Sci‐Fri PM: Planning‐08: Zero diffusion radiochromic genipin‐gelatin dosimeter
Bibliographic record
Abstract
PURPOSE: To develop a zero diffusion radiochromic hydrogel by cross-linking gelatin polymers with genipin, for three-dimensional (3-D) radiation dosimetry. METHOD AND MATERIALS: Gelatin and genipin were dissolved in distilled water and continuously stirred at 40C for thee hours and then sulfuric acid was acid prior to placing gel in containers. Concentrations of genipin, gelatin and sulfuric acid were varied to determine the optimal gel sensitivity for optical computed tomography (CT). Photon beams (4 MV x-rays, 1×1, 2×2, 3×3 cm) irradiated a 10 cm diameter cylinder of gel. Using a cone beam optical CT scanner at λ = 590 nm, zero diffusion was observed by recording sequential 3D scans separated by 18 hours. Additional evidence was provided by sequential transmission photographs of a cuvette containing a sample that had been exposed to a 0.8 mm diameter, 1 mW, 594 nm, He-Ne laser beam and photobleached. RESULTS: Radiochromic bleaching is a fast process, complete within seconds of termination of irradiation. Dose sensitivity increases with cross- linking density and sulfuric acid concentration. The initial optical density limits dose sensitivity, requiring approximately 30 Gy for 10 cm diameter samples to have reasonable contrast. More sensitive but darker gels require smaller samples. A comparison of profiles through 3D reconstructed dose distribution showed identical profiles for a time interval of 18 hours. Visually the sample maintained this image for six months when stored at 4C in a dark refrigerator. Transmission photographs of the laser beam image recorded by photobleaching remained constant when stored a 23 C in the dark for ten months. CONCLUSION: Radiochromic genipin gelatin gels form a permanent and stable image when protected from bright visible light. This result is a new, non-toxic material for 3D dosimetry.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.006 |
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".