صورة الغلاف

Comparative analyses of response surface methodology and artificial neural network on medium optimization for Tetraselmis sp. FTC209 grown under mixotrophic condition

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 methodol...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Mohamed, Mohd Shamzi, Tan, Joo Shun, Mohamad, Rosfarizan, Mokhtar, Mohd Noriznan, Ariff, Arbakariya
التنسيق: مقال
اللغة:English
منشور في: Hindawi Publishing Corporation 2013
الوصول للمادة أونلاين:http://psasir.upm.edu.my/id/eprint/28100/1/948940.pdf
الوسوم: إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
id oai:psasir.upm.edu.my:28100
record_format eprints
spelling oai:psasir.upm.edu.my:28100 http://psasir.upm.edu.my/id/eprint/28100/ Comparative analyses of response surface methodology and artificial neural network on medium optimization for Tetraselmis sp. FTC209 grown under mixotrophic condition Mohamed, Mohd Shamzi Tan, Joo Shun Mohamad, Rosfarizan Mokhtar, Mohd Noriznan Ariff, Arbakariya 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), NaNO(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), NaNO(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. Hindawi Publishing Corporation 2013 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/28100/1/948940.pdf Mohamed, Mohd Shamzi and Tan, Joo Shun and Mohamad, Rosfarizan and Mokhtar, Mohd Noriznan and Ariff, Arbakariya (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, 2013. art. no. 948940. pp. 1-14. ISSN 2356-6140; ESSN: 1537-744X http://www.hindawi.com/journals/tswj/2013/948940/abs/ 10.1155/2013/948940
institution UPM IR
collection UPM IR
language English
description 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), NaNO(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), NaNO(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.
format Article
author Mohamed, Mohd Shamzi
Tan, Joo Shun
Mohamad, Rosfarizan
Mokhtar, Mohd Noriznan
Ariff, Arbakariya
spellingShingle Mohamed, Mohd Shamzi
Tan, Joo Shun
Mohamad, Rosfarizan
Mokhtar, Mohd Noriznan
Ariff, Arbakariya
Comparative analyses of response surface methodology and artificial neural network on medium optimization for Tetraselmis sp. FTC209 grown under mixotrophic condition
author_facet Mohamed, Mohd Shamzi
Tan, Joo Shun
Mohamad, Rosfarizan
Mokhtar, Mohd Noriznan
Ariff, Arbakariya
author_sort Mohamed, Mohd Shamzi
title Comparative analyses of response surface methodology and artificial neural network on medium optimization for Tetraselmis sp. FTC209 grown under mixotrophic condition
title_short Comparative analyses of response surface methodology and artificial neural network on medium optimization for Tetraselmis sp. FTC209 grown under mixotrophic condition
title_full Comparative analyses of response surface methodology and artificial neural network on medium optimization for Tetraselmis sp. FTC209 grown under mixotrophic condition
title_fullStr Comparative analyses of response surface methodology and artificial neural network on medium optimization for Tetraselmis sp. FTC209 grown under mixotrophic condition
title_full_unstemmed Comparative analyses of response surface methodology and artificial neural network on medium optimization for Tetraselmis sp. FTC209 grown under mixotrophic condition
title_sort comparative analyses of response surface methodology and artificial neural network on medium optimization for tetraselmis sp. ftc209 grown under mixotrophic condition
publisher Hindawi Publishing Corporation
publishDate 2013
url http://psasir.upm.edu.my/id/eprint/28100/1/948940.pdf
_version_ 1819295097264537600
score 13.4562235

مواد مشابهة