Literature DB >> 36216976

Growth models of fractal interfaces in the description of microorganism colony growth: effect of photodynamic inactivation.

Tarquin F Trescher1, Romário J da Silva1, Paula C S Souto1, Josmary R Silva1, Nara C de Souza2,3.   

Abstract

Candida albicans is responsible for most of the nosocomial infections that affect immunocompromised individuals. We investigated the application of eosin in photodynamic inactivation as a strategy in the inhibition of the growth of C. albicans and the morphological variation and growth dynamics in light of fractal theory. The damage caused to fungal structures alters the roughness of the colony, and these changes were described by parameters that were defined by mathematical models. Proliferation of the fungi should be inhibited in the center of the colonies and the analysis of the edges gives an indication about the dynamics of growth and cell reproduction.
© 2022. The Author(s), under exclusive licence to European Photochemistry Association, European Society for Photobiology.

Entities:  

Keywords:  Atomic force microscopy; Candida albicans; Eosin; Fractal; Growth dynamics

Year:  2022        PMID: 36216976     DOI: 10.1007/s43630-022-00315-y

Source DB:  PubMed          Journal:  Photochem Photobiol Sci        ISSN: 1474-905X            Impact factor:   4.328


  9 in total

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5.  Immobilization of chlorophyll by using layer-by-layer technique for controlled release systems and photodynamic inactivation.

Authors:  Filipe D S Gorza; Romário J da Silva; Tarquin F Trescher; Graciela C Pedro; Maria A Oliveira de Sousa; Paula C S Souto; Josmary R Silva; Nara C de Souza
Journal:  Photodiagnosis Photodyn Ther       Date:  2016-06-29       Impact factor: 3.631

Review 6.  Photodynamic therapy.

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Review 7.  Candida biofilms and their role in infection.

Authors:  L Julia Douglas
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Review 8.  The role of light in the treatment of non-melanoma skin cancer using methyl aminolevulinate.

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Journal:  J Dermatolog Treat       Date:  2003       Impact factor: 3.359

9.  Comprehensive analysis of central carbon metabolism illuminates connections between nutrient availability, growth rate, and cell morphology in Escherichia coli.

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  9 in total

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