The use of chemometric modelling to determine chemical composition-antimicrobial activity relationships of essential oils used in respiratory tract infections (Record no. 55424)

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003 - CONTROL NUMBER IDENTIFIER
control field MX-MdCICY
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250625164353.0
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Transcribing agency CICY
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Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) B-21361
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Title The use of chemometric modelling to determine chemical composition-antimicrobial activity relationships of essential oils used in respiratory tract infections
490 0# - SERIES STATEMENT
Series statement Fitoterapia. 154, 105024, 2021, DOI: 10.1016/j.fitote.2021.105024
520 3# - SUMMARY, ETC.
Summary, etc. The antimicrobial effects of essential oils are commonly cited within aromatherapeutic texts for use in respiratory tract infections. These essential oils are inhaled or applied to the skin to treat infections and manage symptoms associated with these conditions. A limited number of these essential oils have been scientifically studied to support these claims, specifically, against respiratory pathogens. This study reports on the minimum inhibitory concentration (MIC) of 49 commercial essential oils recommended for respiratory tract infections, and identifies putative biomarkers responsible for the determined antimicrobial effect following a biochemometric workflow. Essential oils were investigated against nine pathogens. Three essential oils, Amyris balsamifera (amyris), Coriandrum sativum (coriander) and Santalum austrocaledonicum (sandalwood) were identified as having greater activity (MIC value = 0.03-0.13 mg/ml) compared to the other essential oils investigated. The essential oil composition of all 49 oils were determined using Gas Chromatography coupled to Mass Spectroscopy (GC-MS) analysis and the GC-MS data analysed together with the antimicrobial data using chemometric tools. Eugenol was identified as the main biomarker responsible for antimicrobial activity in the majority of the essential oils. The ability of a chemometric model to accurately predict the active and inactive biomarkers of the investigated essential oils against pathogens of the respiratory tract was 80.33%. © 2021 Elsevier B.V.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element ANTIMICROBIAL ACTIVITY
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element CHEMISTRY
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element CHEMOMETRICS
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element ESSENTIAL OIL
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element PUTATIVE BIOMARKER
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element RESPIRATORY TRACT INFECTION
700 12 - ADDED ENTRY--PERSONAL NAME
Personal name Rapper S.L.-D.
700 12 - ADDED ENTRY--PERSONAL NAME
Personal name Tankeu S.Y.
700 12 - ADDED ENTRY--PERSONAL NAME
Personal name Kamatou G.
700 12 - ADDED ENTRY--PERSONAL NAME
Personal name Viljoen A.
700 12 - ADDED ENTRY--PERSONAL NAME
Personal name van Vuuren S.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://drive.google.com/file/d/1qgnvRUzqaW_CE_DZMqhhnwJARjbWwvFe/view?usp=drivesdk">https://drive.google.com/file/d/1qgnvRUzqaW_CE_DZMqhhnwJARjbWwvFe/view?usp=drivesdk</a>
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Source of classification or shelving scheme Clasificación local
Koha item type Documentos solicitados
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  Clasificación local     Ref1 CICY CICY Documento préstamo interbibliotecario 25.06.2025   B-21361 25.06.2025 25.06.2025 Documentos solicitados