Cargando…
Quantitative tools in microbial and chemical risk assessment
The popularity of biological origin food protection substances is driven by demands from consumers for natural and clean label product, increasing various food‐related safety and health concerns and sustainability issues. Lactic acid bacteria (LAB) are most promising because they are a large group o...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10687751/ https://www.ncbi.nlm.nih.gov/pubmed/38047135 http://dx.doi.org/10.2903/j.efsa.2023.e211017 |
_version_ | 1785152034352136192 |
---|---|
author | Zabulionė, Aelita Valdramidis, Vasilis P |
author_facet | Zabulionė, Aelita Valdramidis, Vasilis P |
author_sort | Zabulionė, Aelita |
collection | PubMed |
description | The popularity of biological origin food protection substances is driven by demands from consumers for natural and clean label product, increasing various food‐related safety and health concerns and sustainability issues. Lactic acid bacteria (LAB) are most promising because they are a large group of beneficial microorganisms commonly used in food protection due to their ability to inhibit the growth of pathogenic bacteria and enhance food safety. Extensive scientific research has been conducted to understand the mechanisms by which LAB exert their protective effects in various food systems. Even though LAB activity against various food pathogens and spoilers is distinguished, use of cell‐free supernatant (CFS) is still under investigation. This report is dedicated to present how qualitative measures can elaborate in new bacteria‐origin food additive investigation. As part of the EU‐FORA programme, the fellow was involved in the risk assessment tasks and projects which include gaining basic knowledge in predicative microbiology fundamentals, including different types of modelling strategies; delivering essential understanding about experimental design, knowledge in three specific software tools (MATLAB, GInaFiT and DMFit) and gained overall understanding what are the main differences while modelling growth or inactivation models. Secondary activities were included as a way to expand competences beyond qualitative measures to overall all activities done regarding risk assessment and build a strong network of food safety experts and professionals to continue engaging in risk assessment beyond fellowship programme. |
format | Online Article Text |
id | pubmed-10687751 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-106877512023-12-01 Quantitative tools in microbial and chemical risk assessment Zabulionė, Aelita Valdramidis, Vasilis P EFSA J Eu‐fora Series 6 The popularity of biological origin food protection substances is driven by demands from consumers for natural and clean label product, increasing various food‐related safety and health concerns and sustainability issues. Lactic acid bacteria (LAB) are most promising because they are a large group of beneficial microorganisms commonly used in food protection due to their ability to inhibit the growth of pathogenic bacteria and enhance food safety. Extensive scientific research has been conducted to understand the mechanisms by which LAB exert their protective effects in various food systems. Even though LAB activity against various food pathogens and spoilers is distinguished, use of cell‐free supernatant (CFS) is still under investigation. This report is dedicated to present how qualitative measures can elaborate in new bacteria‐origin food additive investigation. As part of the EU‐FORA programme, the fellow was involved in the risk assessment tasks and projects which include gaining basic knowledge in predicative microbiology fundamentals, including different types of modelling strategies; delivering essential understanding about experimental design, knowledge in three specific software tools (MATLAB, GInaFiT and DMFit) and gained overall understanding what are the main differences while modelling growth or inactivation models. Secondary activities were included as a way to expand competences beyond qualitative measures to overall all activities done regarding risk assessment and build a strong network of food safety experts and professionals to continue engaging in risk assessment beyond fellowship programme. John Wiley and Sons Inc. 2023-11-30 /pmc/articles/PMC10687751/ /pubmed/38047135 http://dx.doi.org/10.2903/j.efsa.2023.e211017 Text en © 2023 European Food Safety Authority. EFSA Journal published by Wiley‐VCH GmbH on behalf of European Food Safety Authority. https://creativecommons.org/licenses/by-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nd/4.0/ (https://creativecommons.org/licenses/by-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited and no modifications or adaptations are made. |
spellingShingle | Eu‐fora Series 6 Zabulionė, Aelita Valdramidis, Vasilis P Quantitative tools in microbial and chemical risk assessment |
title | Quantitative tools in microbial and chemical risk assessment |
title_full | Quantitative tools in microbial and chemical risk assessment |
title_fullStr | Quantitative tools in microbial and chemical risk assessment |
title_full_unstemmed | Quantitative tools in microbial and chemical risk assessment |
title_short | Quantitative tools in microbial and chemical risk assessment |
title_sort | quantitative tools in microbial and chemical risk assessment |
topic | Eu‐fora Series 6 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10687751/ https://www.ncbi.nlm.nih.gov/pubmed/38047135 http://dx.doi.org/10.2903/j.efsa.2023.e211017 |
work_keys_str_mv | AT zabulioneaelita quantitativetoolsinmicrobialandchemicalriskassessment AT valdramidisvasilisp quantitativetoolsinmicrobialandchemicalriskassessment |