New Method for Analyzing Tyramine by Spectrofluorimetry: Application to Fish
Bibliographic record
Abstract
A new method for direct spectrofluorimetric analysis of tyramine in various fish samples was established. Low limits of detection (LOD) between 0.53 ng/mL and 1.40 ng/mL and limits of quantification (LOQ) between 1.76 ng/mL and 4.68 ng/mL were obtained. Also, low values of relative standard deviations (RSD) between 0.30 % and 0.58 % were obtained; confirming good reproducibility of our measurements. The application of this method to our samples allowed the detection of tyramine with satisfactory recovery rates between 93.68 % and 106.60 %. Interference studies with different biogenic amines have shown that the determination of tyramine can be done without major problems in the presence of spermine, spermidine, and histamine. However, special attention should be paid when tyramine is determined in the presence of agmatine, cadaverine or putrescine. In all cases, the determination of tyramine is more influenced by the presence of tryptamine or dopamine in the sample.
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 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".