MétaCan
Menu
Back to cohort
Record W2005653607 · doi:10.1080/09540100120094492

Production of Antibodies against Enterocin B for Immunological Detection and Purification Purposes

2001· article· en· W2005653607 on OpenAlexfundno aff
Natisha L. Rose, Peter Sporns, Lynn M. McMullen

Bibliographic record

VenueFood and Agricultural Immunology · 2001
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicProbiotics and Fermented Foods
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Alberta
KeywordsPolyclonal antibodiesAntibodyChemistryBovine serum albuminAffinity chromatographyBifunctionalElutionBiochemistryChromatographyMolecular biologyBiologyEnzyme

Abstract

fetched live from OpenAlex

Polyclonal antibodies were generated against the bacteriocin enterocin B by conjugating enterocin B (ENT) to bovine serum albumin (BSA) through a bifunctional crosslinking agent. Rabbits immunized with the ENT-BSA conjugates developed antibodies specific for enterocin B. Non-competive indirect (NCI) ELISAs were able to detect the presence of enterocin B in the supernatant of a producer strain and from a partially-purified sample. Competitive indirect (CI) ELISAs demonstrated concentrations of enterocin B ranging from 400-1600 ng ml−1 were required for 50% antibody binding inhibition. An immunoaffinity chromatography column was developed by linking the antibodies to CNBr-activated Sepahrose 4B. The purification method yielded pure enterocin; however, the harsh elution conditions did not render a regeneratable column.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.017
GPT teacher head0.208
Teacher spread0.191 · 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

Citations6
Published2001
Admission routes1
Has abstractyes

Explore more

Same venueFood and Agricultural ImmunologySame topicProbiotics and Fermented FoodsFrench-language works237,207