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Controlling Cronobacter spp. in dairy manufacturing – Fundamental characteristics and practical guidance

2024· article· en· W4390752584 on OpenAlexaff
Denise Lindsay, Jeffrey M. Farber, Ben Bright, Owen Shrubb, Donna Crowe, Tanya K. Soboleva

Bibliographic record

VenueFood Control · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEnterobacteriaceae and Cronobacter Research
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsCronobacterHygieneBiologyOpportunistic pathogenPopulationBiotechnologyBusinessBacteriaEnvironmental healthMedicineEnterobacter

Abstract

fetched live from OpenAlex

Cronobacter spp. are members of the Enterobacteriaceae family and are important opportunistic pathogens to control during the manufacture of powdered infant formula, as susceptible infants are the most at-risk population for foodborne illness from this bacterium. This review presents the most recent microbiological findings on Cronobacter spp., and gives a view of Cronobacter spp. from the manufacturing and processing perspective. Practical thinking and guidelines for control of this bacterium in the most common parts of the manufacturing process, where contamination may occur, are highlighted, and supported by updated and robust scientific literature. From a practical perspective, all Cronobacter spp. should be considered as pathogens, and dairy manufacturing plants should respond to its presence, no matter what species is identified. The natural and ubiquitous nature of Cronobacter spp. suggests that general hygiene and continuous monitoring of the processing environment for this bacterium is important, since complete eradication is unlikely.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0020.003
Open science0.0020.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0020.001

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 head0.014
GPT teacher head0.283
Teacher spread0.269 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations13
Published2024
Admission routes1
Has abstractyes

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