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Record W1973406198 · doi:10.1080/09540105.2011.608121

Double antibody sandwich enzyme linked immunoassay and rapid Immunoswab assay for detection of gliadin in food

2011· article· en· W1973406198 on OpenAlexafffund
Hoon H. Sunwoo, Naiyana Gujral, S. Lutz, Mavanur R. Suresh

Bibliographic record

VenueFood and Agricultural Immunology · 2011
Typearticle
Languageen
FieldMedicine
TopicCeliac Disease Research and Management
Canadian institutionsAgriculture Food and Rural DevelopmentUniversity of Alberta
FundersAlberta Livestock and Meat AgencyUniversity of Alberta
KeywordsGliadinAntibodyChemistryImmunoassayChromatographyDetection limitYolkMonoclonal antibodyMolecular biologyEnzymeGlutenBiochemistryBiologyImmunologyFood science

Abstract

fetched live from OpenAlex

Celiac (gluten intolerant) sprue is a life-long threatening disease. The only effective treatment thus far is to maintain a gluten-free diet. Sensitive and reliable double antibody sandwich enzyme-linked immunosorbent assay (ELISA) and Immunoswab assay were developed by using chicken egg yolk anti-gliadin immunoglobulin Y as capturing antibody and monoclonal anti-gliadin IgG (HYB-314) antibody as detecting antibody for the detection of gliadin. The detection limits of the double antibody sandwich ELISA and Immunoswab assay were 5 ng/ml in phosphate buffered saline and 1.25 µg/ml in 60% ethanol, respectively. The Immunoswab was a more convenient and rapid detection system, but was less sensitive as compared to the double antibody sandwich ELISA developed.

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)0.002
metaresearch head score (Gemma)0.002
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: none
Teacher disagreement score0.002
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.026
GPT teacher head0.266
Teacher spread0.240 · 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

Citations9
Published2011
Admission routes2
Has abstractyes

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