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Published in: Biomass Conversion and Biorefinery 2/2024

17-03-2022 | Review Article

Parametric optimization of rice bran-based bi-functional catalyst in the one-pot conversion of indigenous algal biomass into biodiesel using response surface methodology

Authors: Prabhdeep Kaur Brar, Banu Örmeci, Amit Dhir

Published in: Biomass Conversion and Biorefinery | Issue 2/2024

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Abstract

Microalgae biodiesel production has gained much attention in an effort to search for a renewable source of energy. The present study aims to analyze the technical feasibility of microalgae-based biodiesel production through in situ transesterification utilizing bi-functional KOH/rice bran-derived activated heterogeneous carbon catalyst. Primarily, the collected microalgae from the rural pond were cultivated at the lab scale and subsequently, harvested and dried to powdered form. Consequently, the catalyst was synthesized and characterized by sieve test, SEM (scanning electron microscopy), and XRD (X-ray diffraction). Subsequently, statistical regression analysis by central composite design (CCD) has been conducted to correlate with the input parameters of the in situ transesterification process to maximize the biodiesel yield. Reaction time, temperature, solvent and co-solvent to biomass molar ratio, and catalyst to biomass molar ratio were considered as input design variables. A model has been generated to predict the yield where the coefficient of determination was found to be 0.94, which depicts the satisfactory significance of the model. Based on the results, the optimum conditions were 10:1 solvent and co-solvent to biomass molar ratio, 5 wt% catalyst loading at a temperature of 70 °C for 1.5 h time. As a result, the maximum predicted yield was 81.8%. Finally, in situ transesterification process was carried out at predicted optimum conditions and the maximum observed yield was 80.9%, through a prediction error lower than 0.9%.

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Literature
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Metadata
Title
Parametric optimization of rice bran-based bi-functional catalyst in the one-pot conversion of indigenous algal biomass into biodiesel using response surface methodology
Authors
Prabhdeep Kaur Brar
Banu Örmeci
Amit Dhir
Publication date
17-03-2022
Publisher
Springer Berlin Heidelberg
Published in
Biomass Conversion and Biorefinery / Issue 2/2024
Print ISSN: 2190-6815
Electronic ISSN: 2190-6823
DOI
https://doi.org/10.1007/s13399-022-02522-0

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