MétaCan
Menu
Back to cohort
Record W2024879253 · doi:10.1021/ac100325f

Detection of <i>Escherichia coli</i> O157:H7 Using Gold Nanoparticle Labeling and Inductively Coupled Plasma Mass Spectrometry

2010· article· en· W2024879253 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueAnalytical Chemistry · 2010
Typearticle
Languageen
FieldEngineering
TopicBiosensors and Analytical Detection
Canadian institutionsUniversity of Alberta
FundersCanadian Institutes of Health Research
KeywordsEscherichia coliChemistryInductively coupled plasma mass spectrometryMass spectrometryBacteriaSerotypeChromatographyColloidal goldDetection limitEnterobacteriaceaeContaminationImmunoassayMicrobiologyNanoparticleAntibodyBiochemistryNanotechnologyBiology

Abstract

fetched live from OpenAlex

O157:H7 is a serotype of enterohemorrhagic Escherichia coli (EHEC) and one of the major causes of food-borne illness. Protection of food safety against bacterial contamination and rapid diagnosis of infection require simple and fast assays for detection of bacterial pathogens, including E. coli O157:H7. We describe here a rapid and sensitive assay for the E. coli O157:H7 bacteria by using antibody affinity binding, gold nanoparticle (Au NP) labeling, and inductively coupled plasma mass spectrometry (ICPMS) detection. Taking advantage of the signal amplification property of Au NPs and the high sensitivity of ICPMS, the assay was able to detect as few as 500 E. coli O157:H7 cells in 1 mL of sample (500 CFU/mL). Tests with nonpathogenic E. coli (DH5alpha, AlphaTauCC35218, and ATCC25922) showed high specificity of the assay for E. coli O157:H7. Each assay was completed within 40 min. Demonstration of this assay for E. coli O157:H7 suggests its potential for detecting a variety of bacterial pathogens.

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.

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)0.000
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 score0.410
Threshold uncertainty score0.691

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.009
GPT teacher head0.210
Teacher spread0.201 · 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