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Article

Predicting the minimum liquid surface tension activity of pseudomonads expressing biosurfactants

Details

Citation

Mohammed IU, Deeni Y, Hapca SM, McLaughlin K & Spiers AJ (2015) Predicting the minimum liquid surface tension activity of pseudomonads expressing biosurfactants. Letters in Applied Microbiology, 60 (1), pp. 37-43. https://doi.org/10.1111/lam.12331

Abstract
Bacteria produce a variety of biosurfactants capable of significantly reducing liquid (aqueous) surface tension (¦Ã) with a range of biological roles and biotechnological uses. To determine the lowest achievable surface tension (¦ÃMin), we tested a diverse collection of Pseudomonas©\like isolates from contaminated soil and activated sludge and identified those expressing biosurfactants by drop©\collapse assay. Liquid surface tension©\reducing ability was quantitatively determined by tensiometry, with 57 isolates found to significantly lower culture supernatant surface tensions to 24¡¤5¨C49¡¤1 mN m?1. Differences in biosurfactant behaviour determined by foaming, emulsion and oil©\displacement assays were also observed amongst isolates producing surface tensions of 25¨C27 mN m?1, suggesting that a range of structurally diverse biosurfactants were being expressed. Individual distribution identification (IDI) analysis was used to identify the theoretical probability distribution that best fitted the surface tension data, which predicted a ¦ÃMin of 24¡¤24 mN m?1. This was in agreement with predictions based on earlier work of published mixed bacterial spp. data, suggesting a fundamental limit to the ability of bacterial biosurfactants to reduce surface tensions in aqueous systems. This implies a biological restriction on the synthesis and export of these agents or a physical¨Cchemical restriction on their functioning once produced.

Keywords
biosurfactant; liquid surface tension; Pseudomonas; statistical prediction; surfactant

Journal
Letters in Applied Microbiology: Volume 60, Issue 1

StatusPublished
Funders
Publication date31/01/2015
Publication date online29/10/2014
Date accepted by journal19/09/2014
URL
PublisherWiley
ISSN0266-8254
eISSN1472-765X

People (1)

Dr Simona Hapca

Dr Simona Hapca

Lecturer, Computing Science