The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Resazurin-based 96-well plate microdilution method for the determination of minimum inhibitory concentration of biosurfactants
Open accessAbstract
OBJECTIVES: To develop and validate a microdilution method for measuring the minimum inhibitory concentration (MIC) of biosurfactants. RESULTS: A standardized microdilution method including resazurin dye has been developed for measuring the MIC of biosurfactants and its validity was established through the replication of tetracycline and gentamicin MIC determination with standard bacterial strains. CONCLUSION: This new method allows the generation of accurate MIC measurements, whilst overcoming critical issues related to colour and solubility which may interfere with growth measurements for many types of biosurfactant extracts.
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Cites
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Research works printed but not linked: 2
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Cited by
The Minimum Inhibitory Concentration of Antibiotics: Methods, Interpretation, Clinical Relevance
Kowalska-Krochmal, B., & Dudek-Wicher, R. (2021) · Pathogens · doi:10.3390/pathogens10020165 · Cited by 1,039
Hossain, T. J. (2024) · European Journal of Microbiology and Immunology · doi:10.1556/1886.2024.00035 · Cited by 392
Metadata
- Authors
- Elshikh, M., Ahmed, S., Funston, S., Dunlop, P., McGaw, M., Marchant, R., & Banat, I. M.
- Venue
- Biotechnology Letters
- Published
- 2016-03-11
- Volume
- 38
- Issue
- 6
- Pages
- 1015-1019
- ISSN
- 0141-5492 (ISSN-L)
- 1573-6776
- OpenAlex
- W2296423693
- Cited by
- 816
- References
- 11
- FWCI
- 12.60
- Type
- journal article
- Language
- en
- Open access
- hybrid
- Funders
- EU FP7 (project 289219)
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- Elshikh, M., Ahmed, S., Funston, S., Dunlop, P., McGaw, M., Marchant, R., & Banat, I. M. (2016). Resazurin-based 96-well plate microdilution method for the determination of minimum inhibitory concentration of biosurfactants. Biotechnology Letters. https://doi.org/10.1007/s10529-016-2079-2
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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.
