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

Energies

Muhammad Waseem Mumtaz⁴  Ahmad Adnan⁴  Farooq Anwar¹  Hamid Mukhtar²  Muhammad Asam Raza³  Farooq Ahmad³ 

[1] Department of Chemistry, University of Sargodha, Sargodha 40100, Pakistan;Institute of Industrial biotechnology, GC University Lahore, Lahore 54000, Pakistan; E-Mail:;Department of Chemistry, University of Gujrat, Lahore 54000, Pakistan; E-Mails:;Department of Chemistry, GC University Lahore, Lahore 54000, Pakistan; E-Mails:

关键词: feed stock oil;    biodiesel;    response surface methodology;    optimization;    emission levels;    FTIR;    GC-MS;    fuel properties;   

DOI  :  10.3390/en5093307

来源: mdpi

【 摘 要 】

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 NaOCH₃,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.

【 授权许可】

CC BY   
© 2012 by the authors; licensee MDPI, Basel, Switzerland.