Fabrication of 105Y, Alpha 1‐Anti Trypsin Peptide Conjugated Hybrid Nanoparticles for Biological Applications
Bibliographic record
Abstract
Abstract In this report, we describe the characterizations and applications of hybrid nanoparticles. These nanoparticles have been synthesized by combination of organometallic, polymerization process and functionalized with a specific peptide for targeting expressed serpin‐enzyme complex (SEC) receptor of human hepatoma HepG2 cells. By using peptide conjugated hybrid nanoparticles, the specific receptor targeting, collections of cells were successfully achieved. The cell collection results indicated that, the maximum up to 95.32% of HepG2 cell were collected. The 5‐dimethylthiazol‐2‐yl‐2,5‐diphenyltetrazolium bromide (MTT) assay of HepG2 cells incubated with these nanoparticles indicated that, the peptide conjugated hybrid nanoparticles did not possess significant cytotoxicity. The rotating magnetic field induced cell death studies indicated that, the HepG2 cell showed up to 70% of cell death was induced by hybrid nanoparticles under magnetic field. Concluding, these studies demonstrate that the hybrid nanoparticles have the capability of effective separation, imaging, targeting and killing of the human hepatoma cells.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".