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<strong>Multiobjective simultaneous optimization of biosurfactant process medium by integrating differential evolution with artificial neural networks</strong>

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Title Statement <strong>Multiobjective simultaneous optimization of biosurfactant process medium by integrating differential evolution with artificial neural networks</strong>
 
Added Entry - Uncontrolled Name J., Satya Eswari; *Corresponding author: Department of Biotechnology, National institute of Technology Raipur, GECT road , Pin: 429010 Phone: +91 9441835892 E-mail: satyaeswarij.bt@nitrr.ac.in
Department of science and technology
 
Uncontrolled Index Term Optimization; Rhamnolipid; Pseudomonas sp.; Response surface methodology; Central composite design; Differential evolution
 
Summary, etc. A method of differential evolution (DE) integrated with artificial neural networks (ANN) is derived for modelling and optimization of a biosurfactant process producing rhamnolipid by <em>Pseudomonas</em> <em>aeruginosa</em>. A central composite rotatable design (CCRD) data is used to develop multiple regression and ANN response surface models in order to integrate them with DE for optimizing the medium compositions. The DE with global search operators explores the search space of the response surface models and finds the optimum medium compositions that maximize the rhamnolipid productivity. A multiobjective simultaneous optimization strategy that integrates ANN model with DE search is found to compromise for biomass concentration and maximize the rhamnolipid activity as 55.9 mg/L (R<sup>2 </sup>= 0.914) with an optimized medium compositions of glucose=24.079; NH<sub>4</sub>NO<sub>3</sub>=3.28; KH<sub>2</sub>PO<sub>4</sub>=0.24; yeast extract=7.95 and MgSO<sub>4</sub>.7H<sub>2</sub>O=2.69. The experimental rhamnolipid activity of 56 mg/L obtained using the optimized medium compositions are close to the predicted rhamnolipid activity. These findings demonstrate that the ANN-DE integrated multi objective optimization strategy is quite effective for simultaneous optimization of biochemical and biotechnological processes.
 
Publication, Distribution, Etc. Indian Journal of Chemical Technology (IJCT)
2016-12-28 10:50:00
 
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http://op.niscair.res.in/index.php/IJCT/article/view/5849
 
Data Source Entry Indian Journal of Chemical Technology (IJCT); ##issue.vol## 23, ##issue.no## 5 (2016): Indian Journal of Chemical Technology
 
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Nonspecific Relationship Entry http://op.niscair.res.in/index.php/IJCT/article/download/5849/14373