Magnesium Oxide NPs Carbon Paste Ion-Selective Electrode Industrialization and Potentiostat Cyclic Voltammetry Detections for Determination of Mg+Ion in Various Solutions
Bibliographic record
Abstract
A modified ion-selective electrode with graphene powder and Magnesium Oxide Nanoparticles, a newform highly sensitive paste and selective to electron motion in redox process by cyclic voltammetry Potentiostat technical applied.A sol-gel bottom-up nanoparticle synthase method used to prepare MgO-NPs, SEM and XRD appear 18 nm average particles size, carbon powder with paraffine oil drops and MgO-NPs mixed to form homogenous black paste.Full one end glass cylinder with 0.4 r2 dimeter with copper wire to form a working electrode, plamSens 4 Potentiostat cyclic voltammetry used to motion redox processing in cell reaction by link calomel reference electrode and platinum wire axillary electrode and working electrode.0.1 v/s, ( 2E) V parameters select, (10-100 ppm) standard and working Magnesium solutions a trace concentration used in this study.Epa/Epc > 200 V with hydrogen over potential refer to a reversable CV mechanism, kinetic and thermodynamic were study with (293-333) K the negative signal shifting in cyclic voltammograms, Randles-Sevcik equation used to found Diffusion coefficient equal 3.6 × 10-5, and rate constant, calibration curve range 1.2 × 10 -3 and 10 ~ 100 ppm respectively.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".