Impacts of malt protein removal on yeast fermentation efficiency
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.
Bibliographic record
Abstract
The effects of malt protein removal by Neutrase using Canadian and French commercial malts (Malt 1 and Malt 2) on mashing efficiency, and production of violate compounds during fermentation were determined using high performance liquid chromatography (HPLC), headspace-solid-phase microextraction coupled with gas chromatography-mass spectrometry analysis (HS-SMPE-GC-MS). HPLC results showed that for Malt 1 containing lower free- and total-β-amylase but higher α-amylase enzyme activity, Neutrase significantly increased the content of maltose, glucose and maltotriose, whereas for Malt 2, only glucose content increased. For Malt 1, the increased glucose/maltose ratio after Neutrase addition led to higher ethanol concentration than that with no Neutrase (4.06% vs. 2.09%), whereas for Malt 2, no significant differences were observed (2.92% vs. 3.09%). HS-SPME-GC-MS showed that for Malt 1 and Malt 2, Neutrase not influenced the violate compounds composition, whereas reduced their contents. This suggests that malt protein removal by Neutrase impairs the production of volatile compounds.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it