Essential Oils Biofilm Modulation Activity, Chemical and Machine Learning Analysis—Application on Staphylococcus aureus Isolates from Cystic Fibrosis Patients Article Swipe
Rosanna Papa
,
Stefanıa Garzoli
,
Gianluca Vrenna
,
Manuela Sabatino
,
Filippo Sapienza
,
Michela Relucenti
,
Orlando Donfrancesco
,
Ersilia Fiscarelli
,
Marco Artini
,
Laura Selan
,
Rino Ragno
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.3390/ijms21239258
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.3390/ijms21239258
Bacterial biofilm plays a pivotal role in chronic Staphylococcus aureus (S. aureus) infection and its inhibition may represent an important strategy to develop novel therapeutic agents. The scientific community is continuously searching for natural and “green alternatives” to chemotherapeutic drugs, including essential oils (EOs), assuming the latter not able to select resistant strains, likely due to their multicomponent nature and, hence, multitarget action. Here it is reported the biofilm production modulation exerted by 61 EOs, also investigated for their antibacterial activity on S. aureus strains, including reference and cystic fibrosis patients’ isolated strains. The EOs biofilm modulation was assessed by Christensen method on five S. aureus strains. Chemical composition, investigated by GC/MS analysis, of the tested EOs allowed a correlation between biofilm modulation potency and putative active components by means of machine learning algorithms application. Some EOs inhibited biofilm growth at 1.00% concentration, although lower concentrations revealed different biological profile. Experimental data led to select antibiofilm EOs based on their ability to inhibit S. aureus biofilm growth, which were characterized for their ability to alter the biofilm organization by means of SEM studies.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/ijms21239258
- https://www.mdpi.com/1422-0067/21/23/9258/pdf?version=1608168923
- OA Status
- gold
- Cited By
- 33
- References
- 56
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3110379548
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3110379548Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/ijms21239258Digital Object Identifier
- Title
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Essential Oils Biofilm Modulation Activity, Chemical and Machine Learning Analysis—Application on Staphylococcus aureus Isolates from Cystic Fibrosis PatientsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-12-04Full publication date if available
- Authors
-
Rosanna Papa, Stefanıa Garzoli, Gianluca Vrenna, Manuela Sabatino, Filippo Sapienza, Michela Relucenti, Orlando Donfrancesco, Ersilia Fiscarelli, Marco Artini, Laura Selan, Rino RagnoList of authors in order
- Landing page
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https://doi.org/10.3390/ijms21239258Publisher landing page
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https://www.mdpi.com/1422-0067/21/23/9258/pdf?version=1608168923Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://www.mdpi.com/1422-0067/21/23/9258/pdf?version=1608168923Direct OA link when available
- Concepts
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Biofilm, Staphylococcus aureus, Microbiology, Chemistry, Potency, Biology, Bacteria, Biochemistry, In vitro, GeneticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
33Total citation count in OpenAlex
- Citations by year (recent)
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2025: 8, 2024: 6, 2023: 7, 2022: 6, 2021: 6Per-year citation counts (last 5 years)
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56Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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