基于模型估算黑曲霉β-半乳糖苷酶在生产乳糖和果糖基半乳糖时的选择性

IF 3.7 3区 生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Luana Zanlorenzi Weber , Clara Luiza de Oliveira Moreira , Nadia Krieger , David Alexander Mitchell
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引用次数: 0

摘要

最近,人们对使用黑曲霉的 β-半乳糖苷酶生产乳糖和果糖基-半乳寡糖作为益生元产生了兴趣。酶解过程的成功取决于酶对这些系统中发生的各种半乳糖基化和水解反应的选择性,但迄今为止用于表达这些选择性的方法并不充分。在目前的工作中,我们展示了一种确定奥氏酵母β-半乳糖苷酶选择性的方法,利用文献数据进行了两个案例研究:(1)从乳糖和果糖的混合物中生产乳糖;(2)从乳糖中生产果糖基-半乳寡糖(fGOS)。在第一个案例研究中,我们证明当使用果糖和乳糖的等摩尔混合物时,该酶生产果糖-半乳寡糖的选择性比生产乳糖的选择性高 4 到 5 倍,但随着初始果糖和乳糖摩尔比的增加,生产乳糖的选择性也会增加。在第二个案例研究中,我们发现与最初的转半乳糖基化产物 fGOS3 相比,该酶对产生 fGOS4 和 fGOS5 的选择性大约高出 1.5 倍。我们在工作中确定的选择性将成为基于时间的模型的重要参数,用于指导乳糖和果糖基-半乳寡糖作为益生元的生产工艺的开发和优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Model-based estimation of selectivities of the β-galactosidase of Aspergillus oryzae in the production of lactulose and fructosyl-galactooligosaccharides

Model-based estimation of selectivities of the β-galactosidase of Aspergillus oryzae in the production of lactulose and fructosyl-galactooligosaccharides

There has been recent interest in using the β-galactosidase of Aspergillus oryzae to produce lactulose and fructosyl-galactooligosaccharides, for use as prebiotics. The success of the enzymatic process depends on the selectivities of the enzyme for the various transgalactosylation and hydrolysis reactions that occur in these systems, but the methods that have been used to date to express these selectivities are not adequate. In the current work, we demonstrate a method for determining the selectivity of the β-galactosidase of A. oryzae in two case studies done with literature data: (1) the production of lactulose from a mixture of lactose and fructose and (2) the production of fructosyl-galactooligosaccharides (fGOS) from lactulose. In the first case study, we demonstrate that the enzyme has a 4- to 5-fold preference for producing GOS over lactulose when an equimolar mixture of fructose to lactose is used, but that the selectivity for producing lactulose increases as the initial fructose to lactose molar ratio increases. In the second case study, we show that the enzyme has about a 1.5-fold preference for producing fGOS4 and fGOS5 over the initial transgalactosylation product, fGOS3. The selectivities that we determine in our work will be important parameters for time-based models used to guide the development and optimization of processes for the production of lactulose and fructosyl-galactooligosaccharides as prebiotics.

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来源期刊
Biochemical Engineering Journal
Biochemical Engineering Journal 工程技术-工程:化工
CiteScore
7.10
自引率
5.10%
发文量
380
审稿时长
34 days
期刊介绍: The Biochemical Engineering Journal aims to promote progress in the crucial chemical engineering aspects of the development of biological processes associated with everything from raw materials preparation to product recovery relevant to industries as diverse as medical/healthcare, industrial biotechnology, and environmental biotechnology. The Journal welcomes full length original research papers, short communications, and review papers* in the following research fields: Biocatalysis (enzyme or microbial) and biotransformations, including immobilized biocatalyst preparation and kinetics Biosensors and Biodevices including biofabrication and novel fuel cell development Bioseparations including scale-up and protein refolding/renaturation Environmental Bioengineering including bioconversion, bioremediation, and microbial fuel cells Bioreactor Systems including characterization, optimization and scale-up Bioresources and Biorefinery Engineering including biomass conversion, biofuels, bioenergy, and optimization Industrial Biotechnology including specialty chemicals, platform chemicals and neutraceuticals Biomaterials and Tissue Engineering including bioartificial organs, cell encapsulation, and controlled release Cell Culture Engineering (plant, animal or insect cells) including viral vectors, monoclonal antibodies, recombinant proteins, vaccines, and secondary metabolites Cell Therapies and Stem Cells including pluripotent, mesenchymal and hematopoietic stem cells; immunotherapies; tissue-specific differentiation; and cryopreservation Metabolic Engineering, Systems and Synthetic Biology including OMICS, bioinformatics, in silico biology, and metabolic flux analysis Protein Engineering including enzyme engineering and directed evolution.
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