Journal of Environmental Accounting and Management
Oil Extraction from Macrophytes: Effect of Environmental Factors on Efficiency and Oil Quality in Coastal Lagoon
Journal of Environmental Accounting and Management 10(3) (2022) 299--303 | DOI:10.5890/JEAM.2022.09.007
Monia Renzi$^{1,2}$, Tommaso Scirocco$^{3}$, Lucrezia Cilenti$^{3}$, Simone Bastianoni$^{4}$, Antonietta Specchiulli$^{3}$
$^{1}$ Bioscience Research Center, via Aurelia Vecchia 32, 58015, Orbetello, Italy
$^{2}$ Department of Life Science, University of Trieste, via L. Giorgeri 10, 34127 Trieste
$^{3}$ National Research Council---Institute for Biological Resources and Marine Biotechnologies (IRBIM), Via Pola 4, 71010, Lesina
$^{4}$ Department of Environment, earth and physical sciences - University of Siena, Via Aldo Moro 2, 53100, Siena, Italy
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Abstract
Macrophytes represent interesting matrices for oil extraction with biodiesel production purposes, particularly in eutrophic coastal lagoons. This short note reported results on bio-oil extraction efficiency in two different species of macrophytes in a Mediterranean lagoon (Lesina lagoon, south-eastern Italy), by testing effects of different factors (year, season, species of macrophytes) on oil production and oil quality. Extracted total oils values ranged from 0.65 \% (\textit{Chara }spp.) to 2.35 \% (\textit{Chaetomorpha linum}) and a significant difference ($p<0.01$) between the two species was reported in relation to the variability of diene production with seasons. Compared to the available literature, higher oil extraction efficiencies are reported in this paper for the species \textit{C. linum}, mainly due to the pressure optimization before extractions.
Acknowledgments
This research was performed within a research program, Pilot project for the evaluation of the biodiesel production from algal biomass in Lagoons of Lesina (Foggia) and Orbetello (Grosseto), funded by the Italian Ministry of Agriculture and Forestry. We wish to thank the forest wardens' group for their essential help in the sailing and sampling of vegetation.
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