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Microbial adhesion to hydrocarbons: twenty-five years of doing MATH
Abstract
Twenty-five years ago this past autumn, we published a short article entitled 'Adherence of bacteria to hydrocarbons: a simple method for measuring cell-surface hydrophobicity' in Volume 9 of FEMS Microbiology Letters. Together with my Ph.D. supervisors, Eugene Rosenberg and David Gutnick, we proposed a method of measuring bacterial cell surface hydrophobicity based on bacterial adherence to hydrocarbon ('BATH', later known as 'MATH', for microbial adhesion to hydrocarbon). The method became popular soon after it was published, and the paper was, for at least the following decade, the Journal's most cited article. It became an ISI 'citation classic' in 1991. This minireview is a rather personal look at the development of the method and its various modifications and other scientific offspring, with the perspective of a quarter-century.
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Cited by
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Liu, H., Wang, S., Cai, Y., Guo, X., Cao, Z., Zhang, Y., Liu, S., Yuan, W., Zhu, W., Zheng, Y., et al. (2017) · Fish & Shellfish Immunology · doi:10.1016/j.fsi.2016.12.003 · Cited by 267
Karunakaran, E., & Biggs, C. A. (2011) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-010-2919-2 · Cited by 119
Klopper, K. B., Deane, S. M., & Dicks, L. M. T. (2018) · Probiotics and Antimicrobial Proteins · doi:10.1007/s12602-017-9307-5 · Cited by 53
Metadata
- Authors
- Rosenberg, M.
- Venue
- FEMS Microbiology Letters
- Publisher
- Oxford University Press (OUP)
- Published
- 2006-09
- Volume
- 262
- Issue
- 2
- Pages
- 129-134
- ISSN
- 0378-1097 (ISSN-L)
- 1574-6968
- OpenAlex
- W2075487534
- Cited by
- 254
- References
- 0
- FWCI
- 7.10
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Microbial adhesion to hydrocarbons: twenty-five years of doing MATH. https://app.cochat.ai/papers/10.1111/j.1574-6968.2006.00291.x
- The paper
- Rosenberg, M. (2006). Microbial adhesion to hydrocarbons: twenty-five years of doing MATH. FEMS Microbiology Letters. https://doi.org/10.1111/j.1574-6968.2006.00291.x
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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.