Utilizing Electrosorption for Efficient Removal of Polyethylene Microplastics from Water: Critical Factors and Mechanistic Insights
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Microplastics (MPs) produced by human activities can enter the environment through wastewater systems. A significant quantity of MPs still reaches the environment via wastewater treatment plant (WWTP) effluent because the techniques commonly used in WWTPs are not effective at removing MPs, especially smaller particles. To address this, an electrosorption (ES) method was developed in this study to separate MPs (3–5 μm polyethylene particles) from water using graphite felt electrodes. Electrosorption experiments were conducted using a static water cell and a flow-through cell to examine the influence of hydrodynamic forces. Increasing the voltage (up to 12 V) enhanced electrostatic attraction, accelerating removal. Higher flow rates improved MP transport to the electrode, boosting the efficiency. The highest removal (96.9%) occurred at 80 mL/min, 12 V, and 20 mM KNO 3 after 150 min. By analyzing the influence of various parameters on MP removal efficiency and exploring the underlying mechanisms through DLVO theory, this study establishes a foundation for future advancements in ES for MP removal. Future studies could focus on investigating the removal of MPs using ES in more complex real-world environments.
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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 it