纺织学报 ›› 2012, Vol. 33 ›› Issue (7): 24-30.

• 纤维材料 • 上一篇    下一篇

基于响应面分析法的超声波洗涤羽毛纤维工艺条件优化

 赵玉萍1, 张娟1, 郭雅琳2, 赵明1   

    1. 大连工业大学绿色纤维材料应用技术研究所
    2. 辽宁出入境检验检疫局
  • 收稿日期:2011-07-06 修回日期:2011-12-22 出版日期:2012-07-15 发布日期:2012-07-02
  • 通讯作者: 赵玉萍 E-mail:zhaoyp@dlpu.edu.cn

Process optimization of ultrasonic washing of feather fibers based on response surface method

 ZHAO  Yu-Ping1, ZHANG  Juan1, GUO  Ya-Lin2, ZHAO  Ming1   

    1. Green Fiber Application Technology Research Institute, Dalian Polytechnic University
    2. Liaoning Entry-Exit Inspections and Quarantine Bureau
  • Received:2011-07-06 Revised:2011-12-22 Online:2012-07-15 Published:2012-07-02
  • Contact: Yu-ping ZHAO E-mail:zhaoyp@dlpu.edu.cn

摘要: 采用响应面分析法选择洗涤时间、洗涤温度、浴比和酸性蛋白酶用量为自变量,洗净羽毛纤维的嗜温性需氧菌的含量为响应值进行快速优化超声波洗涤羽毛纤维的工艺条件。通过单因素试验、Box-Benhnken中心组合试验和响应面分析法研究各自变量及其交互作用对含菌量的影响,得到二次多项式回归方程的预测模型,并确定超声波洗涤羽毛纤维的最佳工艺条件为:双氧水5mL/L、pH值4.0~6.0、浴比1:40、洗毛时间20min、洗毛温度60℃、酸性蛋白酶用量3%(owf),按此最优工艺条件洗涤羽毛纤维后的含菌量为3.73×103cfu/g。多元回归分析结果显示,洗毛时间、洗毛温度、酸性蛋白酶用量、浴比与嗜温性需氧菌含量之间的回归模型高度显著,实验值与预测值基本相符。因此,响应面分析法优化超声波洗涤羽毛纤维的工艺是可行的。

关键词: 羽毛纤维 , 超声波 , 洗涤 , 响应面分析法 , 优化, 嗜温性需氧菌

Abstract: In this study, optimum condition of ultrasonic wave technology of washing feather fibers is optimized by response surface test. On the basis of single factor test, the dependent variable (mesophilic aerobic bacterial content of feather fibers) and independent variables (washing time, washing temperature, liquor ratio and the dosage of acid protease) were optimized. Each variable and its interaction effects on the mesophilic aerobic bacterial content were analyzed through Box-Benhnken center composite design and response surface methodology, and the mathematical regression equation prediction model was established. The optimum washing conditions as follows: the hydrogen peroxide solution 5mL/L, pH value 4.0~6.0, the washing time 20min, the washing temperature 60℃, liquor ratio 1:40 and the dosage of acid protease 3%(owf).Under these conditions, the content of mesophilic aerobic bacteria of washed feather fibers is 3.73×103cfu/g. By means of multiple regression method, the results show that regression model was highly significant between washing time, washing temperature, the dosage of acid protease, liquor ratio and the content of mesophilic aerobic bacteria. The experiment values were in general agreement with the predicted values and the experiment data under various conditions have validated the theoretical values. Therefore, it is feasible that response surface methodology is adapted to the washing process of feather fibers.

Key words: feather fiber , ultrasonic , washing , response surface method , optimization , mesophilic aerobic bacterial

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