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Optimization of biodiesel production from a calcium methoxide catalyst using a statistical model

  • Catalysis, Reaction Engineering
  • Published:
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Abstract

Calcium methoxide catalyst was synthesized from quick lime and methanol, and further characterized using scanning electron microscopy (SEM), X-ray diffraction (XRD), attenuated total reflection Fourier transform infrared spectroscopy (ATR-FTIR), and energy dispersive X-ray spectroscopy (EDX). Response surface methodology (RSM) with a 5-level-3-factor central composite was applied for the calcium methoxide catalyzed transesterification of refined palm oil to investigate the effect of experimental factors on the methyl ester yield. A quadratic model with an analysis of variance (ANOVA) obtained from RSM is suggested for the prediction of methyl ester yield, and reveals that 95.99% of the observed variation is explained by the model. The optimum conditions obtained from RSM were 2.71 wt% of catalyst concentration, 11.5: 1 methanol-to-oil molar ratio, and 175 min of reaction time. Under these conditions, the produced biodiesel met the standard requirements for methyl ester yield.

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Authors and Affiliations

  1. Department of Chemistry, Faculty of Science, Kasetsart University, Bangkok, 10900, Thailand

    Warakom Suwanthai & Vittaya Punsuvon

  2. Center of Excellence-Oil Palm, Kasetsart University, Bangkok, 10900, Thailand

    Vittaya Punsuvon

  3. Kasetsart Agricultural and Agro-Industrial Product Improvement Institute, Kasetsart University, Bangkok, 10900, Thailand

    Pilanee Vaithanomsat

Authors
  1. Warakom Suwanthai
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  2. Vittaya Punsuvon
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  3. Pilanee Vaithanomsat
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Correspondence to Vittaya Punsuvon.

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Suwanthai, W., Punsuvon, V. & Vaithanomsat, P. Optimization of biodiesel production from a calcium methoxide catalyst using a statistical model. Korean J. Chem. Eng. 33, 90–98 (2016). https://doi.org/10.1007/s11814-015-0096-9

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  • DOI: https://doi.org/10.1007/s11814-015-0096-9

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