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Record W2765382576 · doi:10.47339/ephj.2017.85

Methods for cleaning & sanitizing food contact surfaces (countertops) to prevent cross contamination in restaurant kitchens

2017· article· en· W2765382576 on OpenAlexfundvenueno aff
Laura Matthewson, Environmental Health BCIT School of Health Sciences, Helen Heacock

Bibliographic record

VenueBCIT Environmental Public Health Journal · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood Safety and Hygiene
Canadian institutionsnot available
FundersBritish Columbia Institute of Technology
KeywordsHand sanitizerHand washingFood preparationContaminationWashing handsEnvironmental healthHygieneMedicineFood safety

Abstract

fetched live from OpenAlex

Background: Cross contamination can occur in restaurant kitchens when food contact surfaces such as countertops are inadequately cleaned between preparation of raw and ready to eat foods. Previous research has demonstrated that washing with detergent and water, rinsing, then applying a sanitizer solution is the most effective cleaning method. The second most effective cleaning method is to use detergent and water alone. In practice, the author has observed kitchen staff using sanitizer alone to clean kitchen countertops. This study surveyed British Columbia restaurant kitchen staff on current practices and makes recommendations to improve cleaning and sanitization practices for the purpose of preventing cross contamination. Methods: A survey was prepared using SurveyMonkey and distributed through Facebook to the author’s contacts in the restaurant industry. The Facebook post included a request for anyone to share the survey link with their contacts who work in BC restaurant kitchens. The survey was shared 21 times by 14 different people. The survey asked questions about restaurant type and position, Foodsafe level, and about cleaning practices such as frequency and cleaning compounds used. Results: When asked what cleaning compounds are most often used to clean work surfaces (countertops) in their restaurant, 56.5% of respondents reported sanitizer solution only, 30.4% of respondents reported soap & water followed by sanitizer solution, and 13.0% reported soap and water only. When asked why sanitizer solution only was used to clean countertops, 46.2% of respondents said it was company policy, 23.1% of respondents said time savings, and 15.4% of respondents indicated that an Environmental Health Officer had recommended sanitizer use and that is what lead to sanitizer alone being used to clean countertops. Conclusions: In practice, some restaurant staff do not use sanitizer effectively and may believe it is a substitute for detergent. Using sanitizer alone is not as effective as using detergent alone. Detergent alone can provide a 2-3 log bacterial reduction. If staff are busy and are only going to use one cleaning step, detergent alone is the best method. Environmental Health Officers should review sanitation plans and talk with operators to determine current cleaning practices in food service establishments. Operators and staff should be re-educated on the importance of the three-step method. It may be beneficial to recommend that sanitizer use be decreased overall to encourage the use of soap and water. It may only be necessary to use sanitizer after high-risk jobs such as preparing raw meat or at the end of the day.

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 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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.913
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0010.001
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 head0.118
GPT teacher head0.379
Teacher spread0.261 · 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 teacher head, not a consensus.

Study designOther design
Domainnot available
GenreEmpirical

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

Citations2
Published2017
Admission routes2
Has abstractyes

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