Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 320

The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.

Vancomycin-Modified Nanoparticles for Efficient Targeting and Preconcentration of Gram-Positive and Gram-Negative Bacteria

Kell, Arnold J., Stewart, Gale, Ryan, Shannon, Peytavi, Regis, Boissinot, Maurice, Huletsky, Ann, Bergeron, Michel G., Simard, Benoit·2008·ACS Nano

Abstract

A series of vancomycin-modified nanoparticles were developed and employed in magnetic confinement assays to isolate a variety of Gram-positive and Gram-negative bacteria from aqueous solution. We determined that the orientation/architecture of vancomycin on the surface of the nanoparticles and the overall surface coverage is critical in mediating fast and effective interactions between the nanoparticle and the pathogen cell wall surface and only one orientation/architecture in a series of modified nanoparticles leads to the efficient and reproducible capture of several important pathogenic bacteria. Interestingly, as the nanoparticles increase in diameter (from approximately 50 to 2800 nm), it is necessary to incorporate a long linker between the nanoparticle surface and the vancomycin moiety in order for the surface bound probe to efficiently confine Gram-positive bacteria. Finally, we also determined that the time required for efficient labeling and subsequent magnetic confinement significantly decreases as the size of the nanoparticle and the vancomycin surface coverage on the nanoparticle increases. As disease detection technologies transition to "lab-on-a-chip" based platforms it is necessary to develop strategies to effectively and inexpensively preconcentrate cells from large volume to volumes more amenable to these types of microfluidic devices. These small molecule-modified superparamagnetic nanoparticles can provide a means by which this can be accomplished.

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/nn700183g

Cites

26 of 26 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

Show all 26 references

Cited by

See all 320

Metadata

Authors
Kell, A. J., Stewart, G., Ryan, S., Peytavi, R., Boissinot, M., Huletsky, A., Bergeron, M. G., & Simard, B.
Venue
ACS Nano
Published
2008-08-21
Volume
2
Issue
9
Pages
1777-1788
ISSN
  • 1936-0851 (ISSN-L)
  • 1936-086X
OpenAlex
W2068805676
Cited by
320
References
26
FWCI
6.61
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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Vancomycin-Modified Nanoparticles for Efficient Targeting and Preconcentration of Gram-Positive and Gram-Negative Bacteria. https://app.cochat.ai/papers/10.1021/nn700183g
The paper
Kell, A. J., Stewart, G., Ryan, S., Peytavi, R., Boissinot, M., Huletsky, A., Bergeron, M. G., & Simard, B. (2008). Vancomycin-Modified Nanoparticles for Efficient Targeting and Preconcentration of Gram-Positive and Gram-Negative Bacteria. ACS Nano. https://doi.org/10.1021/nn700183g

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.