Degradation of Ethylene Diaminetetra Acetic Acid With Ferrous Ions Using Fenton’s Reagent in Absence of Light
Bibliographic record
Abstract
Accumulation of deposit corrosion products inside secondary side of steam generator can lead to serious issue for pressurized water reactor in operation.One way to avoid accumulation of these deposits is to perform chemical cleaning which removes certain amount of deposits but this kind of operation generates high amount of liquid waste which contains process chemicals and metal ions in complex state. Oxidation of complexes will render radioactive ions in free state enabling us for further treatment to innocuous level and condition. In waste treatment there are various treatment technologies (advance oxidation process, ozone, hydrogen peroxide, electrochemical oxidation, supercritical water oxidation, electro flocculation etc to remove the accumulated deposit.).In decontamination process removal of the deposits was carried out using EDTA. which complexes the metal ions but it generates secondary waste with EDTA. We have made an attempt to degrade ethylene diaminetetra acetic acid (with ferrousions) using Fenton’s reagent in absence of light. This will free the radioactive ion for further treatment. We have studied different volume of hydrogen peroxide (H2O2) and different concentration of ethylene diamine tetra acetic acid (EDTA). Study was also done to find the effect of pH and temp on the degradation of EDTA. In the range of concentration of ethylene diamine tetra acetic acid 400ppm to 22500 ppm % degradation was found to change from 57 to 98% in 180 min. The pH was found to change from 4.0 to 8.2. The temperature was found to change from 298K to 328K. The rate constant of the degradation reaction was found to be in the range 10-4 to 10-3 in temperature range 298K to 328K. Activation energy for degradation reaction was found to be 33-88 KJ/mol.
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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) | 0.000 | 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) | 0.000 | 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".