Suppr超能文献

用于优化利用工业废弃底物生产生物表面活性剂的响应面法

Response Surface Methodology for Optimizing the Production of Biosurfactant by on Industrial Waste Substrates.

作者信息

Almeida Darne G, Soares da Silva Rita de Cássia F, Luna Juliana M, Rufino Raquel D, Santos Valdemir A, Sarubbo Leonie A

机构信息

Northeast Biotechnology Network, Federal Rural University of PernambucoRecife, Brazil; Advanced Institute of Technology and InnovationRecife, Brazil.

Advanced Institute of Technology and InnovationRecife, Brazil; Center of Sciences and Technology, Catholic University of PernambucoRecife, Brazil.

出版信息

Front Microbiol. 2017 Feb 7;8:157. doi: 10.3389/fmicb.2017.00157. eCollection 2017.

Abstract

Biosurfactant production optimization by UCP0996 was studied combining central composite rotational design (CCRD) and response surface methodology (RSM). The factors selected for optimization of the culture conditions were sugarcane molasses, corn steep liquor, waste frying oil concentrations and inoculum size. The response variables were surface tension and biosurfactant yield. All factors studied were important within the ranges investigated. The two empirical forecast models developed through RSM were found to be adequate for describing biosurfactant production with regard to surface tension ( = 0.99833) and biosurfactant yield ( = 0.98927) and a very strong, negative, linear correlation was found between the two response variables studied ( = -0.95). The maximum reduction in surface tension and the highest biosurfactant yield were 29.98 mNm and 4.19 gL, respectively, which were simultaneously obtained under the optimum conditions of 2.5% waste frying oil, 2.5%, corn steep liquor, 2.5% molasses, and 2% inoculum size. To validate the efficiency of the statistically optimized variables, biosurfactant production was also carried out in 2 and 50 L bioreactors, with yields of 5.87 and 7.36 gL, respectively. Finally, the biosurfactant was applied in motor oil dispersion, reaching up to 75% dispersion. Results demonstrated that the CCRD was suitable for identifying the optimum production conditions and that the new biosurfactant is a promising dispersant for application in the oil industry.

摘要

采用中心复合旋转设计(CCRD)和响应面法(RSM)相结合的方法,对UCP0996生产生物表面活性剂的工艺进行了优化。用于优化培养条件的因素包括甘蔗废蜜、玉米浆、废煎炸油浓度和接种量。响应变量为表面张力和生物表面活性剂产量。在所研究的范围内,所有因素都很重要。通过RSM建立的两个经验预测模型被发现足以描述生物表面活性剂在表面张力(R² = 0.99833)和生物表面活性剂产量(R² = 0.98927)方面的生产情况,并且在所研究的两个响应变量之间发现了非常强的负线性相关性(R = -0.95)。表面张力的最大降低值和生物表面活性剂的最高产量分别为29.98 mN/m和4.19 g/L,这是在2.5%废煎炸油、2.5%玉米浆、2.5%废蜜和2%接种量的最佳条件下同时获得的。为了验证统计优化变量的效率,还在2 L和50 L生物反应器中进行了生物表面活性剂的生产,产量分别为5.87 g/L和7.36 g/L。最后,将该生物表面活性剂应用于机油分散,分散率高达75%。结果表明,CCRD适用于确定最佳生产条件,并且这种新型生物表面活性剂是一种有前途的分散剂,可应用于石油工业。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1692/5293750/7d2027fb86e4/fmicb-08-00157-g0001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验