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基于响应面法的毕赤酵母β-葡萄糖苷酶生产优化。

Response surface methodology based optimization of β-glucosidase production from Pichia pastoris.

机构信息

Department of Biochemical Engineering and Biotechnology, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, 110016, India.

出版信息

Appl Biochem Biotechnol. 2014 Jan;172(1):380-93. doi: 10.1007/s12010-013-0519-1. Epub 2013 Oct 1.

Abstract

The thermotolerant yeast Pichia etchellsii produces multiple cell bound β-glucosidases that can be used for synthesis of important alkyl- and aryl-glucosides. Present work focuses on enhancement of β-glucosidase I (BGLI) production in Pichia pastoris. In the first step, one-factor-at-a-time experimentation was used to investigate the effect of aeration, antifoam addition, casamino acid addition, medium pH, methanol concentration, and mixed feed components on BGLI production. Among these, initial medium pH, methanol concentration, and mixed feed in the induction phase were found to affect BGLI production. A 3.3-fold improvement in β-glucosidase expression was obtained at pH 7.5 as compared to pH 6.0 on induction with 1 % methanol. Addition of sorbitol, a non-repressing substrate, led to further enhancement in β-glucosidase production by 1.4-fold at pH 7.5. These factors were optimized with response surface methodology using Box-Behnken design. Empirical model obtained was used to define the optimum "operating space" for fermentation which was a pH of 7.5, methanol concentration of 1.29 %, and sorbitol concentration of 1.28 %. Interaction of pH and sorbitol had maximum effect leading to the production of 4,400 IU/L. The conditions were validated in a 3-L bioreactor with accumulation of 88 g/L biomass and 2,560 IU/L β-glucosidase activity.

摘要

耐热酵母毕赤酵母(Pichia etchellsii)产生多种细胞结合的β-葡萄糖苷酶,可用于合成重要的烷基和芳基葡萄糖苷。目前的工作重点是提高毕赤酵母(Pichia pastoris)中β-葡萄糖苷酶 I(BGLI)的产量。在第一步中,采用单因素实验研究了通气、消泡剂添加、复合氨基酸添加、培养基初始 pH 值、甲醇浓度和混合进料成分对 BGLI 生产的影响。其中,初始培养基 pH 值、诱导阶段的甲醇浓度和混合进料成分会影响 BGLI 的生产。与 pH6.0 相比,在 1%甲醇诱导下,pH7.5 时β-葡萄糖苷酶表达提高了 3.3 倍。在 pH7.5 时,添加山梨醇(一种非抑制性底物)可使β-葡萄糖苷酶的产量进一步提高 1.4 倍。使用 Box-Behnken 设计的响应面法对这些因素进行了优化。获得的经验模型用于定义发酵的最佳“操作空间”,即 pH7.5、甲醇浓度 1.29%和山梨醇浓度 1.28%。pH 值和山梨醇的相互作用具有最大的影响,导致产生 4400IU/L 的酶活。在 3L 生物反应器中进行了条件验证,积累了 88g/L 生物质和 2560IU/L 的β-葡萄糖苷酶活性。

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