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中国精品科技期刊2020
响应面法优化里氏木霉产木聚糖酶发酵培养基[J]. 食品工业科技, 2013, (11): 119-123. DOI: 10.13386/j.issn1002-0306.2013.11.037
引用本文: 响应面法优化里氏木霉产木聚糖酶发酵培养基[J]. 食品工业科技, 2013, (11): 119-123. DOI: 10.13386/j.issn1002-0306.2013.11.037
Optimization of medium components for xylanase production by Trichoderma reesei using response surface methodology[J]. Science and Technology of Food Industry, 2013, (11): 119-123. DOI: 10.13386/j.issn1002-0306.2013.11.037
Citation: Optimization of medium components for xylanase production by Trichoderma reesei using response surface methodology[J]. Science and Technology of Food Industry, 2013, (11): 119-123. DOI: 10.13386/j.issn1002-0306.2013.11.037

响应面法优化里氏木霉产木聚糖酶发酵培养基

Optimization of medium components for xylanase production by Trichoderma reesei using response surface methodology

  • 摘要: 采用响应面法对里氏木霉产木聚糖酶的发酵培养基进行了优化。首先利用Plackett-Burman实验设计筛选出影响产酶的3个主要因素:乳糖、玉米浆和KH2PO4。在此基础上运用最陡爬坡路径法逼近最大响应值区域,最后利用响应面分析法确定主要因子之间的交互作用及最佳条件。结果表明,乳糖45.13g/L,玉米浆15.94g/L,(NH4)2SO43g/L,KH2PO42.73g/L,MgSO4·7H2O0.8g/L,无水CaCl20.6g/L,吐温-801mL/L时,木聚糖酶最大理论酶活为855.01U/mL。经5次平行实验验证,实际平均酶活与预测酶活相近,比优化之前的酶活提高了24.1%。 

     

    Abstract: The fermentation medium components for xylanase production by Trichoderma reesei was optimized by response surface methodology (RSM) . Firstly, three of the most significant influence factors were screened by the method of Plackett-Burman design as lactose, corn syrup and KH2PO4. The path of steepest ascent was applied to approach the optimal region of the three significant factors. Lastly, the optimal concentration and correlations among three factors were identified by RSM. The optimal fermentation conditions were determined as followed:lactose 45. 13g/L, corn syrup 15. 94g/L, (NH4) 2SO4 3g/L, KH2PO4 2. 73g/L, MgSO4·7H2O 0. 8g/L, CaCl20. 6g/L, Tuween-80 1mL/L. Under these conditons, the maximum theoretic activity of xylanase was 855. 01U/mL. After five parallel verifications, the maximum theoretic value was consistent with mean value of verification test and the xylanase production was increased by 24. 1% compare to that before optimization.

     

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