Toxicity of Metal Oxide Nanoparticles due to Redox Properties as Determined by Cyclic Voltammetry
Bibliographic record
Abstract
This study focused on the electrochemical characterization of transition metal oxide nanoparticles (TMONPs) towards a better understanding of the mechanisms of their toxicity.Screen-printed electrodes (SPEs) were coated with TMONPs in the working area by drying 150 μL of aqueous suspension.Using cyclic voltammetry (CV), the redox properties of TMONPs were investigated with an electrochemical probe (3 mM sodium metabisulfite) in a supporting electrolyte (1.0 M potassium chloride) solution.A linear relationship was established between the anodic oxidation peak current (Ipa) produced by the probe and the mass of TMONPs residue.This CV method was further developed to facilitate the toxicity risk assessment of TMONPs due to their oxidizing properties by evaluating other electrochemical probes that are either reducing agents or antioxidants.All findings promise useful in-situ screening analysis of environmental water samples contaminated by TMONPs, especially to facilitate the risk assessment of oxidative toxicity.
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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".