Downloads provided by UsageCounts
handle: 10261/194155
Solvent selection is a key factor in the development of processes for the extraction of bioactive compounds from natural sources such as algae. The aim of this work was the use of bio-based solvents for the selective extraction of fucoxanthin from P. tricornutum, using pressurized technologies. In this regards, the application of Hansen solubility approach reduced the list of candidate solvents for pressurized liquid extraction (PLE) to four: ethyl acetate, ethyl lactate, d-limonene and ethanol. The use of theoretical calculations narrowed the search of suitable solvents, thus making the process greener. Among the bio-based solvents proposed, d-limonene was the most selective, although it was not able to recover all the fucoxanthin present in the biomass unless a continuous extraction aided by supercritical CO2 was used. The other three solvents tested showed good recoveries of fucoxanthin, but were less selective, following the decreasing order: ethyl acetate > ethyl lactate > ethanol.
This work was supported by EU MIRACLES project (7th Framework Program − Grant Agreement No. 613588). This work was also funded by MINECO (Ministerio de Economía y Competitividad) of Spain, project ref. AGL2014-53609-P. A.P.S.C. thanks to the Administrative Department of Science, Technology and Innovation COLCIENCIAS (568-2012,Colombia) for her PhD Scholarship. B.G.L. thanks MINECO for her Juan de la Cierva postdoctoral research contract (ref. JCI-2012-12972).
Peer reviewed
Pressurized fluid extraction, Bio-based solvents, Fucoxanthin, Green process, Hansen solubility parameters, D-limonene
Pressurized fluid extraction, Bio-based solvents, Fucoxanthin, Green process, Hansen solubility parameters, D-limonene
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 75 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
| views | 53 | |
| downloads | 30 |

Views provided by UsageCounts
Downloads provided by UsageCounts