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Record W2081915050 · doi:10.1094/asbcj-2007-0403-01

Development of a LC/MS Method for Analysis of Total Vicinal Diketones in Beer

2007· article· en· W2081915050 on OpenAlex
Maxime Blanchette, Barry van Bergen, John D. Sheppard

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

VenueJournal of the American Society of Brewing Chemists · 2007
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFermentation and Sensory Analysis
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsChemistryDiacetylDecarboxylationChromatographyValineIsotope dilutionIsoleucineMass spectrometryLeucineAmino acidOrganic chemistryBiochemistry

Abstract

fetched live from OpenAlex

A liquid chromatography/mass spectrometry (LC/MS) method was developed for the simultaneous determination of vicinal diketones (VDK), diacetyl and pentanedione, in beer. Diacetyl and pentanedione were derivatized with o-phenylenediamine (OPDA) to form quinoxaline compounds. Total VDK were measured directly over a concentration range of 10 μg/L to 10 mg/L with less than 10% variation. The reaction of VDK with OPDA was studied to optimize reaction time. Decarboxylation of the diacetyl precursor α-acetolactate was evaluated using two decarboxylation techniques. Attempts to simultaneously determine the amino acids leucine, isoleucine, and valine as well as the VDK in beer were successful, but only for amino acid concentrations up to 10 mg/L. Because levels of amino acids found in wort are generally higher than this, sample dilution and separate injections were required. Samples were collected from a local commercial brewery and analyzed for total VDK to further evaluate the method's practical application.

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)0.001
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 score0.478
Threshold uncertainty score0.121

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
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 head0.033
GPT teacher head0.322
Teacher spread0.289 · 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