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Record W2317243889 · doi:10.1021/cm303242h

Controlling Growth of Ultrasmall Sub-10 nm Fluorescent Mesoporous Silica Nanoparticles

2013· article· en· W2317243889 on OpenAlex
Kai Ma, Ulrike Werner‐Zwanziger, Josef W. Zwanziger, Ulrich Wiesner

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueChemistry of Materials · 2013
Typearticle
Languageen
FieldMaterials Science
TopicMesoporous Materials and Catalysis
Canadian institutionsDalhousie University
Fundersnot available
KeywordsDynamic light scatteringMaterials scienceMesoporous materialNanoparticleChemical engineeringMesoporous silicaSilaneParticle sizeParticle (ecology)Thermogravimetric analysisNanotechnologyZeta potentialTransmission electron microscopyChemistryOrganic chemistryCatalysisComposite material

Abstract

fetched live from OpenAlex

Mesoporous silica nanoparticles (MSNs) have recently attracted a lot of interest for future nanotheranostic applications because of their large surface-area and high biocompatibility. However, studies to date of MSNs are confined to >10 nm particle sizes which may result in unfavorable biodistribution characteristics for in vivo experiments and hence limit their clinical applications. Here we provide a full account of a synthesis approach to ultrasmall sub-10 nm mesoporous silica nanoparticles with narrow size distributions and homogeneous porous particle morphology. Key features enabling this structure control are (i) fast hydrolysis, (ii) slow condensation, and (iii) capping of particle growth by addition of a PEG-silane at different time-points of the synthesis. Variation of synthesis conditions including monomer/catalyst concentrations, temperature, and time-point of PEG-silane addition leads to synthesis condition-particle structure correlations as mapped out by a combination of results from data analysis of dynamic light scattering (DLS) and transmission electron microscopy (TEM) measurements. Results establish precise control over average particle diameter from 6 to 15 nm with increments below 1 nm. Solid state nuclear magnetic resonance (NMR) measurements, zeta-potential measurements, and thermogravimetric analysis (TGA) were conducted to reveal details of the particle surface structure. Long-term particle stability tests in deionized (DI) water and phosphate buffered saline (PBS) 1X buffer solution were performed using DLS demonstrating that the PEGylated particles are stable in physiological environments for months. Fluorescent single pore silica nanoparticles (mC dots) encapsulating blue (DEAC) and green (TMR) dyes were synthesized and characterized by a combination of DLS, TEM, static optical spectroscopy, and fluorescence correlation spectroscopy (FCS) establishing probes for multicolor fluorescence imaging applications. The ultraprecise particle size control demonstrated here in particular for sizes around and below 10 nm may render these particles an interesting subject for further fundamental studies of porous silica particle formation mechanisms as well as for sensing, drug delivery, and theranostic applications.

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.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.015
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0150.000

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 head0.008
GPT teacher head0.198
Teacher spread0.191 · 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