Two-stage cultivation of microalga for sustainable biofuel production

This two-stage system comprises an airlift-driven low-tubular photobioreactor for continuous microalgal (strain Scenedesmus sp. GTAF_01 IU) growth and an open raceway pond for stress-induced coordinated lipid accumulation due to nutrient deprivation. A support vector regression (SVR) model was used to develop the predictive model to predict the cell biomass on a dry basis at different culture conditions. A maximum biomass (dry weight) of 1.65 g was achieved at a light intensity of 27 µmol m−2 s−1 photosynthetic photon flux density (PPFD), mixing speed of 150 revolutions per minute, pH 7, and light and dark cycle of 12 h each. The model accuracy was verified by performing experiments at the optimal conditions that resulted in an enhanced biomass (dry weight) of 1.69 g, which was close to the expected one. The results also showed a significant increase in carbohydrate, protein, and lipid content of 27%, 64%, and 47%, respectively. This study provides novel insights into a two-phase cultivation system combining a closed photobioreactor and an open raceway pond for Scenedesmus sp. GTAF_01 IU, resulting in enhanced biomass growth and lipid content. This enhancement supports its potential for sustainable biofuel production within a circular economy framework.

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Publication Details

Journal
Green Chemistry Letters and Reviews
Published
2025-08-25
DOI
https://doi.org/10.1080/17518253.2025.2543909
Citations
1
Primary Topic
Algal biology and biofuel production
Type
article
Field-Weighted Citation Impact
0.36
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Two-stage cultivation of microalga for sustainable biofuel production

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Two-stage cultivation of microalga for sustainable biofuel production

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article en
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Abstract

This two-stage system comprises an airlift-driven low-tubular photobioreactor for continuous microalgal (strain Scenedesmus sp. GTAF_01 IU) growth and an open raceway pond for stress-induced coordinated lipid accumulation due to nutrient deprivation. A support vector regression (SVR) model was used to develop the predictive model to predict the cell biomass on a dry basis at different culture conditions. A maximum biomass (dry weight) of 1.65 g was achieved at a light intensity of 27 µmol m−2 s−1 photosynthetic photon flux density (PPFD), mixing speed of 150 revolutions per minute, pH 7, and light and dark cycle of 12 h each. The model accuracy was verified by performing experiments at the optimal conditions that resulted in an enhanced biomass (dry weight) of 1.69 g, which was close to the expected one. The results also showed a significant increase in carbohydrate, protein, and lipid content of 27%, 64%, and 47%, respectively. This study provides novel insights into a two-phase cultivation system combining a closed photobioreactor and an open raceway pond for Scenedesmus sp. GTAF_01 IU, resulting in enhanced biomass growth and lipid content. This enhancement supports its potential for sustainable biofuel production within a circular economy framework.

Green Chemistry Letters and ReviewsVol. 18(1)
Integral University (IN), University of Agronomic Sciences and Veterinary Medicine of Bucharest (RO), Institute of Medical Sciences (IN), Indian Institute of Technology BHU (IN), Banaras Hindu University (IN)
Openalex Percentile: Top 40%
Algal biology and biofuel production
0.36
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