A differential evolution approach to estimate parameters in a temperature-dependent kinetic model for second generation ethanol production under high cell density with Spathaspora passalidarum

被引：14

作者：

Biazi, L. E. ^{[1
]}

Martinez-Jimenez, F. D. ^{[1
,2
]}

Bonan, C. I. D. G. ^{[1
]}

Soares, L. B. ^{[3
]}

Morais, E. R. ^{[2
]}

Ienczak, J. L. ^{[3
]}

Costa, A. C. ^{[1
]}

机构：

[1] Univ Estadual Campinas, UNICAMP, Fac Chem Engn, Av Albert Einstein 500, BR-13083852 Campinas, SP, Brazil

[2] Brazilian Biorenewables Natl Lab LNBR, Rua Giuseppe Maximo Scolfaro 10-000, BR-13083970 Campinas, SP, Brazil

[3] Santa Catarina Fed Univ, Chem Engn & Food Engn Dept, BR-88040900 Florianopolis, SC, Brazil

来源：

BIOCHEMICAL ENGINEERING JOURNAL | 2020年 / 161卷

基金：

巴西圣保罗研究基金会;

关键词：

Kinetic parameter estimation; Global optimization process; Xylose; Non-conventional yeast; !text type='Python']Python[!/text; SCHEFFERSOMYCES-STIPITIS; SUGARCANE BAGASSE; FERMENTATION; XYLOSE; OPTIMIZATION; GLUCOSE; GROWTH; HYDROLYZATE; HYDROLYSATE; VALIDATION;

D O I：

10.1016/j.bej.2020.107586

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

An unstructured-unsegregated temperature-dependent kinetic model was developed and validated to describe ethanol fermentation in a mixture of xylose and glucose for the nonconventional yeast Spathaspora passalidarum NRRL Y-27907 under high cell density in the temperature range of 26-32 degrees C. The kinetic model consisted of 13 equations and 16 kinetic parameters, describing cell growth, individual xylose and glucose uptake and product formation. Global parametric estimation was executed through a differential evolution algorithm. Temperature-dependent parameters were identified and adjusted to Arrhenius-type equations as a function of temperature. The overall r(2) of the process calibration and validation were 0.972 and 0.959, respectively, indicating that the model satisfactorily described the process in the temperature range investigated. Furthermore, using a 3D projection of the model to simulate ethanol production, it was concluded that temperatures between 30 and 32 degrees C resulted in the highest productivities.

引用

页数：12

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