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Optimization of Nigella sativa oil-based ferulate ester synthesis using response surface methodology


Citation

Azhari, Farihin and Zaidan, Uswatun Hasanah and Ahmad, Syahida and Abd Gani, Siti Salwa (2019) Optimization of Nigella sativa oil-based ferulate ester synthesis using response surface methodology. Malaysian Applied Biology, 48 (2). pp. 27-31. ISSN 0126-8643

Abstract

Nigella sativa L. seed, also recognized as black cumin is a medicinal plant that possesses miraculous power of healing due to the abilities to cure various ailments. Owing to the oily properties of plant oil, the oil ester is more preferable exhibiting special features such as non-toxic, outstanding moisturizing action and most importantly the absence of oily texture. In this study, Nigella sativa oil-based ferulate ester was synthesized via transesterification of Nigella sativa oil (NSO) and ethyl ferulate (EF) in the presence of immobilized lipase, Lipozyme RM IM from Rhizomucor miehei. A five-level-four-factor central composite rotatable design (CCRD) from response surface methodology (RSM) was applied to study the influence of synthesis parameters: lipase dosage (50-80 mg), temperature (40-60°C), substrate ratio of NSO:EF (2.5:1-5.5:1 w/w) and time (3-7 hr) aiming for the maximum percentage yield of ester. The optimized synthesis conditions were lipase dosage of 67 mg, temperature of 56°C, substrate ratio (NSO:EF) of 4.4:1 w/w and time of 4 hr. The maximum production of ester obtained was 49.87% which is acceptable with the predicted value of 48.82%.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Agriculture
Faculty of Biotechnology and Biomolecular Sciences
Halal Products Research Institute
Publisher: Malaysian Society of Applied Biology
Keywords: Nigella sativa oil; Enzymatic transesterification; Plant oil-based ferulate ester; Optimization; Response surface methodology (RSM)
Depositing User: Ms. Nida Hidayati Ghazali
Date Deposited: 06 May 2021 22:54
Last Modified: 06 May 2021 22:56
URI: http://psasir.upm.edu.my/id/eprint/81572
Statistic Details: View Download Statistic

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