Mechanistic Insight into Size-Dependent Enhanced Cytotoxicity of Industrial Antibacterial Titanium Oxide Nanoparticles on Colon Cells Because of Reactive Oxygen Species Quenching and Neutral Lipid Alteration
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
High Resolution Image Download MS PowerPoint Slide This study evaluates the impact of industrially prepared TiO 2 nanoparticles on the biological system by using an in vitro model of colon cancer cell lines (HCT116). Industrial synthesis of titanium oxide nanoparticles was mimicked on the lab scale by the high-energy ball milling method by milling bulk titanium oxide particles for 5, 10, and 15 h in an ambient environment. The physiochemical characterization by field emission scanning electron microscopy, dynamic light scattering, and UV–visible spectroscopy revealed alteration in the size and surface charge with respect to increase in the milling time. The size was found to be reduced to 82 ± 14, 66 ± 12, and 42 ± 10 nm in 5, 10, and 15 h milled nano TiO 2 from 105 ± 12 nm of bulk TiO 2, whereas the zeta potential increased along with the milling time in all biological media. Cytotoxicity and genotoxicity assays performed with HCT116 cell lines by MTT assay, oxidative stress, intracellular lipid analysis, apoptosis, and cell cycle estimation depicted cytotoxicity as a consequence of reactive oxygen species quenching and lipid accumulation, inducing significant apoptosis and genotoxic cytotoxicity. In silico analysis depicted the role of Sod1, Sod2, p53, and VLDR proteins–TiO 2 hydrogen bond interaction having a key role in determining the cytotoxicity. The particles exhibited significant antibacterial activities against Escherichia coli and Salmonella typhimurium .
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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