Cited by 1,699Mesoporous Materials and CatalysisNanoparticle-Based Drug DeliveryClay minerals and soil interactions

Mesoporous silica nanoparticles for drug delivery and biosensing applications

Slowing, I. I., Trewyn, B. G., Giri, S., Lin, V. S.‐Y.·2007·Advanced Functional Materials

Abstract

Abstract Recent advancements in morphology control and surface functionalization of mesoporous silica nanoparticles (MSNs) have enhanced the biocompatibility of these materials with high surface areas and pore volumes. Several recent reports have demonstrated that the MSNs can be efficiently internalized by animal and plant cells. The functionalization of MSNs with organic moieties or other nanostructures brings controlled release and molecular recognition capabilities to these mesoporous materials for drug/gene delivery and sensing applications, respectively. Herein, we review recent research progress on the design of functional MSN materials with various mechanisms of controlled release, along with the ability to achieve zero release in the absence of stimuli, and the introduction of new characteristics to enable the use of nonselective molecules as screens for the construction of highly selective sensor systems.

Integrity signals

Registry

Crossref · 10.1002/adfm.200601191

Cites

64 of 64 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Porous materials present great value for applications in energy conversion and storage, catalysis, drug delivery, gas capture, and water purification.

    “With these unique features, porous materials present great value for applications in energy conversion and storage [132,133,134,135], catalysis [136], drug delivery [137], gas capture [138,139], and water purification [140,141].”

    From Block Copolymers: Synthesis, Self-Assembly, and Applications (2017) · cites this paper as [137]

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Slowing, I. I., Trewyn, B. G., Giri, S., & Lin, V. S. ‐.
Affiliations
Iowa State University (US)
Venue
Advanced Functional Materials
Publisher
Wiley
Published
2007-04-20
Volume
17
Issue
8
Pages
1225-1236
ISSN
  • 1616-301X (ISSN-L)
  • 1616-3028
OpenAlex
W2149183402
Cited by
1,699
References
64
Citations by year
2026: 27 · 2025: 37 · 2024: 40 · 2023: 38 · 2022: 45 · 2021: 99 · 2020: 103 · 2019: 94 · 2018: 131 · 2017: 109 · 2016: 120 · 2015: 128 · 2014: 119 · 2013: 135 · 2012: 107
FWCI
45.70
Type
journal article
Language
en
Open access
closed
Locations
Advanced Functional Materials (publishedVersion)
Funders
  • U.S. National Science Foundation (CHE-0239570)
  • U.S. DOE Ames Laboratory (W-7405-Eng-82)
Topics
  • Physical Sciences › Materials Science › Materials Chemistry › Mesoporous Materials and Catalysis
  • Physical Sciences › Materials Science › Biomaterials › Nanoparticle-Based Drug Delivery
  • Physical Sciences › Materials Science › Biomaterials › Clay minerals and soil interactions
Keywords
mesoporous silica nanoparticles, drug delivery, gene delivery, biosensing, surface functionalization, controlled release, stimuli-responsive release, zero-order release, molecular recognition, biocompatibility, cellular internalization, morphology control

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