Solid-contact polyvinyl chloride membrane electrode based on the bis[(2-(hydroxyethylimino)phenolato]copper(II) complex for trace level determination of copper ions in wastewater
Bibliographic record
Abstract
A miniaturized solid-contact polyvinyl chloride membrane electrode based on the bis[(2-(hydroxyethylimino)phenolato]copper(II) complex has been prepared for the determination of Cu(II) ion in real samples. The influence of coating membrane composition, pH, and possible interfering cations on the response of the ion-selective electrode was investigated. A number of membranes at different compositions were prepared and their Cu2+ sensing capabilities were investigated. The best results for Cu2+ sensing was obtained for the electrode membrane containing ionophore − 2-nitrophenyloctyl ether – polyvinyl chloride and potassium tetrakis(p-chlorophenyl)borate in a ratio of 4:65:30:1 (w/w, mg), respectively. The prepared electrode exhibited a near-Nernstian response (28.3 mV/decade) to Cu2+ in the concentration range from 1.0 × 10−6 to 1.0 × 10−1 mol/L with a limit of detection of 8.3 × 10−7 mol/L. The potentiometric response of the electrode was independent from the pH of the test solution in the pH range of 3.0–6.0. The electrode has a very short response time, about 15 s, and it can be used over a period of 3 months without any divergence in potential. The electrode has been successfully applied as an indicator electrode in potentiometric titration of Cu(II) ions with ethylenediaminetetraacetic acid and in the determination of Cu(II) in wastewater of the copper processing industry.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".