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Record W2491370664 · doi:10.1021/bk-2009-1020.ch011

Detection and Confirmation of Food Allergen using Mass Spectrometric Techniques: Characterization of Allergens in Hazelnut using ESI and MALDI Mass Spectrometry

2009· book-chapter· en· W2491370664 on OpenAlexaff
Dorcas Weber, Gustavo Alberto Polenta, Benjamin P.‐Y. Lau, Samuel Benrejeb Godefroy

Bibliographic record

VenueACS symposium series · 2009
Typebook-chapter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicIdentification and Quantification in Food
Canadian institutionsHealth Canada
Fundersnot available
KeywordsOleosinChromatographyChemistryAllergenMass spectrometryTrypsinPlant lipid transfer proteinsGlycoproteinBiochemistryBiologyEnzyme

Abstract

fetched live from OpenAlex

Mass spectrometric techniques were used to identify and characterize allergens in a hazelnut protein extract either directly in solution or after separation on 1D and 2D gels. Five major proteins were identified including Cor a 8 (Lipid transfer protein precursor), Cor a 1, Cor a 9 (11S globulin-like protein), Cor a 11 (48 kDA glycoprotein precursor) and Oleosin. The protein extract was either digested with trypsin followed by analysis using electrospray and MALDI for peptides, or the intact proteins were analyzed directly with MALDI. Complementary results were obtained from both methods. A new data acquisition method using alternating low and high energy acquisition was also investigated.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.009
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.017
GPT teacher head0.233
Teacher spread0.216 · 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

Citations3
Published2009
Admission routes1
Has abstractyes

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