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Volume 6, Issue 8 (Suppl) J Biotechnol Biomater
ISSN: 2155-952X JBTBM, an open access journal Bio America 2016
November 28-30, 2016
November 28-30, 2016 San Francisco, USA
13th Biotechnology Congress
Optimization of biomass and lipid production from a local Chlorella isolates using response surface
methodology and artificial neural network
Zanenhlanhla Gumbi
University of KwaZulu Natal, South Africa
The exhaustion of the world’s fossil fuel supplies and global warming are driving the search for renewable sources of fuel. Microalgae
have received great interest as an alternative to fossil fuels due to their fast growth rates and high photosynthetic efficiencies. This
study focuses on the optimization of biomass and lipid yield from an indigenous Chlorella isolate using the Response Surface Method.
The input parameters consisted of NaNO3, NaHCO3 and NaCl within the ranges of 0.05-2.0 g/l, 0.5-3.0 g/l and 0-10 mM respectively.
Data from 17 experiments with varied culture conditions was used to develop a polynomial model. Analysis of variance (ANOVA)
of the model gave a coefficient of determination (R2) of 0.72. The predicted optimum conditions for biomass formation were 1.55 g/l
NaNO3, 3.0 NaHCO3 and 0 mMNaCl. The response graphs showing the interaction of NaHCO 3 and NaNO3 on algal growth revealed
that an increase in NaNO3 and NaHCO3 medium concentration enhanced the biomass formation whereas NaCl did not impact on
biomass formation. These findings revealed that under optimal conditions the indigenous Chlorella isolate could be a potential strain
for high biomass formation required for biodiesel production.
Biography
Zanenhlanhla Gumbi has completed her Bachelor of Science degree at the University of KwaZulu Natal and is currently pursuing MSc at the same institution. She
is a Member of the Golden Key Honors Society and her key research interests lie in the fields of microalgal biotechnology and renewable energy.
Zanenhlanhla Gumbi, J Biotechnol Biomater 2016, 6:8(Suppl)