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Growth of mutant synechococcus SP. PCC 7002: effects of multi-parameters and prediction of growth rate

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

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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.

Item Type: Article (Journal)
Additional Information: 4051/43820
Uncontrolled Keywords: Principal Component Analysis (PCA), Partial Least Squares (PLS), cyanobacteria, Synechococcus, growth
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA329 Engineering mathematics. Engineering analysis
T Technology > TP Chemical technology > TP248.13 Biotechnology
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Biotechnology Engineering
Depositing User: Dr Nor Fadhillah Mohamed Azmin
Date Deposited: 27 Jul 2015 07:56
Last Modified: 09 Nov 2017 11:19
URI: http://irep.iium.edu.my/id/eprint/43820

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