Extraction of phytostimulant molecules from Scenedesmus almeriensis using different extractor systems.
Autor: | Navarro-López, Elvira, Gallardo-Rodríguez, Juan José, del Carmen Cerón-García, María, Gallego-López, Inmaculada, Acién-Fernández, Francisco Gabriel, Molina-Grima, Emilio |
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Zdroj: | Journal of Applied Phycology; Apr2023, Vol. 35 Issue 2, p701-711, 11p |
Abstrakt: | There is an increasing demand for bio-based fertilizers and phytostimulants. Microalgae biomass contains a number of compounds that have positive effects on plant growth (for instance, phenolic compounds). Other valuable substances are simultaneously produced in the biomass, enabling a biorefinery approach to be applied. Downstream processing optimization for sustainable economic biostimulant production must involve the use of microalgal wet paste instead of dry biomass. The present study investigated the effect of different parameters, such as the solvent, temperature, and time, on the extraction of biostimulant molecules from Scenedesmus almeriensis microalgal biomass. The extraction process optimization was determined by calculating the germination index in the watercress seed bioassays. Since phenols and other bioactives are extracted together, and purification should be avoided, biological methods are preferred for assessing biostimulation. Water was compared to organic solvents of lower polarity such as acetone, ethanol (96%), and an ethanol:hexane:water (76:18:6 v/v/v) mixture. Different solvent extraction ratios (0.5–8 mL solvent g−1 of dry biomass), temperatures (25–50 ºC), and extraction times (0.5–6 h) were tested, after which the best combination was selected for each solvent. The optimal conditions were obtained with organic green solvents (acetone or ethanol), which resulted in a Germination Index above 120% (at least 20% above the distilled water control). Consequently, from a biorefinery perspective, this process was considered to be the most suitable for microalgal biomass exploitation. [ABSTRACT FROM AUTHOR] |
Databáze: | Complementary Index |
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