SU-FF-T-356: Preliminary Investigations of a Leucomalachite Green Hydrogel for Three-Dimensional Radiation Dosimetry
Bibliographic record
Abstract
Purpose: To develop a radiochromic hydrogel dosimeter based on the conversion reaction of leuco-triphenyl-methane dye to coloured dye. Method and Materials: A systematic examination of surfactants revealed that Triton X-100 provided adequate solubility to keep leucomalachite green dissolved in 4% gelatin hydrogels. The gel dose response was increased by lowering the pH and by adding trichloroacetic acid. A cylindrical one litre volume sample was irradiated with a 12 MeV electron beam (Varian Clinac 2100C) to a dose of 30 Gy and scanned with a commercial optical cone beam CT scanner (Vista™, Modus Medical Devices Inc.). Results: The most radiation sensitive gel formulation contained: 4% gelatin, 6 mM Triton X-100, 15mM trichloroacetic acid and 0.1 mM leucomalachite green. A dose response of 0.005 cm−1Gy−1 was determined from irradiation of gel-filled 1 cm pathlength polymethymethacrylate cuvettes and measurement of the optical attenuation improved at a wavelength equal to 633 nm. Comparison of the central axis gel attenuation coefficients normalized at depth of maximum dose (dmax) with TG21-corrected ion chamber data, demonstrated agreement in the buildup region up to dmax. However, the gel over-responded at greater depths. Conclusion: Leuco dyes can be dissolved to provide transparent, colourless hydrogels by employing surfactants such as Triton X-100. The current gel formulation has a dose response approximately 20 times lower than the ferrous xylenol orange system. It is suggested that photochemistry arising from the UV light generated by the Triton X-100 scintillation fluorescence and the Cerenkov process are possible causes of a radiochromic artifact measured with electron beams. Conflict of Interest: Two of the authors (KJ, JB) have a licensing agreement with Modus Medical Devices Inc. concerning the commercialization of Vista™.
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 | 0.000 |
| 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) | 0.001 | 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".