Trace Determination of Lead and Cadmium using Graphene/[Ru(NH3)6]3+/Nafion Modi-fied Glassy Carbon Electrodes
Bibliographic record
Abstract
Graphene/[Ru(NH3)6]3+/nafion modified glassy carbon electrodes were fabricated using the drop coating technique. The fab-ricated electrodes were characterized using scanning electron microscopy (SEM) and cyclic voltammetry (CV). Simultaneous detection of lead (Pb2+) and cadmium (Cd2+) was done via anodic stripping voltammetry (ASV). The effects of varying the amounts of graphene and [Ru(NH3)6]3+ on the transport and sensing properties of the modified electrodes were determined. SEM results showed that the deposited films were smooth and uniform. CV results showed that the peak currents increase monotonically with the amounts of graphene and [Ru(NH3)6]3+. ASV results showed that modification of the GCE with graphene, [Ru(NH3)6]3+ and Nafion greatly enhanced the electrode’s sensitivity in detecting Pb2+ and Cd2+. This can be attributed to the high surface area-to-volume ratio of graphene, the mediation of elec-tron transfer by [Ru(NH3)6]3+ and the antifouling and cationic exchange capabilities of Nafion. The highest peak current for both Pb2+ and Cd2+ were obtained from the electrode modified with 1.5 mg [Ru(NH3)6]3+ and 3.0 mg graphene. A linear relationship between the peak current and metal concentration was obtained in the range of 1.4 ppb to 20 ppb for both Pb2+ and Cd2+ with a detection limit of 1.4 ppb. The modified electrodes were successful in detecting Cd2+ in real water samples. ASV results were verified using atomic absorption spec-troscopy.
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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) | 0.001 | 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) | 0.000 | 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".