An overview of research of essential oils by self-organizing maps: A novel approach for meta-analysis study.
Diego GalvanLuciane EfftingLuiz Torres NetoCarlos Adam Conte JuniorPublished in: Comprehensive reviews in food science and food safety (2021)
Essential oils (EOs) are commercially important products, sources of compounds with antioxidant and antimicrobial activities considered indispensable for several fields, such as the food industry, cosmetics, perfumes, pharmaceuticals, sanitary and agricultural industries. In this context, this systematic review and meta-analysis, a novel approach will be presented using chemometric tools to verify and recognize patterns of antioxidant, antibacterial, and antifungal activities of EOs according to their geographic, botanical, chemical, and microbiological distribution. Scientific papers were selected following the Preferred Reporting Items for Systematic Review and Meta-Analyses statement flow diagram, and the data were evaluated by the self-organizing map and hierarchical cluster analysis. Overall, this novel approach allowed us to draw an overview of antioxidants and antimicrobials activities of EOs reported in 2019, through 585 articles evaluated, obtaining a dataset with more than 10,000 data, distributed in more than 80 countries, 290 plant genera, 150 chemical compounds, 30 genera of bacteria, and 10 genera of fungi. The networks for geographic, botanical, chemical, and microbiological distribution indicated that Brazil, Asia, the botanical genus Thymus, species Thymus vulgaris L. "thyme," the Lamiaceae family, limonene, and the oxygenated monoterpene class were the most representative in the dataset, while the species Escherichia coli and Candida albicans were the most used to assess the antimicrobial activity of EOs. This work can be seen as a guide for the processing of metadata using a novel approach with non-conventional statistical methods. However, this preliminary approach with EOs can be extended to other sources or areas of food science.
Keyphrases
- meta analyses
- systematic review
- candida albicans
- biofilm formation
- escherichia coli
- randomized controlled trial
- anti inflammatory
- electronic health record
- oxidative stress
- human health
- staphylococcus aureus
- big data
- public health
- heavy metals
- climate change
- cross sectional
- emergency department
- adverse drug
- silver nanoparticles
- essential oil
- pseudomonas aeruginosa
- data analysis
- deep learning
- high density
- wound healing
- cystic fibrosis