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Quantitative Criterion to Predict Cell Adhesion by Identifying Dominant Interaction between Microorganisms and Abiotic Surfaces.
Langmuir ; 35(9): 3524-3533, 2019 03 05.
Article in En | MEDLINE | ID: mdl-30580526
ABSTRACT
Cell adhesion is ubiquitous and plays an important role in various scientific and engineering problems. Herein, a quantitative criterion to predict cell adhesion was proposed by identifying the dominant interaction between microorganisms and abiotic surfaces. According to the criterion, the dominant interaction in cell adhesion could be identified as a Lewis acid-base (AB) interaction or electrostatic (EL) interaction via comparison of two expressions containing the electron-donor characteristics of the microorganism (γmv-) and abiotic surface (γsv-) and their ζ potentials (ζm, ζs). The results revealed that when dominated by the AB interaction, adhesion would decrease with increasing [Formula see text]. However, when the EL interaction was dominant, adhesion would decrease with increasing (ζm + ζs)2. We have verified the criterion based on the adhesion of microalgae, bacteria, and fungi onto various surfaces obtained via our experiments and available in literature studies. The results demonstrated that the criterion had important implications in the prediction of cell adhesion in various applications.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Bacterial Adhesion / Cell Adhesion / Models, Biological Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Langmuir Journal subject: QUIMICA Year: 2019 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Bacterial Adhesion / Cell Adhesion / Models, Biological Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Langmuir Journal subject: QUIMICA Year: 2019 Document type: Article