Synthesis of NiO/CNTs Nanocomposite by Direct Chemical Precipitation Method for Preparation of Voltammetric Sensor in Acetaminophen Analysis
Bibliographic record
Abstract
Although acetaminophen is a widely used analgesics and antipyretic drug, its overdose leads to many complications. Therefore, determining the correct dose of produced or imported drugs in clinical laboratories or a standard laboratory is essential. Different analytical methods, for example chromatography, spectroscopy and electrochemistry, can be utilized to determine the correct dose of acetaminophen. However, it is believed that electrochemical methods are more efficient due to their fast response and low cost. In this study, we synthesized NiO/CNTs nanocomposite by a direct chemical precipitation method for acetaminophen analysis using a voltammetric sensor. A chemical precipitation method was used for synthesis of NiO/CNTs nanocomposite in the nanoscale. The synthesis of nanopowder was investigated using scanning electron microscopy (SEM) and X-ray powder diffraction. The obtained result confirms the synthesis of nanocomposite with chemical precipitation method with ~35.5 nm diameter for NiO nanoparticle, as established by the Scherrer equation. The results show that the synthesized nanocomposite can modify a carbon paste electrode as a sensor for the analysis of acetaminophen.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".