Biocompatible Protein (IgG) Modified Up-conversion Nanoparticles (NaGdF<inf>4</inf>: Yb<sup>3+</sup>, Er<sup>3+</sup>) Deposited by Matrix Assisted Pulsed Laser Evaporation (MAPLE)
Bibliographic record
Abstract
In this study, up-conversion nanoparticles (NaGdF4: Yb3+, Er3+) with/without Immunoglobulin G (IgG) modification were produced by a one-pot synthesis method. The average size of the UCNPs is 50 ± 5 nm. Following that, the up-conversion nanoparticles with/without IgG modification were deposited on the culture dish with glass bottom Matrix assisted pulsed laser evaporation (MAPLE) technique. Nd:YAG laser (λ = 532 nm, τfwhm ≈ 200 μs, ν = 10 Hz) was applied in this deposition. The antibody-modified nanoparticles deposited on the bottom of culture dish by MAPLE process are characterized by energy-dispersive X-ray spectroscopy (SEMEDS) and Fourier transform infrared spectroscopy (FT-IR). In addition, human umbilical vein endothelial cells (HUVECs) are cultured on the culture dish with the deposition of up-conversion nanoparticles with/without antibody, IgG. No toxic effect is imposed on cells. The results of this work indicate the deposition of antibody-modified nanoparticles on the bottom of culture dish by MAPLE could provide more possibilities for cell culture.
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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".