Electrochemical-Surface Enhanced Raman Spectroscopic (EC-SERS) Study of 6-Thiouric Acid: A Metabolite of the Chemotherapy Drug Azathioprine
Bibliographic record
Abstract
6-Thiouric acid (6-TUA) has the potential to be an important biomarker for the action of 6-mercaptopurine (6-MP), an immunosuppressive drug used in patients suffering from acute lymphoblastic leukemia (ALL). 6-TUA, a nonactive metabolite of 6-MP, is excreted in the urine, and routine monitoring of this metabolite can be useful in assessing the efficacy of 6-MP for immune system suppression in patients who have undergone stem cell replacement. In this work, electrochemical surface-enhanced Raman spectroscopy (EC-SERS) is used for the first time to study the adsorption and electrochemical behavior of 6-TUA at a nanostructured silver electrode surface, in both 0.1 M NaF and synthetic urine as supporting electrolytes. In addition, ab initio calculations were completed in an effort to understand the adsorption behavior. It was found that EC-SERS provided excellent signal for 6-TUA down to μM concentrations in synthetic urine and highlights the future potential of EC-SERS for rapid detection of important urine biomarkers at the patient point-of-care.
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How this classification was reachedexpand
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".