...
【24h】

Optimization of ricotta cheese whey (RCW) fermentation by response surface methodology

机译:响应面法优化意大利乳清干酪乳清(RCW)发酵

获取原文
获取原文并翻译 | 示例
           

摘要

A central composite design (CCD) was performed to evaluate the effects of four factors, i.e. temperature (T), pH, agitation rate (K) and initial lactose concentration (L), on ricotta cheese whey batch fermentation and to optimize the process leading to the formation of bio-ethanol. Anaerobic batch fermentation experiments were carried out by using the yeast Kluyveromyces marxianus. After a preliminary experimental analysis, the values of the chosen factors were 32 and 40°C for T, 4 and 6 for pH, 100 and 300rpm for K, 40 and 80gL~(-1) for L.Response surface methodology (RSM) was used to optimize the fermentation process and an empirical polynomial model was used to fit the experimental data. The best operating conditions resulted to be T=32.35°C, pH 5.41, K=195.56rpm and L=40gL~(-1) and the model ensured a good fitting of the observed data.
机译:进行了中央复合设计(CCD),以评估温度(T),pH,搅拌速率(K)和初始乳糖浓度(L)四个因素对意大利乳清干酪乳清分批发酵的影响,并优化工艺流程形成生物乙醇。使用马克斯克鲁维酵母菌进行厌氧分批发酵实验。经过初步的实验分析,所选因子的T值分别为32和40°C,pH值为4和6,K分别为100和300rpm,L为40和80gL〜(-1)。响应表面方法(RSM)用于优化发酵过程,并使用经验多项式模型来拟合实验数据。最佳操作条件为T = 32.35°C,pH 5.41,K = 195.56rpm和L = 40gL〜(-1),该模型确保了所观察数据的良好拟合。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号