Emerging trends in the photodynamic inactivation (PDI) applied to the food decontamination
Article
Cossu, M., Ledda, L. and Cossu, A. 2021. Emerging trends in the photodynamic inactivation (PDI) applied to the food decontamination. Food Research International. 144. https://doi.org/10.1016/j.foodres.2021.110358
Type | Article |
---|---|
Title | Emerging trends in the photodynamic inactivation (PDI) applied to the food decontamination |
Authors | Cossu, M., Ledda, L. and Cossu, A. |
Abstract | The food and drink manufacturing industry is constantly seeking for alternative sanitation and disinfection systems that may achieve the same antimicrobial efficiency of conventional chemical sanitisers and at the same time be convenient in terms of energy and water savings. A candidate technology for this purpose is the use of light in combination with photosensitisers (PS) to generate a bioactive effect against microbial agents in a process defined as photodynamic inactivation (PDI). This technology can be applied to the food processing of different food matrices to reduce the microbial load of foodborne pathogens such as bacteria, fungi, viruses and protozoa. Also, the PDI can be exploited to increase the shelf-life period of food by inactivation of spoiling microbes. |
Keywords | Antimicrobial activity; Blue LED light; Curcumin; Food sanitation; Photodynamic inactivation; Photosensitizer; Porphyrin |
Publisher | Elsevier |
Journal | Food Research International |
ISSN | 0963-9969 |
Electronic | 1873-7145 |
Publication dates | |
Online | 01 Apr 2021 |
01 Jun 2021 | |
Publication process dates | |
Submitted | 13 Nov 2020 |
Accepted | 23 Mar 2021 |
Deposited | 06 Apr 2021 |
Output status | Published |
Accepted author manuscript | License |
Copyright Statement | © 2021. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.foodres.2021.110358 |
Scopus EID | 2-s2.0-85103964996 |
Web of Science identifier | WOS:000663530800002 |
Language | English |
https://repository.mdx.ac.uk/item/8951z
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