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Fabrication of SiO<sub>2</sub>@Au Core-Shell Multi-Functional Nanoparticles (MFNPs) for Imaging and Thermotherapy

2009· article· en· W2015141229 on OpenAlexaff
Yea Huey Chang, De Tian Bau, Ying Shiung Lee, Chien‐Yu Chen, Hung Jin Huang, Fuu Jen Tsai, Chang Hai Tsai, Calvin Yu‐Chian Chen

Bibliographic record

VenueAdvanced materials research · 2009
Typearticle
Languageen
FieldMaterials Science
TopicGold and Silver Nanoparticles Synthesis and Applications
Canadian institutionsTerry Fox Research Institute
Fundersnot available
KeywordsMaterials scienceNanoparticleColloidal goldFluoresceinNanotechnologyPhotothermal therapyHomogeneousShell (structure)FabricationChemical engineeringComposite materialFluorescenceOptics

Abstract

fetched live from OpenAlex

In this study, we aimed at producing a MFNP consist of a dielectric core encapsulated fluorescein coating by a thin gold shell, which facilitate it with highly favorable optical and chemical properties for biomedical imaging and therapeutic applications. We have composed a novel multi-functional nanodesign, Sample A3, with fluorescein encapsulated in SiO2 nanoparticles with gold shell. The A3 nanoparticles were uniform in size, no aggregation, homogeneous and stable in the solution under the SEM image system. We have also investigated its cytotoxicity to A10 human smooth muscle cell line by MTT assay, and found that the novel sample A3 were of little cytotoxic to the cells. In conclusion, we have proposed a novel method of preparing multi-functional nanoparticles assemblies, which has added fluorescein to SiO2 in a gold shell, to make it simultaneously have the functions of photothermal therapy and tracer.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.641

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.064
GPT teacher head0.345
Teacher spread0.281 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2009
Admission routes1
Has abstractyes

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