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用于产琥珀酸埃希氏菌LU1经济生产琥珀酸的培养基优化

Media optimization for economic succinic acid production by Enterobacter sp. LU1.

作者信息

Podleśny Marcin, Kubik-Komar Agnieszka, Kucharska Jagoda, Wyrostek Jakub, Jarocki Piotr, Targoński Zdzisław

机构信息

Department of Biotechnology, Human Nutrition and Food Commodities, University of Life Sciences in Lublin, 8 Skromna, 20-704, Lublin, Poland.

Department of Applied Mathematics and Informatics, University of Life Sciences in Lublin, 28 Głęboka, 20-950, Lublin, Poland.

出版信息

AMB Express. 2017 Dec;7(1):126. doi: 10.1186/s13568-017-0423-0. Epub 2017 Jun 19.

Abstract

Enterobacter sp. LU1 could efficiently convert glycerol to succinic acid under anaerobic conditions after the addition of lactose. In this study, media constituents affecting both Enterobacter sp. LU1 biomass and succinic acid production were investigated employing response surface methodology (RSM) with central composite design. Statistical methods led to the development of an efficient and inexpensive microbiological media based on crude glycerol, whey permeate as carbon sources and urea as a nitrogen source. The optimized production of bacterial biomass in aerobic conditions was predicted and the interactive effects between crude glycerol, urea and magnesium sulfate were investigated. As a result, a model for predicting the concentration of bacterial biocatalyst biomass was developed with crude glycerol as a sole carbon source. In addition, it was observed that the interactive effect between crude glycerol and urea was statistically significant. Response surface methodology was also employed to develop the model for predicting the concentration of succinic acid produced. Validity of the model was confirmed during verification experiments wherein actual results differed from predicted values by 0.77%. The applied statistical methods proved the feasibility for anaerobic succinic acid production on crude glycerol without expensive yeast extract addition. In conclusion, the RSM method can provide valuable information for succinic acid scale-up fermentation using Enterobacter sp. LU1.

摘要

在添加乳糖后,肠杆菌属LU1菌株能够在厌氧条件下有效地将甘油转化为琥珀酸。在本研究中,采用中心复合设计的响应面法(RSM)研究了影响肠杆菌属LU1菌株生物量和琥珀酸产量的培养基成分。统计方法促成了一种基于粗甘油、乳清渗透液作为碳源以及尿素作为氮源的高效且廉价的微生物培养基的开发。预测了好氧条件下细菌生物量的优化产量,并研究了粗甘油、尿素和硫酸镁之间的交互作用。结果,建立了一个以粗甘油作为唯一碳源来预测细菌生物催化剂生物量浓度的模型。此外,观察到粗甘油和尿素之间的交互作用具有统计学意义。还采用响应面法建立了预测所产琥珀酸浓度的模型。在验证实验期间证实了该模型的有效性,其中实际结果与预测值相差0.77%。所应用的统计方法证明了在不添加昂贵酵母提取物的情况下利用粗甘油进行厌氧琥珀酸生产的可行性。总之,响应面法可为利用肠杆菌属LU1菌株进行琥珀酸放大发酵提供有价值的信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0728/5476557/58437de2d7ec/13568_2017_423_Fig1_HTML.jpg

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