effect of size and distribution of ni nanoparticles on γ-al2o3 in oleic acid hydrodeoxygenation to produce n-alkanes
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ID: 172656
2016
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Abstract
To contribute to the search for an oxygen-free biodiesel from vegetable oil, a process based in the oleic acid hydrodeoxygenation over Ni/γ-Al2O3 catalysts was performed. In this work different wt % of Ni nanoparticles were prepared by wetness impregnation and tested as catalytic phases. Oleic acid was used as a model molecule for biodiesel production due to its high proportion in vegetable oils used in food and agro-industrial processes. A theoretical model to optimize yield of n-C17 was developed using size, distribution, and wt % of Ni nanoparticles (NPs) as additional factors besides operational conditions such as temperature and reaction time. These mathematical models related to response surfaces plots predict a higher yield of n-C17 when physical parameters of Ni NPs are suitable. It can be of particular interest that the model components have a high interaction with operation conditions for the n-C17 yields, with the size, distribution, and wt % of Ni NPs being the most significant. A combination of these factors statistically pointed out those conditions that create a maximum yield of alkanes; these proved to be affordable for producing biodiesel from this catalytic environmental process.
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snchez-crdenas2016catalystseffect
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| Authors | ;Manuel Sánchez-Cárdenas;Jorge Medina-Valtierra;Sathish-Kumar Kamaraj;Rodolfo Rafael Medina Ramírez;Luis Antonio Sánchez-Olmos |
| Journal | journal of essential oil research |
| Year | 2016 |
| DOI |
10.3390/catal6100156
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