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Computational tool for optimizing the essential oils utilization in inhibiting the bacterial growth

Authors El-Attar NE, Awad WA

Received 5 April 2017

Accepted for publication 11 July 2017

Published 5 September 2017 Volume 2017:10 Pages 65—78

DOI https://doi.org/10.2147/AABC.S138944

Checked for plagiarism Yes

Review by Single-blind

Peer reviewers approved by Dr Colin Mak

Peer reviewer comments 4

Editor who approved publication: Dr Juan Fernandez-Recio

Noha E El-Attar,1 Wael A Awad2

1Basic Science Department, Faculty of Engineering, Delta University, Mansoura, Egypt; 2Mathematics & Computer Science Dept. Faculty of Science, PortSaid University, PortSaid, Egypt

Abstract: Day after day, the importance of relying on nature in many fields such as food, medical, pharmaceutical industries, and others is increasing. Essential oils (EOs) are considered as one of the most significant natural products for use as antimicrobials, antioxidants, ­antitumorals, and anti-inflammatories. Optimizing the usage of EOs is a big challenge faced by the scientific researchers because of the complexity of chemical composition of every EO, in addition to the difficulties to determine the best in inhibiting the bacterial activity. The goal of this article is to present a new computational tool based on two methodologies: reduction by using rough sets and optimization with particle swarm optimization. The developed tool dubbed as Essential Oil Reduction and Optimization Tool is applied on 24 types of EOs that have been tested toward 17 different species of bacteria.

Keywords: essential oils, reduction, optimization, rough sets, particle swarm optimization

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