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Effect of process conditions on bio-oil obtained through continuous hydrothermal liquefaction of Scenedesmus sp. microalgae

Hydrothermal liquefaction of biomass in near-/supercritical water has attracted great attention in recent years. Although this technology seems to be promising for transformation of microalgal biomass, the information on the impact of feedstock and processing variables of continuous hydrothermal liquefaction on the properties of bio-oil provided in previous literature is scarce. Herein, the low-lipid Scenedesmus sp. biomass has been transformed to bio-oils through continuous hydrothermal liquefaction under various process conditions. The influence of temperature and residence time on bio-oil characteristic was discussed based on characterization by FT-IR, GC–MS and gel permeation chromatography. The relative degree of branching of carbon chain of bio-oils components was estimated based on the deconvolution of methyl and methylene FT-IR absorption bands. The presumptive pathways of the reactions have been postulated. Finally, it was found that the parameters of bio-oil may be tailored by adjustment of processing variables, however, possible subsequent/parallel effects must be considered while designing the process.
- Jagiellonian University Poland
- University of Twente Netherlands
- AGH University of Science and Technology Poland
Chemistry(all), UT-Hybrid-D, Chemical composition, Bio-oil, Scenedesmus sp., Microalgae, Chemical Engineering(all), Continuous hydrothermal liquefaction, Analysis
Chemistry(all), UT-Hybrid-D, Chemical composition, Bio-oil, Scenedesmus sp., Microalgae, Chemical Engineering(all), Continuous hydrothermal liquefaction, Analysis
citations 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).61 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%
