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Analysis of Fatty Acid Content and Composition in Microalgae
Published on: October 1, 2013
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Lipid estimation of microalgae via Finite element simulation using voltage discharging technique
Kar Lok Chong1, Mohd Ridzuan Ahmad1
1Department of Control and Mechatronics Engineering, Faculty of Electrical Engineering, Universiti Teknologi Malaysia 81310 Skudai, Johor, Malaysia.
Bioresource Technology
|September 28, 2025
Summary
Microalgae lipids are key for biofuels. A new microfluidic method uses DC voltage to measure single-cell lipid content in Chlorella vulgaris, enabling efficient biofuel production.
Area of Science:
- Biotechnology
- Bioenergy
- Microfluidics
Background:
- Fossil fuel depletion necessitates alternative energy sources.
- Microalgae offer a sustainable solution for biofuel production due to high lipid content.
- Accurate, single-cell lipid quantification is crucial for optimizing microalgae cultivation.
Purpose of the Study:
- To develop a novel microfluidic approach for real-time, single-cell lipid estimation.
- To utilize a DC voltage discharging technique for capacitive measurement of lipid accumulation.
- To establish a correlation between capacitance measurements and lipid content in Chlorella vulgaris.
Main Methods:
- A microfluidic device was designed for single-cell analysis.
- A DC voltage discharging technique was employed for capacitive measurements.
- Numerical simulations (COMSOL Multiphysics®) were used to model capacitance variations with lipid content.
Main Results:
- Simulations showed significant capacitance differences correlating with lipid content.
- A capacitance ratio (0.11–0.44) demonstrated a clear correlation with lipid content (0–50%).
- Polynomial fitting achieved a high coefficient of determination (R² = 0.996), validating the simulation model.
Conclusions:
- The proposed DC voltage discharging technique is a simple, cost-effective, and label-free method for single-cell lipid estimation.
- This method provides a practical platform for advancing microalgae research.
- The technique offers opportunities for scalable bioenergy applications through rapid lipid quantification.

