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Gemma Vicente
Researcher at King Juan Carlos University
Publications - 44
Citations - 4549
Gemma Vicente is an academic researcher from King Juan Carlos University. The author has contributed to research in topics: Biodiesel & Biodiesel production. The author has an hindex of 22, co-authored 43 publications receiving 4116 citations. Previous affiliations of Gemma Vicente include Complutense University of Madrid.
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Integrated biodiesel production: a comparison of different homogeneous catalysts systems.
TL;DR: Although all the transesterification reactions were quite rapid and the biodiesel layers achieved nearly 100% methyl ester concentrations, the reactions using sodium hydroxide turned out the fastest.
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Application of the factorial design of experiments and response surface methodology to optimize biodiesel production
TL;DR: In this paper, the production of fatty acid methyl esters, to be used as a diesel substitute (biodiesel), has been studied, where the reaction of refined sunflower oil and methanol was carried out over different types (acid and basic, homogeneous and heterogeneous) of catalysts.
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Kinetics of Sunflower Oil Methanolysis
TL;DR: In this article, a study was made of the kinetics of sunflower oil methanolysis, which yields methyl esters (biodiesel) and glycerol and consists of three consecutive reversible reactions.
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Biodiesel production from biomass of an oleaginous fungus
Gemma Vicente,L. Fernando Bautista,Rosalía Rodríguez,F. Javier Gutiérrez,Irantzu Sádaba,Rosa M. Ruiz-Vázquez,Santiago Torres-Martínez,Victoriano Garre +7 more
TL;DR: In this article, the authors introduced the filamentous fungus Mucor circinelloides as a potential feedstock for biodiesel production, which showed a high content (>85%) of saponifiable matter and a suitable fatty acid profile.
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Optimisation of integrated biodiesel production. Part I. A study of the biodiesel purity and yield
TL;DR: This study consists of the development and optimisation of the potassium hydroxide-catalysed synthesis of fatty acid methyl esters (biodiesel) from sunflower oil, using second-order models to predict biodiesel purity and yield as a function of temperature, catalyst concentration and methanol:vegetable oil molar ratio.