Manuscript Title:

COMPUTATIONAL OPTIMIZATION OF BIODIESEL SYNTHESIS FROM ALBIZIA LEBBECK SEEDS BY ACCELERATED REACTIVE EXTRACTION

Author:

FAISAL SHAHZAD, SAJIDA NOUREEN, IJAZ UL HAQ, MUHAMMAD ARIF IBRAHIM, MUHAMMAD ASGHAR SHAHID, MUHAMMAD ARSHAD JAVED

DOI Number:

570212

Published : 2024-02-10

About the author(s)

1. FAISAL SHAHZAD - Institute of Chemistry, The Islamia University of Bahawalpur, Bahawalpur 63100, Pakistan.
2. SAJIDA NOUREEN - Institute of Chemistry, The Islamia University of Bahawalpur, Bahawalpur 63100, Pakistan.
3. IJAZ UL HAQ - Institute of Chemistry, The Islamia University of Bahawalpur, Bahawalpur 63100, Pakistan.
4. MUHAMMAD ARIF IBRAHIM - Department of Agronomy, The Islamia University of Bahawalpur, 63100, Pakistan.
5. MUHAMMAD ASGHAR SHAHID - Department of Agronomy, The Islamia University of Bahawalpur, 63100, Pakistan.
6. MUHAMMAD ARSHAD JAVED - Department of Plant Breeding and Genetics, Faculty of Agricultural Sciences, University of The Punjab, Lahore, Pakistan.

Full Text : PDF

Abstract

Biodiesel is a renewable, alternative green fuel from sources such as vegetable oils and animal fats. In the present study, Albizia lebbeck (Albizia) seeds were used as a, low cost, non-edible feedstock for biodiesel production. This study aimed to employ the Accelerated reactive extraction (solvent-assisted in situ transesterification) approach for biodiesel synthesis, which involves simultaneous solvent extraction and transesterification in single step. In current study, dichloromethane (DCM) was used as a co-solvent to increase the miscibility of oil in methanol because methanol is a poor solvent for triglycerides, leading to an increase in biodiesel yield and faster completion of the reaction. Our results demonstrate that this method is a simple and rapid method for biodiesel production. Therefore, this approach can make biodiesel synthesis economically viable, involving fewer processing steps. A statistical optimization technique based on the Box-Behnken design (BBD) of response surface methodology (RSM) was employed to achieve the maximum product yield by optimizing process parameters such as reaction time, temperature, molar ratio (methanol to seed), and catalyst amount. The results of optimization revealed that 300 minutes, 70 °C, 21:1 and 3.5% wt. of conc. H2SO4 were optimized process parameters under which about 98% biodiesel yield could be achieved. The analysis of variance results showed that reaction time, temperature, Catalyst concentration, interaction of temperature-time and time-molar ratio were the most significant parameters. Gas chromatography (GC-FID) results indicated that the major fatty acids in ALO were Linoleic acid (42%) and oleic acid (27%).


Keywords

Albizia lebbeck, Reactive extraction, solvent-assisted, Response surface methodology (RSM), Non edible, Biodiesel