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CONVERSION OF BIOMASS UNDER HETEROGENEOUS CATALYST INTO LEVULINIC ESTERS
Abstract
One of the most abundant renewable resources with a great potential as raw materials for production of fuels and bulk chemicals are carbohydrates derived from biomass. Among these, esters levulinates have been widely used as solvents and plasticizers in food industry or as fuels additives for transportation. The direct synthesis of methyl levulinate from fructose over solid superacid SO42?/TiO2-La2O3 catalyst was investigated in this study. The influence of different reaction parameters such as reaction temperature, reaction time and catalyst amount was studied. Synthesized compounds were analyzed by GC?MS/MS. Under the best condition the yield in levulinate esters reach the value of 87.52 %. The experimental data obtained were used to estimate the methyl levulinate yield applying multiple linear regressions and artificial neural networks. A comparison of the data obtained with the two methods showed that the artificial neural network is more suitable to estimate de yield. The results obtained from artificial neural networks were in good agreement with the experimental data indicating that artificial neural networks has a good potential in the methyl levulinate yield prediction.
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