Quantitative tools in microbial and chemical risk assessment
Abstract 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 larg...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-11-01
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| Series: | EFSA Journal |
| Subjects: | |
| Online Access: | https://doi.org/10.2903/j.efsa.2023.e211017 |
| _version_ | 1797447685494538240 |
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| author | Aelita Zabulionė Vasilis P Valdramidis |
| author_facet | Aelita Zabulionė Vasilis P Valdramidis |
| author_sort | Aelita Zabulionė |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-03-09T13:59:29Z |
| format | Article |
| id | doaj.art-ea37721e04fe4fb3afe92179a09089ec |
| institution | Directory Open Access Journal |
| issn | 1831-4732 |
| language | English |
| last_indexed | 2024-03-09T13:59:29Z |
| publishDate | 2023-11-01 |
| publisher | Wiley |
| record_format | Article |
| series | EFSA Journal |
| spelling | doaj.art-ea37721e04fe4fb3afe92179a09089ec2023-11-30T10:34:40ZengWileyEFSA Journal1831-47322023-11-0121S1n/an/a10.2903/j.efsa.2023.e211017Quantitative tools in microbial and chemical risk assessmentAelita Zabulionė0Vasilis P Valdramidis1Kaunas University of Technology (KTU) LithuaniaNational and Kapodistrian University of Athens (NKUA) GreeceAbstract 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.https://doi.org/10.2903/j.efsa.2023.e211017quantitative toolspredicative modellingLactiplantibacillus plantarumsecondary metabolitesinhibitory activity |
| spellingShingle | Aelita Zabulionė Vasilis P Valdramidis Quantitative tools in microbial and chemical risk assessment EFSA Journal quantitative tools predicative modelling Lactiplantibacillus plantarum secondary metabolites inhibitory activity |
| 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 | quantitative tools predicative modelling Lactiplantibacillus plantarum secondary metabolites inhibitory activity |
| url | https://doi.org/10.2903/j.efsa.2023.e211017 |
| work_keys_str_mv | AT aelitazabulione quantitativetoolsinmicrobialandchemicalriskassessment AT vasilispvaldramidis quantitativetoolsinmicrobialandchemicalriskassessment |