FI-CHEMILUMINESCENCE DETERMINATION OF GLUTAMIC ACID
Bibliographic record
Abstract
It was found that in an alkaline medium of pH 10.5, the chemiluminescence emitted by the reaction between potassium thiocyanate and luminol is sensitized by the presence of glutamic acid, and that the magnitude of enhanced sensitivity keeps a linear relationship with the concentration of glutamic acid in the range of 0.01～1.0μg·ml~(-1). Based on these facts and in combination with the flow-injection technique, a new FI-chemiluminescence method for the determination of glutamic acid is proposed, and the FI-manifold is also designed and fabricated. By this installation, glutamic acid in leather scraps is determined rapidly and simply, giving a detection limit of 0.01μg·ml~(-1) and sampling frequency of 190 sample per hour. RSD′s found by 10 successive determination of glutamic acid at the concentration level of 5μg·ml~(-1) is 1.2%. The results obtained by this installation checked very well with those obtained by the amino-acid determinator.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
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".