Proteolytic Clostridium botulinum (group I) – evaluation of predictive models for time-to-toxicity and identification of product characteristics that prevent growth and toxin formation in different types of foods
Edgar Remmet Snoeck, Ioulia Koukou, Paw Dalgaard · 2026
Read Proteolytic Clostridium botulinum (group I) – evaluation of predictive models for time-to-toxicity and identification of product characteristics that prevent growth and toxin formation in different types of foods by Edgar Remmet Snoeck, Ioulia Koukou, Paw Dalgaard (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13582636.txt.
Description
Edgar Remmet Snoeck, Ioulia Koukou, and Paw Dalgaard present a 2026 study of models that predict when a deadly food bacterium could turn food toxic. The germ's toxin causes botulism, and blocking its growth is key for new low salt or nitrite free foods. Math models can flag which product traits and storage setups stay safe.
The team extended an existing growth model, built on eleven factors, to predict time to toxicity. They gathered data from 962 past experiments to test the model's versions. The work also names product traits that stop growth outright. Such checks can guide food makers before costly lab trials.
Catalog record
| CREATOR | Edgar Remmet Snoeck, Ioulia Koukou, Paw Dalgaard |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 98 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |