Determining and unravelling origins of reduced photoinactivation efficacy of bacteria in milk.


Journal

Journal of photochemistry and photobiology. B, Biology
ISSN: 1873-2682
Titre abrégé: J Photochem Photobiol B
Pays: Switzerland
ID NLM: 8804966

Informations de publication

Date de publication:
Aug 2019
Historique:
received: 15 05 2019
revised: 30 06 2019
accepted: 10 07 2019
pubmed: 22 7 2019
medline: 3 8 2019
entrez: 22 7 2019
Statut: ppublish

Résumé

Bovine mastitis is an endemic disease of dairy cattle that is considered to be one of the most frequent and costly diseases in veterinary medicine. An increase in the incidence of disease results in the increased use of antibiotics, which in turn increases the potential of bacterial resistance. This study aimed to investigate the effectiveness of antimicrobial photodynamic therapy (aPDT) in the treatment of bovine mastitis, as an alternative to systemic antibiotics. To identify the key factors affecting photoinactivation efficacy, realistic experiments in view of the end-use were conducted in milk samples using two different photosensitizers: methylene blue (MB) and silicon (IV) phthalocyanine derivative (SiPc). We explored the effects of divalent ions and fat content on the aPDT outcome and determined influence of different proteins on aPDT efficacy. Levels of bacterial sensitivity to PSs varied depending on the type of bacteria (Gram-positive vs. Gram-negative) and light exposure time. Critical interrelated factors affecting aPDT in milk were identified and an efficient combination of treatment conditions that can lead to a full photodynamic inactivation of bacteria was determined.

Identifiants

pubmed: 31326843
pii: S1011-1344(19)30620-7
doi: 10.1016/j.jphotobiol.2019.111554
pii:
doi:

Substances chimiques

Indoles 0
Isoindoles 0
Milk Proteins 0
Photosensitizing Agents 0
Singlet Oxygen 17778-80-2
Methylene Blue T42P99266K
phthalocyanine V5PUF4VLGY

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

111554

Informations de copyright

Copyright © 2019. Published by Elsevier B.V.

Auteurs

Anzhela Galstyan (A)

Center for Soft Nanoscience, University of Münster, Busso-Peus-Straße 10, D-48149 Münster, Germany. Electronic address: anzhela.galstyan@wwu.de.

Ulrich Dobrindt (U)

Institute of Hygiene, University of Münster, Mendelstraße 7, D-48149 Münster, Germany.

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Classifications MeSH