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Record W4223966466 · doi:10.1111/jam.15581

Container material dictates stability of bacteriophage suspensions: Light scattering and infectivity measurements reveal mechanisms of infectious titre decay

2022· article· en· W4223966466 on OpenAlexfundno aff
Larry O’Connell, Yoann Roupioz, Pierre R. Marcoux

Bibliographic record

VenueJournal of Applied Microbiology · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicBacteriophages and microbial interactions
Canadian institutionsnot available
FundersAgence Nationale de la RechercheLABoratoires d’EXcellence ARCANEUniversité Laval
KeywordsBacteriophageBovine serum albuminTiterBiophysicsChemistrySuspension (topology)InfectivityDynamic light scatteringIncubationMicrobiologyMaterials scienceNanoparticleChromatographyBiologyNanotechnologyBiochemistryVirologyVirusEscherichia coliMathematics

Abstract

fetched live from OpenAlex

AIMS: To measure the infectious titre (IT) decay rate for various bacteriophages as a function of storage container material. Additionally, parallel light scattering and infectious titre measurements reveal distinct mechanisms for IT loss, depending on phage. METHODS AND RESULTS: loss in glass and low-binding polypropylene. Incubation of polymer containers with Bovine Serum Albumin (BSA) resulted in a consistent reduction in IT decay. Aggregation state of phage suspensions was studied by nanoparticle tracking analysis (NTA), revealing highest aggregation in glass-stored suspensions and lowest after storage in BSA-treated containers. CONCLUSIONS: Glass and 'low-binding' containers may aggravate IT decay while BSA treatment may present an easy mitigation strategy. IT versus NTA titre diagrams highlight the importance of phage inactivation in combination with aggregation. SIGNIFICANCE AND IMPACT OF THE STUDY: Container material is a significant determinant of bacteriophage IT decay. It is therefore essential to confirm IT following storage and tailor choice of phage storage containers accordingly. Aggregation of phages and adsorption onto labware surfaces are not only the mechanisms accounting for IT loss but also biological instability.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.017
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0030.000

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 head0.010
GPT teacher head0.211
Teacher spread0.202 · 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 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

Citations10
Published2022
Admission routes1
Has abstractyes

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