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Research Article

Academia Journal of Biotechnology 7(7): 116-127, July 2019
DOI: 10.15413/ajb.2019.0101
ISSN: 2315-7747
2019 Academia Publishing

Abstract


Optimization of phytochemical screening analysis of Ocimum gratissimum leaf oil extraction process
 

Accepted 15th March, 2019
 
Ezeugo JO1*, Nwanekezie MN1, Onukwuli OD1,2, Olisa-Bosah CC1, Ezeh LI1

1Chemical Engineering Department, Chukwumea Odumegwu Ojukwu University, Anambra State.
2Department Of Chemical Engineering, Nnamdi Azikiwe University, Awka, Anambra State.


Optimization of the process variables for the extraction of oil from ocimum gratissimum (scent leaves) was studied. The effects of various process variables such as temperature, time, volume of solvent, particle size and their interaction on oil yield were investigated. A predictive model describing the oil yield in terms of process variables was derived from multiple regression analysis. Optimum yield of (54%) was predicted at extraction temperature of 50C, extraction time of 40 min, leaf particle size of 150 m and 125 ml volume of solvent but decreased with increase in leaf particle size. The extract was analyzed to examine the physiochemical properties such as acid value, iodine value, peroxide value, viscosity, saponification value, specific gravity, moisture and ash contents using standard methods. Results revealed that the oil is edible and can be used in food and pharmaceutical industries for spice and drug production respectively.

Key words: Optimization, Ocimum gratissimum, response, surface methodology, regression analysis.
 

This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Cite this article as:
Ezeugo JO, Nwanekezie MN, Onukwuli OD, Olisa-Bosah CC, Ezeh LI (2019). Optimization of phytochemical screening analysis of Ocimum gratissimum leaf oil extraction process. Acad. J. Biotechnol. 7(7): 116-127.

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