Growth of mutant synechococcus SP. PCC 7002: effects of multi-parameters and prediction of growth rate
Understanding of the correlative effects of combined variables on the growth rate of the cyanobacteria is fundamental to the exploitation of cyanobacteria as a biological mechanism to produce biofuels. Cyanobacteria (blue-green algae) are phototrophic microorganisms that offers attractive benefits,...
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my.iium.irep.438202017-11-09T03:19:04Z http://irep.iium.edu.my/43820/ Growth of mutant synechococcus SP. PCC 7002: effects of multi-parameters and prediction of growth rate Mohamed Azmin, Nor Fadhillah Mohamed Sharikh, Atikah Shari, Ummi S. Halmi Azmi, Azlin Suhaida TA329 Engineering mathematics. Engineering analysis TP248.13 Biotechnology Understanding of the correlative effects of combined variables on the growth rate of the cyanobacteria is fundamental to the exploitation of cyanobacteria as a biological mechanism to produce biofuels. Cyanobacteria (blue-green algae) are phototrophic microorganisms that offers attractive benefits, among which is a direct conversion of CO2 to a range of valuable products such as carbon-based biofuels. One model of cyanobacteria species is the cyanobacterium Synechococcus sp. PCC 7002. This paper describes the model developed to investigate the combined impacts of the variables on the growth of the Synechococcus sp. PCC 7002. The variables understudy include the temperature of the media, light intensity, the concentration of NaNO3, and the concentration of the NPK. The data is obtained from a lab scale study in which the Synechococcus sp. PCC 7002 underwent mutagenesis procedures. It is hypotheses that certain combination of the variables plays a key role in determining the growth rate of Synechococcus sp. 7002. The growth rate is determined through the measurement of four response variables, carbohydrate concentration, percentage of CO2 uptake, cell dry weight (CDW), and optical density (OD). A multivariate PCA model was developed which unearths the underlying relationship between the variables. Promising results were yield from the proposed model. Distinctive correlations between the variables were clearly described by the PCA model. Universiti Malaysia Kelantan Publisher 2015 Article REM application/pdf en http://irep.iium.edu.my/43820/1/Growth_mutant_Synechococcus_multiparamters_effect_growth_rate.pdf Mohamed Azmin, Nor Fadhillah and Mohamed Sharikh, Atikah and Shari, Ummi S. Halmi and Azmi, Azlin Suhaida (2015) Growth of mutant synechococcus SP. PCC 7002: effects of multi-parameters and prediction of growth rate. Journal of Tropical Resources and Sustainable Science, 3. pp. 174-179. ISSN 2289-3946 http://www.jtrss.org/index.php |
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TA329 Engineering mathematics. Engineering analysis TP248.13 Biotechnology Mohamed Azmin, Nor Fadhillah Mohamed Sharikh, Atikah Shari, Ummi S. Halmi Azmi, Azlin Suhaida Growth of mutant synechococcus SP. PCC 7002: effects of multi-parameters and prediction of growth rate |
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Understanding of the correlative effects of combined variables on the growth rate of the cyanobacteria is fundamental to the exploitation of cyanobacteria as a biological mechanism to produce biofuels. Cyanobacteria (blue-green algae) are phototrophic microorganisms that offers attractive benefits, among which is a direct conversion of CO2 to a range of valuable products such as carbon-based biofuels. One model of cyanobacteria species is the cyanobacterium Synechococcus sp. PCC 7002. This paper describes the model developed to investigate the combined impacts of the variables on the growth of the Synechococcus sp. PCC 7002. The variables understudy include the temperature of the media, light intensity, the concentration of NaNO3, and the concentration of the NPK. The data is obtained from a lab scale study in which the Synechococcus sp. PCC 7002 underwent mutagenesis procedures. It is hypotheses that certain combination of the variables plays a key role in determining the growth rate of Synechococcus sp. 7002. The growth rate is determined through the measurement of four response variables, carbohydrate concentration, percentage of CO2 uptake, cell dry weight (CDW), and optical density (OD). A multivariate PCA model was developed which unearths the underlying relationship between the variables. Promising results were yield from the proposed model. Distinctive correlations between the variables were clearly described by the PCA model.
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format |
Article |
author |
Mohamed Azmin, Nor Fadhillah Mohamed Sharikh, Atikah Shari, Ummi S. Halmi Azmi, Azlin Suhaida |
author_facet |
Mohamed Azmin, Nor Fadhillah Mohamed Sharikh, Atikah Shari, Ummi S. Halmi Azmi, Azlin Suhaida |
author_sort |
Mohamed Azmin, Nor Fadhillah |
title |
Growth of mutant synechococcus SP. PCC 7002: effects of multi-parameters and prediction of growth rate |
title_short |
Growth of mutant synechococcus SP. PCC 7002: effects of multi-parameters and prediction of growth rate |
title_full |
Growth of mutant synechococcus SP. PCC 7002: effects of multi-parameters and prediction of growth rate |
title_fullStr |
Growth of mutant synechococcus SP. PCC 7002: effects of multi-parameters and prediction of growth rate |
title_full_unstemmed |
Growth of mutant synechococcus SP. PCC 7002: effects of multi-parameters and prediction of growth rate |
title_sort |
growth of mutant synechococcus sp. pcc 7002: effects of multi-parameters and prediction of growth rate |
publisher |
Universiti Malaysia Kelantan Publisher |
publishDate |
2015 |
url |
http://irep.iium.edu.my/43820/1/Growth_mutant_Synechococcus_multiparamters_effect_growth_rate.pdf http://irep.iium.edu.my/43820/ http://www.jtrss.org/index.php |
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