Exploiting shape-selected iron oxide nanoparticles for the destruction of robust bacterial biofilms – active transport of biocides <i>via</i> surface charge and magnetic field control
Bibliographic record
Abstract
Biofilms that form on reusable medical devices are a cause of hospital acquired infections; however, sanitization of biofilms is a challenge due to their dense extracellular matrix. This work presents an innovative strategy using biocide-loaded iron oxide nanoparticles transported within the matrix via a magnetic field to eradicate biofilms. Results show that the active delivery of the biocide to underlying cells effectively penetrates the extracellular matrix and inactivates Methicillin resistant Staphylococcus aureus (MRSA) biofilms (responsible for several difficult-to-treat infections in humans). To optimize this treatment, the loading of spherical, cubic and tetrapod-shaped nanoparticles with a model biocide, CTAB (cetyltrimethylammonium bromide) was studied. Biocide loading was determined to be dependent on the shapes' surface charge density instead of the surface area, meaning that biocide attachment is greater for nanoparticles with sharp edges (e.g. cubes and tetrapods). These results can be used to optimize treatment efficacy, and help further understanding of biofilm and nanoparticle surface zeta potentials, and the nanoparticle-biofilm interactions.
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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".