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Record W1856021980 · doi:10.1139/cjce-2013-0319

Inactivation of<i>Bacillus</i>spores in decontamination wash down wastewater using chlorine bleach solution

2013· article· en· W1856021980 on OpenAlexvenueno aff
Nur Muhammad, Vicente J. Gallardo, Donald A. Schupp, E. Radha Krishnan, K. Scott Minamyer, Eugene W. Rice

Bibliographic record

VenueCanadian Journal of Civil Engineering · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBacillus and Francisella bacterial research
Canadian institutionsnot available
FundersOffice of Research and DevelopmentU.S. Environmental Protection Agency
KeywordsBleachHuman decontaminationSodium hypochloriteSporeWastewaterBacillus anthracisHypochloriteChlorinePulp and paper industryChemistryBacillus (shape)Waste managementMicrobiologyChromatographyEnvironmental engineeringEnvironmental scienceBiologyBacteriaInorganic chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Bacillus anthracis spores are highly resistant to disinfection. The effectiveness of sodium hypochlorite (bleach) solution for the inactivation of Bacillus atrophaeus subspecies globigii spores (a surrogate for Bacillus anthracis) in wash down wastewater was evaluated by a series of bench-scale and pilot-scale experiments. The wastewater was generated from a simulated decontamination of interior laboratory surfaces and personal protective equipment. A concentration of approximately 5% (v/v) bleach solution was adequate for a ≥7 log10inactivation of Bacillus spores spiked in wastewater after 10 min of contact time at room temperature. This sodium hypochlorite dose is less than the U.S. National Response Team-recommended formulation of 10% (v/v) bleach solution with 10% (v/v) vinegar. For the wash down waters evaluated, the addition of vinegar was not required. Inactivation of Bacillus spores was faster when a detergent was added to the wash down waters tested.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

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

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 head0.009
GPT teacher head0.205
Teacher spread0.196 · 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 designBench or experimental
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

Citations3
Published2013
Admission routes1
Has abstractyes

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Same venueCanadian Journal of Civil EngineeringSame topicBacillus and Francisella bacterial researchFrench-language works237,207