Determination of substance P in rat spinal cord by high‐performance liquid chromatography electrospray quadrupole ion trap mass spectrometry
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
Substance P is a neuropeptide that belongs to the tachykinin neuropeptide family. It is an 11-amino acid polypeptide with the amino acid sequence: Arg-Pro-Lys-Pro-Gln-Gln-Phe-Phe-Gly-Leu-Met. It is synthesized as a larger protein and then enzymatically converted into the active undecapeptide. Substance P is widely distributed in the central and peripheral nervous systems. In the central nervous system, substance P participates in various behavioral responses and in regulating neuronal survival and degeneration. In the spinal cord, substance P participates in neurotransmission of pain and modulates autonomic reflexes. A rapid and selective method was developed for the determination of substance P concentration in rat spinal cord. The method consisted of a tissue homogenization, dilution, centrifugation and analysis by full-scan liquid chromatography electrospray quadrupole ion trap mass spectrometry (LC-ESI-QIT). The separation was achieved using a 50 x 2.1 mm C(18) analytical column combined with a gradient mobile phase composed of methanol: 0.1% formic acid in water set at a flow rate of 0.2 mL/min. An analytical range of 10-500 pmol/g was tested to analyze rat spinal cord. The LOD observed was 10 fmol injected on column. The novel method met all requirements of specificity, sensitivity, linearity, precision, accuracy and stability. In conclusion, a rapid and sensitive LC-ESI/MS/MS method was developed to identify and quantify substance P in rat spinal cord.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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