Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 211

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Monodispersed Mesoporous Silica Nanoparticles with Very Large Pores for Enhanced Adsorption and Release of DNA

Gao, Fei, Botella, Pablo, Corma, Avelino, Blesa, Jose, Dong, Lin·2009·The Journal of Physical Chemistry B

Abstract

Silica nanoparticles with controlled diameter (approximately 70-300 nm) and with uniform pores of 20 nm are prepared by a low temperature (10 degrees C) synthetic method in the presence of a dual surfactant system. While a triblock copolymer (Pluronic F127) acts as supramolecular template and coassembles with hydrolyzed silica species to develop a partially ordered mesophase with face-centered cubic symmetry, a fluorocarbon surfactant with high surface activity (FC-4) surrounds the silica particles through S+X-I+ interactions, thereby limiting their growth. The final textural properties of this material are achieved by means of a subsequent hydrothermal treatment to yield high pore volume mesoporous silica nanoparticles with the largest pore entrance size (17 nm) and cavity diameter (20 nm) reported up to now. After surface modification with aminopropyl groups, the nanoparticles are able to encapsulate inside the pores molecules of the firefly luciferase plasmid DNA (pGL3-Control, 5256 pb), leading to stable conjugates with up to 0.07 microg DNA m(-2), which is the highest content achieved with silica-based materials. Furthermore, plasmid DNA becomes protected from enzymatic degradation when conjugated with the mesostructured nanoparticles.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1021/jp807956r

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Cited by

See all 211

Metadata

Authors
Gao, F., Botella, P., Corma, A., Blesa, J., & Dong, L.
Venue
The Journal of Physical Chemistry B
Published
2009-01-16
Volume
113
Issue
6
Pages
1796-1804
ISSN
  • 1520-5207 (ISSN-L)
  • 1520-6106
OpenAlex
W2038925316
Cited by
211
References
2
FWCI
7.34
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.