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Record W2982293594 · doi:10.1111/jfpe.13273

Evaluation of thermal destruction kinetics of <i>Clostridium difficile</i> spores (ATCC 17857) in lean ground beef with first‐order/Weibull modeling considerations

2019· article· en· W2982293594 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Food Process Engineering · 2019
Typearticle
Languageen
FieldMedicine
TopicClostridium difficile and Clostridium perfringens research
Canadian institutionsHealth CanadaMcGill University
FundersAgriculture and Agri-Food CanadaNatural Sciences and Engineering Research Council of Canada
KeywordsWeibull distributionClostridium difficileD-valueSporeKineticsMathematicsStatisticsFood scienceChemistryMicrobiologyPhysicsBiologyAntibiotics

Abstract

fetched live from OpenAlex

Abstract Thermal destruction kinetics of spores of Clostridium difficile ATCC 17857 was evaluated between 74 and 82°C and characterized using the first‐order log‐linear and Weibull models. Computed decimal reduction times using the first‐order model ranged from 4.39 min at 82°C to 146 min at 74°C, with a z value of 5.17°C. Thermal destruction data were also analyzed using the Weibull model. Based on regression, the predicted one‐D value (first‐order model) and the reliable life ( t R ) (Weibull model) were 3.86 and 4.05 min at 82°C and 136 and 165 min at 74°C, respectively, indicating the Weibull model to be more conservative yielding higher decimal reduction time values. However, when extended to achieve 2.5, 4, and 6 decimal reductions in C. difficile spores, the calculated process times were more conservative with the first‐order model than with the Weibull model. Moreover, within the experimental range, when data for both models could be compared, predictions from the first‐order model were much closer to the experimental values. Therefore, when used for process calculation for 2.5 or higher log reductions, the first‐order model would give more conservative and safer process times. The study provides destruction kinetics data for C. difficile under a range of temperature conditions. Practical Applications Clostridium difficile is a major cause of antibiotic‐associated diarrhea and pseudomembranous colitis in humans. C. difficile infection is the leading cause of gastroenteritis‐associated death. C. difficile i nfections have been increasing in recent years, and therefore warrant appropriate remedial measures. Thermal inactivation is the most common method for pathogen control, and often the cooking practices are adjusted to a level pre‐established to make the foods pathogen free. Available information on thermal destruction kinetics is scarce, and therefore the data generated here should be of significant importance for safety considerations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.433
Threshold uncertainty score0.719

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.028
GPT teacher head0.274
Teacher spread0.245 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it