Finding optimal photosensitisers for the decontamination of foods by the photodynamic effect.

Autor(en)
Michaela Kreitner, Karl Heinz Wagner, Gerhart Alth, Robert Ebermann, Helmut Foissy, Ibrahim Elmadfa
Abstrakt

A new method for sanitation based on the photodynamic effect is introduced. Photosensitisers are compounds that generate cytotoxic oxygen species and free radicals after excitation with appropriate visible light. The cell killing efficacy is due to their chemical structure, to the actual environment and therefore also to their degree of aggregation. As has been shown, photosensitisers bound to the cell wall or incorporated into the cells are very effective cytotoxic agents after illumination. Even singlet oxygen generated in the gas phase surrounding the micro-organisms effectively kills cells. Especially membrane components are the targets of the photodynamic effect. Membrane disintegration is observed soon after illumination. The food contaminants under investigation are Bacillus subtilis, Bacillus cereus, forming endospores, Staphylococcus aureus, forming a wide range of agressins, exotoxins and enterotoxins, all gram positive micro-organisms, Escherichia coli, a hygiene indicator, and the yeasts Saccharomyces cerevisiae, Kloeckera javanica, Rhodotorula mucilaginosa, a blue and a pink pigmented isolate from foods. We investigated the capacity of several photosensitisers to induce the phototoxic effect towards those micro-organisms following excitation by visible light.

Organisation(en)
Department für Ernährungswissenschaften
Journal
Forum of nutrition
Band
56
Seiten
367-369
Anzahl der Seiten
3
ISSN
1660-0347
Publikationsdatum
2003
Peer-reviewed
Ja
ÖFOS 2012
303009 Ernährungswissenschaften
ASJC Scopus Sachgebiete
Nutrition and Dietetics, Public Health, Environmental and Occupational Health
Sustainable Development Goals
SDG 3 – Gesundheit und Wohlergehen
Link zum Portal
https://ucrisportal.univie.ac.at/de/publications/finding-optimal-photosensitisers-for-the-decontamination-of-foods-by-the-photodynamic-effect(51439b36-604f-41af-96b6-bbce9e57e03f).html