MétaCan
Menu
Back to cohort
Record W4367173680 · doi:10.1002/anse.202300020

Detecting <i>Legionella pneumophila</i> in Cooling Tower Water Samples with a DNAzyme/Bead‐Based Fluorescence Assay

2023· article· en· W4367173680 on OpenAlexafffund
Shuwen Qian, Erin M. McConnell, Meghan Rothenbroker, Jimmy Gu, Simina Alungulesa, Louis Godbout, Yingfu Li

Bibliographic record

VenueAnalysis & Sensing · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicLegionella and Acanthamoeba research
Canadian institutionsMcMaster University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsLegionella pneumophilaDeoxyribozymeCooling towerMicrobiologyBeadAgaroseChemistryDetection limitChromatographyBiotinylationMaterials scienceBiologyWater coolingBacteriaBiochemistryPhysics

Abstract

fetched live from OpenAlex

Abstract Legionella pneumophila is the causative agent behind the deadly waterborne disease Legionnaires’, which is commonly transmitted by the spread of contaminated droplets from cooling tower water samples. The lack of effective detection methods presents a challenge for L. pneumophila outbreak control. Previously, an RNA‐cleaving DNAzyme called LP1 was reported to specifically target L. pneumophila . In this study, LP1 was immobilized onto agarose beads via streptavidin‐biotin interaction to develop a bead‐based fluorescence assay for L. pneumophila detection. This bead‐based assay demonstrated excellent stability and functionality in various cooling tower water samples. To improve L. pneumophila monitoring in real‐world samples, a lysozyme treatment was used to enhance L. pneumophila recognition. The limit of detection of this DNAzyme‐based bead assay can reach 10 3 CFUs in cell‐spiked cooling tower water samples without cell culturing or signal amplification steps.

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 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 score0.050
Threshold uncertainty score0.652

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.019
GPT teacher head0.263
Teacher spread0.244 · 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.

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
Published2023
Admission routes2
Has abstractyes

Explore more

Same venueAnalysis & SensingSame topicLegionella and Acanthamoeba researchFrench-language works237,207