Die another day: Fate of heat-treated Geobacillus stearothermophilus ATCC 12980 spores during storage under growth-preventing conditions

Mtimet, Narjes; Trunet, Clément; Mathot, Anne-Gabrielle; Venaille, Laurent; Leguérinel, Ivan; Coroller, Louis; Couvert, Olivier

doi:10.1016/j.fm.2015.12.007

Cited by 6 publications

(1 citation statement)

References 48 publications

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“…Hygienic procedures and the various methods of food preservation, such as UV radiation, reduce the amount of spore-forming bacteria in the final food product (Brown, 2000). However, there are more and more cases where spores contaminate food and can develop when the conditions were theoretically not favorable, for example at low temperatures (Murphy et al., 1999) or after high heat treatments (Mtimet et al., 2016). Phenotypes of spore-forming bacteria are diverse, both in terms of their behavior towards oxygen and of their resistance to low or high temperatures.…”

Section: Use Of Text Mining Results To Investigate Microbiological Qumentioning

confidence: 99%

Text mining tools for extracting information about microbial biodiversity in food

et al. 2019

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Information on food microbial diversity is scattered across millions of scientific papers. Researchers need tools to assist their bibliographic search in such large collections. Text mining and knowledge engineering methods are useful to automatically and efficiently find relevant information in Life Science. This work describes how the Alvis text mining platform has been applied to a large collection of PubMed abstracts of scientific papers in the food microbiology domain. The information targeted by our work is microorganisms, their habitats and phenotypes. Two knowledge resources, the NCBI taxonomy and the OntoBiotope ontology were used to detect this information in texts. The result of the text mining process was indexed and is presented through the AlvisIR Food on-line semantic search engine. In this paper, we also show through two illustrative examples the great potential of this new tool to assist in studies on ecological diversity and the origin of microbial presence in food.

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Section: Use Of Text Mining Results To Investigate Microbiological Qumentioning

confidence: 99%

Text mining tools for extracting information about microbial biodiversity in food

et al. 2019

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Walking dead: Permeabilization of heat-treated Geobacillus stearothermophilus ATCC 12980 spores under growth-preventing conditions

et al. 2017

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Viability of bacterial spores surviving heat-treatment is lost by further incubation at temperature and pH not suitable for growth

et al. 2021

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Die another day: Fate of heat-treated Geobacillus stearothermophilus ATCC 12980 spores during storage under growth-preventing conditions

Cited by 6 publications

References 48 publications

Text mining tools for extracting information about microbial biodiversity in food

Text mining tools for extracting information about microbial biodiversity in food

Walking dead: Permeabilization of heat-treated Geobacillus stearothermophilus ATCC 12980 spores under growth-preventing conditions

Viability of bacterial spores surviving heat-treatment is lost by further incubation at temperature and pH not suitable for growth

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