Decomposition of Thimerosal and Dynamics of Thiosalicylic Acid Attachment on GaAs(001) Surface Observed with in Situ Photoluminescence
Bibliographic record
Abstract
The decomposition dynamics of thimerosal in phosphate-buffered saline (PBS) solution was monitored using in situ measurements of photoluminescence (PL) from GaAs(001) substrate. The intensity of the GaAs PL peak is modulated by the presence of thimerosal, resulting in a characteristic PL maximum observed after ∼5h from the onset of the experiment. We interpret this result as a competition between the formation of PBS-related nonradiative recombination centers on the surface of GaAs and passivation of the GaAs surface by thiosalicylic acid (TSA) reacting with As and Ga atoms of the substrate. The amplitude of the TSA PL maximum was found to depend on the concentration of thimerosal in PBS. The decomposition of thimerosal was also verified with UV−vis optical absorption measurements. The presence of the decomposition products, TSA and ethyl mercuric chloride, on the GaAs(001) substrate was demonstrated with X-ray photoelectron spectroscopy measurements. The results indicate that the investigated method has the potential to provide a practical means for rapid detection of thimerosal in some pharmaceutical products.
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 | 0.000 | 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".