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Computational tool for optimizing the essential oils utilization in inhibiting the bacterial growth
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-inflammato...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove Medical Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5592951/ https://www.ncbi.nlm.nih.gov/pubmed/28919787 http://dx.doi.org/10.2147/AABC.S138944 |
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author | El-Attar, Noha E Awad, Wael A |
author_facet | El-Attar, Noha E Awad, Wael A |
author_sort | El-Attar, Noha E |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5592951 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Dove Medical Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-55929512017-09-15 Computational tool for optimizing the essential oils utilization in inhibiting the bacterial growth El-Attar, Noha E Awad, Wael A Adv Appl Bioinform Chem Methodology 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. Dove Medical Press 2017-09-05 /pmc/articles/PMC5592951/ /pubmed/28919787 http://dx.doi.org/10.2147/AABC.S138944 Text en © 2017 El-Attar and Awad. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. |
spellingShingle | Methodology El-Attar, Noha E Awad, Wael A Computational tool for optimizing the essential oils utilization in inhibiting the bacterial growth |
title | Computational tool for optimizing the essential oils utilization in inhibiting the bacterial growth |
title_full | Computational tool for optimizing the essential oils utilization in inhibiting the bacterial growth |
title_fullStr | Computational tool for optimizing the essential oils utilization in inhibiting the bacterial growth |
title_full_unstemmed | Computational tool for optimizing the essential oils utilization in inhibiting the bacterial growth |
title_short | Computational tool for optimizing the essential oils utilization in inhibiting the bacterial growth |
title_sort | computational tool for optimizing the essential oils utilization in inhibiting the bacterial growth |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5592951/ https://www.ncbi.nlm.nih.gov/pubmed/28919787 http://dx.doi.org/10.2147/AABC.S138944 |
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