Multi-parameter flow cytometry as a tool to monitor heterotrophic microalgal batch fermentations for oil production towards biodiesel
2009
da Silva, Teresa Lopes (Instituto Nacional de Engenharia, Tecnologia e Inovacao (INETI), Lisbon, Portugal), E-mail: [email protected] | Santos, Carla Amarelo (Instituto Nacional de Engenharia, Tecnologia e Inovacao (INETI), Lisbon, Portugal) | Reis, Alberto (Instituto Nacional de Engenharia, Tecnologia e Inovacao (INETI), Lisbon, Portugal)
Multi-parameter flow cytometry was used to monitor cell intrinsic light scatter, viability, and lipid content of Chlorella protothecoides cells grown in shake flasks. Changes in the right angle light scatter (RALS) and forward angle light scatter (FALS) were detected during the microalgal growth, which were attributed to the different microalgal cell cycle stages. The proportion of cells not stained with PI (cells with intact cytoplasmic membrane) was high (greater than 90%) during the microalgal growth, even in the latter stationary phase, suggesting that the microalgal cells built-up storage materials which allowed them to survive under nutrient starvation, maintaining their cytoplasmic membranes intact. A high correlation between the Nile Red fluorescence intensity measured by flow cytometry and total lipid content assayed by the traditional lipid extraction method was found for this microalga, making this method a suitable and quick technique for the screening of microalgal strains for lipid production, optimization of biofuel production bioprocesses, and scale-up studies. The highest oil content (~28% w/w dry cell weight, estimated by flow cytometry) was observed in the latter stationary phase. In addition, C. protothecoides oil also depicted the adequate fatty acid methyl ester composition for biodiesel purposes at this growth phase, suggesting that the microalgal oil produced during the latter stationary phase could be an adequate substitute for diesel fuel. Medium growth optimization for enhancement of microalgal oil production is now in progress, using the multi-parameter approach.
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