Simultenous Voltammetric Detection of Acetaminophen and Tramadol using Molybdenum Tungsten Disulfide-Modified Graphite Screen-Printed Electrode
Bibliographic record
Abstract
Nanopetal-structured molybdenum tungsten disulfide (MTD) have been successfully synthesized and applied as a very good modifier for constructing a new and strongly sensitive electro-chemical sensing ground for concurrent detection of two crucial pain reliever medicines, acetaminophen and tramadol. XRD, EDX and SEM have been employed for characterizing synthesized nanoparticles. A comprehensive examination by electro-chemical techniques, including differential pulse voltammetry (DPV) and cyclic voltammetry (CV) has been conducted for clarifying electro-catalytic features of nanopetals by modify graphite screen printed electrode (SPE). Under the optimal condition, the MTD/SPE provided linearly responses in range between 0.04-600.0 and little determination limit of 12.0 nM for acetaminophen. Accurate and sensitive concurrent detection of acetaminophen and tramadol in biological samples and medicine formulations validated the suggested sensor reliability.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".