Potential of Ripe Plantain Fruit Peels as an Ecofriendly Catalyst for Biodiesel Synthesis

dc.contributor.authorAnietie. O, ETIM
dc.contributor.authorEriola, BETIKU
dc.contributor.authorSheriff. O, AJALA
dc.contributor.authorPeter. J, OLANIYI
dc.contributor.authorTunde. V, OJUMU
dc.date.accessioned2020-01-15T10:48:23Z
dc.date.available2020-01-15T10:48:23Z
dc.date.issued2018-02-05
dc.descriptionInternational journal of MDPI, p.1-15en_US
dc.description.abstractThe present work was aimed at assessing the possible use of ripe plantain fruit peel as a green-base catalyst in synthesizing Azadirachta indica oil methyl esters (AIOME). The free fatty acid content of the oil (5.81 wt %) was initially reduced to 0.90 wt % using methanol: oil at 2.19 v/v, Fe2(SO4)3 at 6 wt %, time of 15 min and temperature of 65 C. The pretreated oil was converted to AIOME in a transesterification process with calcined ripe plantain peel ash (CRPPA) at 700 C as catalyst. The process was modeled by artificial neural network and optimized using genetic algorithm. The effectiveness of the developed CRPPA is ascribable to its high K content and microstructural transformation. The reliability of the model obtained was confirmed with a high coefficient of determination (R2) of 0.996 and a low mean relative percentage deviation (MRPD) of 8.10%. The best operating variables combination for the process was methanol:oil of 0.73 v/v, CRPPA of 0.65 wt % and time of 57 min while the temperature was kept constant at 65 C with a corresponding AIOME yield of 99.2 wt %. The results of this work demonstrated the potentials of ripe plantain peels and neem oil as cheap feedstocks for biodiesel productionen_US
dc.identifier.urihttps://ir.oauife.edu.ng/handle/123456789/5043
dc.language.isoenen_US
dc.publisherMDPIen_US
dc.subjectbiodieselen_US
dc.subjectartificial neural networken_US
dc.subjectheterogeneous catalysten_US
dc.subjectmodelingen_US
dc.subjectoptimizationen_US
dc.subjecttransesterificationen_US
dc.titlePotential of Ripe Plantain Fruit Peels as an Ecofriendly Catalyst for Biodiesel Synthesisen_US
dc.title.alternativeOptimization by Artificial Neural Network Integrated with Genetic Algorithmen_US
dc.typeJournalen_US
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