Saengsawang, Boonyawee and Bhuyar, P. and Manmai, Numchok and Ponnusamy, Vinoth Kumar and Ramaraj, Rameshprabu and Unpaprom, Yuwalee (2020) The optimization of oil extraction from macroalgae, Rhizoclonium sp. by chemical methods for efficient conversion into biodiesel. Fuel, 274 (117841). pp. 1-7. ISSN 0016-2361. (Published)
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Abstract
Optimization of biodiesel production from freshwater macroalgae, Rhizoclonium sp. was investigated in this study. Biodiesel production process parameters such as chemical solvent extraction, hexane:ether and different extraction techniques were optimized by using the response surface methodology based on the central composite design. Optimization of the transesterification process was conducted by varying two factors each at three different levels and this required a total of thirteen runs. A quadratic model was created to predict the biodiesel yield where the R2 value was found to be 0.97, which indicates the satisfactory accuracy of the model. Based on the results, the optimum process parameters for transesterification of the macroalgae Rhizoclonium sp. oil mixture at an agitation speed of 300 rpm over a period of 180 min was found to be a hexane:ether molar ratio 1:1(40 mL), NaOH catalyst concentration of 1 wt% and reaction temperature of 45 °C. Finally, a process optimization found highest macroalgae oil by simple treatment was 0.376 ± 0.14 g and ultrasonic treatment was 6.044 ± 0.81 g is the highest of biodiesel weight. For transesterification reaction from macroalgae oil, a triglyceride was mixed with 0.25 g methanol converted to biodiesel into methyl esters. The biodiesel weight 0.174 ± 0.034 g and 82.2% of the total fatty acid methyl esters (FAME) were confirmed from gas chromatography (GC) analysis. The biodiesel properties were characterized and the results obtained. Design-Expert Version 11 was used to draw both 3D surface plots and 2D contour plots to predict the optimum biodiesel yield.
| Item Type: | Article |
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| Uncontrolled Keywords: | Rhizoclonium sp.; Transesterification; FAME; Response surface methodology (RSM) |
| Subjects: | Q Science > QR Microbiology |
| Faculty/Division: | Faculty of Industrial Sciences And Technology Institute of Postgraduate Studies |
| Depositing User: | Noorul Farina Arifin |
| Date Deposited: | 14 May 2020 04:49 |
| Last Modified: | 15 May 2020 07:32 |
| URI: | http://umpir.ump.edu.my/id/eprint/28311 |
| Download Statistic: | View Download Statistics |
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