Literature DB >> 21504764

Quantification of acid-base interactions based on contact angle measurement allows XDLVO predictions to attachment of Campylobacter jejuni but not Salmonella.

Vu Tuan Nguyen1, Teck Wah R Chia, Mark S Turner, Narelle Fegan, Gary A Dykes.   

Abstract

Acid-base (AB) interactions play the most important role in bacterial attachment to surfaces and can be quantified based on electron donor/electron acceptor data from contact angle measurement (CAM) according to the extended Derjaguin-Landau-Verwey-Overbeek (XDLVO) theory. It follows that the XDLVO theory could fail to explain attachment numbers if differences in AB interactions between strains are not apparent by CAM. This study aimed to investigate the validity of the above assumptions by comparing empirical data on attachment of six bacterial strains (three strains of Campylobacter jejuni and three strains of Salmonella) to stainless steel and XDLVO theory predictions. A significant difference (P<0.05) in AB interactions, apparent by CAM, between C. jejuni strains allowed prediction of attachment of this species by the XDLVO theory. However, the theory failed to explain the attachment numbers for Salmonella due to similar AB interactions, as established by CAM, between the three Salmonella strains. Qualitative analysis of AB interactions by microbial adhesion to solvents (MATS) revealed a significant difference (P<0.05) in electron donor property between the three Salmonella strains suggesting that these strains may differ with respect to AB interactions. No significant correlation with respect to electron donor property (P=0.502, r(2)=12%) was apparent between CAM and MATS. These data suggest that CAM may not always reflect exactly AB interactions and that the difference in the outcomes from MATS and CAM should be considered when the XDLVO theory is used to predict bacterial attachment to surfaces.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21504764     DOI: 10.1016/j.mimet.2011.04.005

Source DB:  PubMed          Journal:  J Microbiol Methods        ISSN: 0167-7012            Impact factor:   2.363


  4 in total

1.  Quantitatively predicting bacterial adhesion using surface free energy determined with a spectrophotometric method.

Authors:  Xinru Zhang; Qian Zhang; Tao Yan; Zeyi Jiang; Xinxin Zhang; Yi Y Zuo
Journal:  Environ Sci Technol       Date:  2015-05-04       Impact factor: 9.028

2.  Characterization of activated sludge flocs in membrane bioreactor: stable and unstable flocs.

Authors:  Yifei Sang; Shengli Wang; Lianfa Song; Jingbo Guo; Lanhe Zhang; Haifeng Zhang
Journal:  Environ Sci Pollut Res Int       Date:  2019-09-04       Impact factor: 4.223

3.  The theoretical adhesion of Pseudomonas aeruginosa and Escherichia coli on some plumbing materials in presence of distilled water or tap water.

Authors:  Mourad Elgoulli; Oubid Aitlahbib; Safae Tankiouine; Abdelwahid Assaidi; Mostafa El Louali; Hafida Zahir; Hassan Latrache
Journal:  Folia Microbiol (Praha)       Date:  2021-04-17       Impact factor: 2.099

Review 4.  Adaptive antibacterial biomaterial surfaces and their applications.

Authors:  W Ahmed; Z Zhai; C Gao
Journal:  Mater Today Bio       Date:  2019-06-25
  4 in total

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