-1,3-葡聚糖提取工艺

作  者：
张桂香;王元秀;宋晓妍;孙纳新;李戎
单  位：
济南大学医学与生命科学学院
关键词：
β-1,3-葡聚糖;啤酒酵母泥;响应面法;提取工艺
摘  要：
为提高啤酒酵母泥中β-1,3-葡聚糖的得率,采用响应面法优化酸碱法提取葡聚糖的工艺条件,对NaOH质量分数、碱提温度、碱提时间3个因素进行单因素试验。根据单因素试验结果,设计中心组合试验,以葡聚糖得率为指标,采用响应面分析法确定最优工艺参数。结果表明:在NaOH溶液质量分数2.05%、92.70℃处理2.50h条件下,β-1,3-葡聚糖得率实测值为15.76%,模型预期值为15.82%,响应面优化法提高了β-1,3-葡聚糖的得率。
译  名：
Optimization of Extraction Process for β-1,3-Glucan from Yeast Paste by Response Surface Methodology
作  者：
ZHANG Gui-xiang,WANG Yuan-xiu,SONG Xiao-yan,SUN Na-xin,LI Rong (College of Medicine and Life Sciences,University of Jinan,Jinan 250022,China)
关键词：
β-1,3-glucan;beer yeast paste;response surface methodology(RSM);extraction process
摘  要：
In order to improve the extraction rate of β-1,3-glucan from yeast paste,response surface methodology was used for the optimization of alkaline extraction conditions.The effects of NaOH concentration,extraction time and extraction temperature on the extraction rate of β-1,3-glucan were explored by single factor tests.Subsequently,a regression model was established using a central composite design.Based on the model,response surface analysis was conducted to explore optimal extraction conditions.The results indicated that the optimal extraction process parameters were NaOH concentration of 2.05%,extraction temperature of 92.70 ℃ and extraction time of 2.50 h.Under these optimal extraction conditions,the extraction rate of β-1,3-glucan was up to 15.76%,which was consistent with the predicted value of 15.82%.Therefore,the extraction rate of β-1,3-glucan were enhanced by response surface methodology.

相似文章

导出引用
计量
文章访问数: 7
HTML全文浏览量: 0
PDF下载量: 0

所属期刊

推荐期刊

友情链接Friendly link
农业信息研究所Agricultural information institute 农业智能知识服务平台Agricultural intelligent knowledge service platform 农业学术服务平台Agricultural Knowledge Service System 中国知网CNKI 维普网VIP 万方WANFANG DATA
联系我们Contact us

电话Tell：010-82109652-808

邮箱E-mail：agrijournal@caas.cn

服务Service
关于我们About us 意见建议Opinions and suggest
版权说明Copyright
单位：中国农业科学院农业信息研究所 中国农学会 © 2017中国农业科学院农业信息研究所 ICP备案号：京ICP备09089781号-46