Response Surface Methodology: An Emphatic Tool for Optimized Biodiesel Production Using Rice Bran and Sunflower Oils

Muhammad Waseem Mumtaz, Ahmad Adnan, Farooq Anwar, Hamid Mukhtar, Muhammad Asam Raza, Farooq Ahmad and Umer Rashid
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Muhammad Waseem Mumtaz: Department of Chemistry, GC University Lahore, Lahore 54000, Pakistan
Ahmad Adnan: Department of Chemistry, GC University Lahore, Lahore 54000, Pakistan
Farooq Anwar: Department of Chemistry, University of Sargodha, Sargodha 40100, Pakistan
Hamid Mukhtar: Institute of Industrial biotechnology, GC University Lahore, Lahore 54000, Pakistan
Muhammad Asam Raza: Department of Chemistry, University of Gujrat, Lahore 54000, Pakistan
Farooq Ahmad: Department of Chemistry, University of Gujrat, Lahore 54000, Pakistan
Umer Rashid: Institute of Advanced Technology, Universiti Putra Malaysia, Serdang-43400, Selangor, Malaysia

Energies, 2012, vol. 5, issue 9, 1-22

Abstract: The current study describes the emphatic use of response surface methodology for the optimized biodiesel production using chemical and enzymatic transesterification of rice bran and sunflower oils. Optimal biodiesel yields were determined to be 65.3 ± 2.0%, 73.4 ± 3.5%, 96.5 ± 1.6%, 89.3 ± 2.0% and 41.7 ± 3.9% for rice bran oil and 65.6 ± 1.2%, 82.1 ± 1.7%, 92.5 ± 2.8%, 72.6 ± 1.6% and 50.4 ± 2.5% for sunflower oil via the transesterification catalyzed by NaOH, KOH and NaOCH 3 ,NOVOZYME-435 and A.n. Lipase, respectively. Based upon analysis of variance (ANOVA) and Response Surface plots significant impact of reaction parameters under study was ascertained. FTIR spectroscopic and HPLC methods were employed for monitoring the transesterification reaction progress while GC-MS analysis was performed to evaluate the compositional analysis of biodiesel. The fuel properties of both the rice bran and sunflower oil based biodiesel were shown to be technically compatible with the ASTM D6751 and EN 14214 standards. The monitoring of exhaust emission of synthesized biodiesels and their blends revealed a marked reduction in carbon monoxide (CO) and particulate matter (PM) levels, whereas an irregular trend was observed for NO x emissions.

Keywords: feed stock oil; biodiesel; response surface methodology; optimization; emission levels; FTIR; GC-MS; fuel properties (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2012
References: View complete reference list from CitEc
Citations: View citations in EconPapers (9)

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