A simplified low volume colorimetric assay for rapid comparison of cyanogenic glycoside production between barley genotypes
Bibliographic record
Abstract
Abstract Ethyl carbamate (EC), a genotoxic and carcinogenic compound, is an undesirable trace component in spirits and whisky. The precursor of EC produced from barley (Hordeum vulgareL.) malt is primarily a cyanogenic glycosidic nitrile (GN) known as epiheterodendrin (EPH). EPH production is genetically controlled in barley, low or non-GN varieties exist and EPH production can be controlled by using low or non-GN barley varieties for malt production. Here, we report on a rapid and inexpensive colorimetric assay modified from Cook and Oliver (in: European Brewery Convention (eds) Proceedings of the 23rd Congress, Lisbon. European Brewery Convention, Zoeterwoude, Netherlands, 1991). The new low-volume, high-throughput, semi-quantitative test method can be used for the selection of low or non-GN breeding lines through samples of acrospires. This method is based on the detection of cyanide by the reaction with chloramine-T followed by the addition of the reagent (pyridine-barbituric acid) to form a soluble violet-blue product measured at 590 nm. Absorbance measurements and the visual color are used to estimate the presence of EPH production in acrospires. In this report, the level of EPH production was compared among some commercial European non-GN lines, Canadian malt varieties and advanced barley breeding lines.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".