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红平红球菌ATCC 4277对合成油进行生物脱硫的动力学模型评估

An Evaluation of Kinetic Models in the Biodesulfurization of Synthetic Oil by Rhodococcus erythropolis ATCC 4277.

作者信息

Maass D, Mayer D A, Moritz D E, Oliveira D, de Souza A A Ulson, Souza S M A Guelli

机构信息

Laboratório de Simulação Numérica de Sistemas Químicos, Departamento de Engenharia Química e Engenharia de Alimentos, Universidade Federal de Santa Catarina, PO Box 476, 88040-900, Florianópolis, SC, Brazil.

出版信息

Appl Biochem Biotechnol. 2015 Oct;177(3):759-70. doi: 10.1007/s12010-015-1764-2. Epub 2015 Jul 23.

Abstract

Biodesulfurization is an eco-friendly technology applied in the removal of sulfur from fossil fuels. This technology is based on the use of microorganisms as biocatalysts to convert the recalcitrant sulfur compounds into others easily treatable, as sulfides. Despite it has been studied during the last decades, there are some unsolved questions, as per example the kinetic model which appropriately describes the biodesulfurization globally. In this work, different kinetic models were tested to a batch desulfurization process using dibenzothiophene (DBT) as a model compound, n-dodecane as organic solvent, and Rhodococcus erythropolis ATCC 4277 as biocatalyst. The models were solved by ODE45 function in the MATLAB. Monod model was capable to describe the biodesulfurization process predicting all experimental data with a very good fitting. The coefficients of determination achieved to organic phase concentrations of 20, 80, and 100 % (v/v) were 0.988, 0.995, and 0.990, respectively. R. erythropolis ATCC 4277 presented a good affinity with the substrate (DBT) since the coefficients of saturation obtained to reaction medium containing 20, 80, and 100 % (v/v) were 0.034, 0.07, and 0.116, respectively. This kinetic evaluation provides an improvement in the development of biodesulfurization technology because it showed that a simple model is capable to describe the throughout process.

摘要

生物脱硫是一种应用于从化石燃料中去除硫的环保技术。该技术基于利用微生物作为生物催化剂,将难处理的硫化合物转化为其他易于处理的物质,如硫化物。尽管在过去几十年中对其进行了研究,但仍存在一些未解决的问题,例如能全面恰当描述生物脱硫的动力学模型。在这项工作中,针对以二苯并噻吩(DBT)为模型化合物、正十二烷为有机溶剂、红平红球菌ATCC 4277为生物催化剂的间歇脱硫过程,测试了不同的动力学模型。这些模型通过MATLAB中的ODE45函数求解。莫诺德模型能够很好地描述生物脱硫过程,对所有实验数据的预测拟合度都很高。对于有机相浓度为20%、80%和100%(v/v)时所得到的决定系数分别为0.988、0.995和0.990。红平红球菌ATCC 4277对底物(DBT)表现出良好的亲和力,因为对于含有20%、80%和100%(v/v)的反应介质所得到的饱和系数分别为0.034、0.07和0.116。这种动力学评估为生物脱硫技术的发展提供了改进,因为它表明一个简单的模型就能描述整个过程。

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