Hydroperoxide characterisation as a signature of the micelle/monomer balance in radiation-induced peroxidation of arachidonate
Bibliographic record
Abstract
Archidonate peroxidation has been studied using HO* radicals radiolytically generated as initiators of this process. Irradiated aqueous solutions of arachidonate (between 0.01 and 25 mM at pH 10.5) have been characterised by means of conjugated dienes measurement (234 nm-absorption spectroscopy) and hydroperoxide detection (high-performance liquid chromatography coupled with a chemiluminescence detection). Radiation-induced peroxidation of arachidonate gives a different trend of peroxide products, depending on the degree of substrate interaction; endoperoxide and hydro-endoperoxide being favored at low concentrations (monomer/oligomer) and monohydroperoxide at high concentrations (micellar form). The experimental ratios G(Hydro2)/G(Hydro1) increase significantly only for arachidonate concentrations higher than 1 mM, i.e. in micellar medium. However, between 0.1 and 1?mM in arachidonate, G-values (for conjugated dienes, Hydro2 and Hydro1) remain nearly constant, meaning that the physical arrangement of the solution changes: Aggregation occurs. The experimental yields of conjugated dienes formation indicated that GDienes > GHO for [arachidonate]>2.5 mM, indicating that a chain propagation process had occurred. Radiolytic yields and structural identification (HPLC-MS analysis) of peroxidation products allowed us to propose a mechanism for the formation of both hydroperoxides.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".