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运用响应面法优化生物表面活性剂的生产。

Optimization of biosurfactant production by using response surface methodology.

作者信息

Mouafi Foukia E, Abo Elsoud Mostafa M, Moharam Maysa E

机构信息

Microbial Biotechnology Department, Genetic Engineering and Biotechnology Division, National Research Centre, Dokki, Giza, Egypt.

Microbial Chemistry Department, Genetic Engineering and Biotechnology Division, National Research Centre, Dokki, Giza, Egypt.

出版信息

Biotechnol Rep (Amst). 2016 Jan 8;9:31-37. doi: 10.1016/j.btre.2015.12.003. eCollection 2016 Mar.

Abstract

The present study aims to evaluate and validate a statistical model for maximizing biosurfactant productivity by using response surface methodology. In this respect, twenty bacterial isolates were screened for biosurfactant production using hemolytic activity, oil spreading technique, and emulsification index (E24). The most potent biosurfactant-producing bacterium () was used for construction of the statistical response surface model. The optimum conditions for biosurfactant production by were: 33 °C incubation temperature at pH 8 for 10 days incubation period and 8.5 g/L glucose concentration as a sole carbon source. The produced biosurfactant (BS) (73%) exhibited foaming activity, thermal stability in the range 30-80 °C for 30 min., pH stability, from 4 to 9 and antimicrobial activity against (). The BS gave a good potential application as an emulsifier.

摘要

本研究旨在通过响应面法评估和验证一个用于最大化生物表面活性剂产量的统计模型。在这方面,使用溶血活性、油扩散技术和乳化指数(E24)对20株细菌分离株进行了生物表面活性剂生产筛选。最具潜力的生物表面活性剂生产细菌()被用于构建统计响应面模型。该细菌生产生物表面活性剂的最佳条件为:培养温度33℃、pH值8、培养期10天以及8.5g/L葡萄糖浓度作为唯一碳源。所产生的生物表面活性剂(BS)(73%)表现出泡沫活性、在30 - 80℃范围内30分钟的热稳定性、pH值4至9的稳定性以及对()的抗菌活性。该生物表面活性剂作为乳化剂具有良好的潜在应用价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f1e3/5360978/493c5ad52dd8/gr1.jpg

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