Production of Biodiesel Based on the Bioremediative Potential of Algae on Industrial Effluents
S. Karthik Sundaram
, Menaka Rangasamy
Microalgae, Bioremediation, Biodiesel, Chemical oxygen demand reduction, Decolourization, Response surface methodology.
The present study is aimed to check the bioremediative potential of microalga on industrial effluent with potential application on enhancement of lipid content for production of biodiesel. Isolation and identification of microalga from domestic pond, which is treated with textile effluent. The process optimization study using response surface methodology (RSM) with central composite design (CCD) to optimize the factors for textile effluent degradation by microalga where in pH, inoculum concentration and dilution factor were used as independent variables and decolourization, chemical oxygen demand (COD) reduction as dependent variables (response). Characteristics of untreated textile effluent were found to be highly pollution in comparison to TNPCB permissible limits. The maximum decolorization and COD reduction efficiency of Oedogonium hatei were found to be 95.16% and 90.74% respectively in the optimized condition of pH-6, inoculum concentration-1% and dilution factor-60% within 7 days. About 650mg of algal biomass was harvested from the optimized condition and it was utilized for biodiesel production. From this biomass 12.307% of lipid was extracted which was transesterified into 91.25% of biodiesel. Hence, it was concluded that Oedogonium hatei can be potentially applicable for the bioremediation and biodiesel production in the future with less manufacturing process & less cost effective.
"Production of Biodiesel Based on the Bioremediative Potential of Algae on Industrial Effluents", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.6, Issue 6, page no.133 - 144, June-2021, Available :https://ijsdr.org/papers/IJSDR2106020.pdf
Volume 6
Issue 6,
June-2021
Pages : 133 - 144
Paper Reg. ID: IJSDR_193302
Published Paper Id: IJSDR2106020
Downloads: 000347183
Research Area: Biological Science
Country: Coimbatore, Tamilnadu, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave