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复合固态发酵棉粕中盐类物质的优化
引用本文:田永强,刘惠琴,卢燕霞,张阿强,陈锡明. 复合固态发酵棉粕中盐类物质的优化[J]. 微生物学杂志, 2017, 0(2): 35-40
作者姓名:田永强  刘惠琴  卢燕霞  张阿强  陈锡明
作者单位:兰州交通大学 化学与生物工程学院,甘肃 兰州 730070,兰州交通大学 化学与生物工程学院,甘肃 兰州 730070,兰州交通大学 化学与生物工程学院,甘肃 兰州 730070,兰州交通大学 化学与生物工程学院,甘肃 兰州 730070,中国科学院 寒区旱区环境与工程研究所,甘肃 兰州 730000
基金项目:甘肃省科技支撑计划项目(613035)
摘    要:通过Plackett-Burman试验设计方法和DPS v7.05统计软件中的均匀设计方法研究了盐类物质对棉粕发酵底物中游离棉酚降解率的影响。Plackett-Burman试验结果表明只有生物素对降解率的影响是极显著的,其他因素均不显著,进而不能进一步通过Box-Behnken(BBD)实验来验证此试验结果。因此选出对降解率具有正效应的因素利用DPS v7.05统计软件中的均匀设计方法来研究这些因素对降解率的影响。最后得出各个因子的最佳组合:X_1(尿素)1.44%,X_2(柠檬酸三铵)0.20%,X_3(氯化胆碱)0.20%,X_4(磷酸氢二钾)0.34%,X_5(硫酸镁)1.00%,X_6(硫酸铜)1.00%,X_7(硫酸锰)1.00%,X_8(硫酸锌)0.10%。

关 键 词:盐类物质;固态发酵;棉粕;游离棉酚

Optimization of saline material in solid fermentation of cottonseed meal
TIAN Yong-qiang,LIU Hui-qin,LU Yan-xi,ZHANG A-qiang and CHEN Xi-ming. Optimization of saline material in solid fermentation of cottonseed meal[J]. Journal of Microbiology, 2017, 0(2): 35-40
Authors:TIAN Yong-qiang  LIU Hui-qin  LU Yan-xi  ZHANG A-qiang  CHEN Xi-ming
Affiliation:Lan Zhou Jiao Tong University, Chemical and Biological Engineering College, Lan zhou 730070,Lan Zhou Jiao Tong University, Chemical and Biological Engineering College, Lan zhou 730070,Lan Zhou Jiao Tong University, Chemical and Biological Engineering College, Lan zhou 730070,Lan Zhou Jiao Tong University, Chemical and Biological Engineering College, Lan zhou 730070 and Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lan zhou 730000
Abstract:This paper studies the effect of saline material on the degradation rate FG of cottonseed meal fermentation by Plackett-Burman experimental design methods and statistical software DPS v7.05 uniform design method. Plackett-Burman experimental results show that only biotin extremely significant affects degradation rate, other factors are not significant, and thus can not be further tests to verify the results by Box-Behnken (BBD) experiments. To study the impact of these factors on the degradation rate of the selected factors and therefore a positive effect on the degradation rate of the use of statistical software DPS v7.05 uniform design method. Finally, the best combination is obtained for each factor: X1(Urea) 1.44%, X2(Ammonium Citrate) 0.20%, X3(Choline Chloride) 0.20%, X4(Dipotassium Hydrogen Phosphate) 0.34%, X5(Magnesium Sulphate) 1.00%, X6(Copper Sulfate) 1.00%, X7(Manganese Sulfate) 1.00%, X8(Zinc Sulfate) 0.10%.
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