Comparative Analyses of Response Surface Methodology and Artificial Neural Network on Medium Optimization for Tetraselmis sp. FTC209 Grown under Mixotrophic Condition
Joint Authors
Tan, Joo Shun
Mohamed, Mohd Shamzi
Mohammad, Rosfarizan
Mokhtar, Mohd Noriznan
Ariff, Arbakariya Bin
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-09-10
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Mixotrophic metabolism was evaluated as an option to augment the growth and lipid production of marine microalga Tetraselmis sp.
FTC 209.
In this study, a five-level three-factor central composite design (CCD) was implemented in order to enrich the W-30 algal growth medium.
Response surface methodology (RSM) was employed to model the effect of three medium variables, that is, glucose (organic C source), NaNO3 (primary N source), and yeast extract (supplementary N, amino acids, and vitamins) on biomass concentration, Xmax, and lipid yield, Pmax/Xmax.
RSM capability was also weighed against an artificial neural network (ANN) approach for predicting a composition that would result in maximum lipid productivity, Prlipid.
A quadratic regression from RSM and a Levenberg-Marquardt trained ANN network composed of 10 hidden neurons eventually produced comparable results, albeit ANN formulation was observed to yield higher values of response outputs.
Finalized glucose (24.05 g/L), NaNO3 (4.70 g/L), and yeast extract (0.93 g/L) concentration, affected an increase of Xmax to 12.38 g/L and lipid a accumulation of 195.77 mg/g dcw.
This contributed to a lipid productivity of 173.11 mg/L per day in the course of two-week cultivation.
American Psychological Association (APA)
Mohamed, Mohd Shamzi& Tan, Joo Shun& Mohammad, Rosfarizan& Mokhtar, Mohd Noriznan& Ariff, Arbakariya Bin. 2013. Comparative Analyses of Response Surface Methodology and Artificial Neural Network on Medium Optimization for Tetraselmis sp. FTC209 Grown under Mixotrophic Condition. The Scientific World Journal،Vol. 2013, no. 2013, pp.1-14.
https://search.emarefa.net/detail/BIM-1013201
Modern Language Association (MLA)
Mohamed, Mohd Shamzi…[et al.]. Comparative Analyses of Response Surface Methodology and Artificial Neural Network on Medium Optimization for Tetraselmis sp. FTC209 Grown under Mixotrophic Condition. The Scientific World Journal No. 2013 (2013), pp.1-14.
https://search.emarefa.net/detail/BIM-1013201
American Medical Association (AMA)
Mohamed, Mohd Shamzi& Tan, Joo Shun& Mohammad, Rosfarizan& Mokhtar, Mohd Noriznan& Ariff, Arbakariya Bin. Comparative Analyses of Response Surface Methodology and Artificial Neural Network on Medium Optimization for Tetraselmis sp. FTC209 Grown under Mixotrophic Condition. The Scientific World Journal. 2013. Vol. 2013, no. 2013, pp.1-14.
https://search.emarefa.net/detail/BIM-1013201
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1013201