A quantitative GC‐MS method for three major polyamines in postmortem brain cortex
Bibliographic record
Abstract
A quantitative method for putrescine (PUT), spermidine (SPD) and spermine (SPM) in homogenized postmortem human brain tissue is described that employs a novel, simple and rapid extractive derivatization with ethylchloroformate and trifluoroacetylation. These amines are metabolites of ornithine and are metabolically interconvertible in mammals. The method was developed to support an ongoing epidemiological study correlating these amines with the frequency of suicide. The isolation methodology is robust and requires less work and time than many previous methods. Analysis is by conventional electron ionization GC-MS with selected ion monitoring using a stable isotope-labeled analog for PUT and a chemical analog for SPD and SPM as internal standards. The time required for chromatographic analysis, about 20 min, is determined by the wide range of the relative volatilities of the derivatized polyamines. The method allows the quantitation of PUT down to 10 ng/g and SPD and SPM down to 100 and 1000 ng/g, respectively of wet tissue.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".