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A combined artificial neural network modeling–particle swarm optimization strategy for improved production of marine bacterial lipopeptide from food waste

Paper ID Volume ID Publish Year Pages File Format Full-Text
3242 160 2014 7 PDF Available
Title
A combined artificial neural network modeling–particle swarm optimization strategy for improved production of marine bacterial lipopeptide from food waste
Abstract

•The combined ANN–PSO strategy leads to the lipopeptide yield of 6.58 ± 0.32 g L−1.•ANN–PSO approach resulted in the enhancement of lipopeptide production by 46% (w/v).•With NPW, the operating cost decreased 20 times when compared with synthetic medium.

In the present study, an artificial neural network (ANN) modeling coupled with particle swarm optimization (PSO) algorithm was used to optimize the process variables for enhanced lipopeptide production by marine Bacillus megaterium, using food waste. In the non-linear ANN model, temperature, pH, agitation and aeration were used as input variables and lipopeptide concentration as the output variable. Further, on application of PSO to the ANN model, the optimum values of the process parameters were as follows: pH = 6.7, temperature = 33.3 °C, agitation rate = 458 rpm and aeration rate = 128 L h−1. Significant enhancement of lipopeptide production from waste by about 46% (w/v) with 20 times reduction in operating cost compared to the conventional synthetic medium was achieved under optimum conditions. Thus, the novelty of the work lies in the application of combination of ANN–PSO as optimization strategy to enhance the yield of a fermentative product like lipopeptide biosurfactant from waste.

Keywords
Marine bacterial lipopeptide; Fermentation; Bioprocess design; Modeling; Optimization; Waste utilization
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A combined artificial neural network modeling–particle swarm optimization strategy for improved production of marine bacterial lipopeptide from food waste
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Publisher
Database: Elsevier - ScienceDirect
Journal: Biochemical Engineering Journal - Volume 84, 15 March 2014, Pages 59–65
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us