Mechanism controlling the attachment of coronavirus surrogate to the bentonite clays based on experimental studies
Bibliographic record
Abstract
The pathogenic waste presents a significant threat due to infectious microorganisms, potentially endangering human and animal health, compromising food safety, disrupting ecosystems, and causing economic repercussions. The COVID-19 pandemic underscored the necessity for robust biomedical waste management. Bentonite clay barriers offer a solution to prevent waste migration; however, understanding viral pathogen sorption to clays is crucial for disposal facilities. The potential adsorption mechanism could involve electrostatic interactions, cation bridging, hydrogen bonding, or hydrophobic interactions. The precise mechanism of clay–virus interactions is still unknown due to variations in virus type, changes in its surface proteins, and clay type. The potential mechanism for the clay-virus interaction can be elucidated using the sorption characteristics. The present work utilized the Newcastle disease virus as a surrogate for SARS-CoV-2. The present work considered the equilibrium and kinetic attachment studies on the two bentonites, B1 and B2, of varying plasticity in their natural form and homo-ionized with sodium, potassium, and calcium ions. The experimental results supported cation bridging as the primary mechanism for clay–virus interactions. This work contributes to a better understanding of clay-based barriers for pathogens and supports the strategic design of more effective containment systems for biomedical waste.
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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 | 0.002 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".