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A new method for determining the minimum inhibitory concentration of essential oils

Mann, C.M., Markham, J.L.·1998·Journal of Applied Microbiology

Abstract

A new microdilution method has been developed for determining the minimum inhibitory concentration (MIC) of oil-based compounds. The redox dye resazurin was used to determine the MIC of a sample of the essential oil of Melaleuca alternifolia (tea tree) for a range of Gram-positive and -negative bacteria. Use of 0.15% (w/v) agar as a stabilizer overcame the problem of adequate contact between the oil and the test bacteria and obviated the need to employ a chemical emulsifier. A rapid version of the assay was also developed for use as a screening method. A comparison of visual and photometric reading of the microtitre plates showed that results could be assessed without instrumentation; moreover, if the rapid assay format was used, rigorous asepsis was not necessary. Accuracy of the resazurin method was confirmed by plate counting from microwells and MIC values were compared with results obtained using an agar dilution assay. The MIC results obtained by the resazurin method were slightly lower than those obtained by agar dilution.

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Metadata

Authors
Mann, C. M., & Markham, J. L.
Venue
Journal of Applied Microbiology
Published
1998-05
Volume
84
Issue
4
Pages
538-544
ISSN
  • 1364-5072 (ISSN-L)
  • 1365-2672
OpenAlex
W2021198360
Cited by
500
References
0
FWCI
9.47
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A new method for determining the minimum inhibitory concentration of essential oils. https://app.cochat.ai/papers/10.1046/j.1365-2672.1998.00379.x
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Mann, C. M., & Markham, J. L. (1998). A new method for determining the minimum inhibitory concentration of essential oils. Journal of Applied Microbiology. https://doi.org/10.1046/j.1365-2672.1998.00379.x

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.