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首页> 外文期刊>BioMed research international >Effect of C/N Ratio and Media Optimization through Response Surface Methodology on Simultaneous Productions of Intra-and Extracellular Inulinase and Invertase from Aspergillus niger ATCC 20611
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Effect of C/N Ratio and Media Optimization through Response Surface Methodology on Simultaneous Productions of Intra-and Extracellular Inulinase and Invertase from Aspergillus niger ATCC 20611

机译:C / N比和响应面法优化培养基对黑曲霉ATCC 20611细胞内和细胞外菊粉酶和转化酶同时产生的影响

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摘要

The study is to identify the extraction of intracellular inulinase (exo- and endoinulinase) and invertase as well as optimization medium composition for maximum productions of intra- and extracellular enzymes from Aspergillus niger ATCC 20611. From two different methods for extraction of intracellular enzymes, ultrasonic method was found more effective. Response surface methodology (RSM) with a five-variable and three-level central composite design (CCD) was employed to optimize the medium composition. The effect of five main reaction parameters including sucrose, yeast extract, NaNO_3, Zn~(+2), and Triton X-100 on the production of enzymes was analyzed. A modified quadratic model was fitted to the data with a coefficient of determination (R2) more than 0.90 for all responses. The intra-extraceEular inulinase and invertase productions increased in the range from 16 to 8.4 times in the optimized medium (10% (w/v) sucrose, 2.5% (w/v) yeast extract, 2% (w/v) NaNO_3, 1.5 mM (v/v) Zn~(+2), and 1% (v/v) Triton X-100) by RSM and from around 1.2 to 1.3 times greater than in the medium optimized by one-factor-at-a-time, respectively. The results of bioprocesses optimization can be useful in the scale-up fermentation and food industry.
机译:该研究旨在鉴定黑曲霉ATCC 20611中胞内菊粉酶(外切和内切菊糖酶)和转化酶的提取以及最适产量的细胞内和细胞外酶的优化培养基组成。采用两种不同的细胞内酶提取方法:超声波方法被发现更有效。采用具有五变量和三级中央复合设计(CCD)的响应面方法(RSM)来优化培养基成分。分析了蔗糖,酵母提取物,NaNO_3,Zn〜(+2)和Triton X-100这五个主要反应参数对酶产生的影响。对于所有响应,将修正的二次模型拟合到数据的确定系数(R2)大于0.90。在优化的培养基(10%(w / v)蔗糖,2.5%(w / v)酵母提取物,2%(w / v)NaNO_3)中,胞外菊粉和蔗糖酶产量增加了16到8.4倍。通过RSM获得1.5 mM(v / v)Zn〜(+2)和1%(v / v)Triton X-100),比通过单因素a优化的培养基大约1.2至1.3倍时间。生物工艺优化的结果可用于大规模发酵和食品工业。

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