TY - GEN
T1 - Optimization of microwave drying of microalgae nannochloropsis sp. for biofuel production
AU - Mina, Antonio Rafael
AU - Tecson, Byron
AU - Virtucio, Diane Veronica
AU - Felix, Charles
AU - Ubando, Aristotle
AU - Madrazo, Cynthia
AU - Baldovino, Renann
AU - Culaba, Alvin
AU - Toledo, Nieves
AU - Jimenez, Caridad
AU - Garibay, Soledad
PY - 2017/7/2
Y1 - 2017/7/2
N2 - The increase in demand of power and the depletion of non-renewable sources call for an alternative source of energy. Biodiesel from microalgae is a potential alternative source of energy due to its high lipid content. However, the bulk of the energy requirement to produce biodiesel from microalgae is the drying process. Studies propose that microwave energy may be feasible for the drying process. Thus, this study is aimed to optimize the microwave drying process by means of a design of experiment. A full factorial of two factors each with three levels was selected for the design of experiment. The factors are the mass of the sample and power level of the microwave, and the response of interest was the drying efficiency. Statistical analysis revealed optimum factors setting and the dried biomass product produced under this condition was characterized by Fourier Transform Infrared Spectroscopy and the Gas Chromatograph - Flame Ionization Detector.
AB - The increase in demand of power and the depletion of non-renewable sources call for an alternative source of energy. Biodiesel from microalgae is a potential alternative source of energy due to its high lipid content. However, the bulk of the energy requirement to produce biodiesel from microalgae is the drying process. Studies propose that microwave energy may be feasible for the drying process. Thus, this study is aimed to optimize the microwave drying process by means of a design of experiment. A full factorial of two factors each with three levels was selected for the design of experiment. The factors are the mass of the sample and power level of the microwave, and the response of interest was the drying efficiency. Statistical analysis revealed optimum factors setting and the dried biomass product produced under this condition was characterized by Fourier Transform Infrared Spectroscopy and the Gas Chromatograph - Flame Ionization Detector.
UR - http://www.scopus.com/inward/record.url?scp=85047768983&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85047768983&partnerID=8YFLogxK
U2 - 10.1109/HNICEM.2017.8269459
DO - 10.1109/HNICEM.2017.8269459
M3 - Conference contribution
T3 - HNICEM 2017 - 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management
SP - 1
EP - 5
BT - HNICEM 2017 - 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th IEEE International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2017
Y2 - 29 November 2017 through 1 December 2017
ER -