Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 379

The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.

In vivo biosensing via tissue-localizable near-infrared-fluorescent single-walled carbon nanotubes

Open access
Iverson, Nicole M., Barone, Paul W., Shandell, Mia, Trudel, Laura J., Sen, Selda, Sen, Fatih, Ivanov, Vsevolod, Atolia, Esha, Farias, Edgardo, McNicholas, Thomas P., Reuel, Nigel, Parry, Nicola M. A., Wogan, Gerald N., Strano, Michael S.·2013·Nature Nanotechnology

Abstract

Single-walled carbon nanotubes (SWNT) are particularly attractive for biomedical applications, because they exhibit a fluorescent signal in a spectral region where there is minimal interference from biological media. Although SWNT have been used as highly-sensitive detectors for various molecules, their use as in vivo biosensors requires the simultaneous optimization of various parameters, including biocompatibility, molecular recognition, high fluorescence quantum efficiency and signal transduction. Here we demonstrate that a polyethylene glycol ligated copolymer stabilizes near infrared fluorescent SWNT sensors in solution, enabling intravenous injection into mice and the selective detection of local nitric oxide (NO) concentration with a detection limit of 1 μM. The half-life for liver retention is 4 hours, with sensors clearing the lungs within 2 hours after injection, thus avoiding a dominant route of in vivo nanotoxicology. After localization within the liver, it is possible to follow the transient inflammation using NO as a marker and signalling molecule. To this end, we also report a spatial-spectral imaging algorithm to deconvolute fluorescence intensity and spatial information from measurements. Finally, we show that alginate encapsulated SWNT can function as an implantable inflammation sensor for in vivo NO detection, with no intrinsic immune reactivity or other adverse response, for more than 400 days. These results open new avenues for the use of such nanosensors in vivo for biomedical applications.

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 · 10.1038/nnano.2013.222

Cites

38 of 38 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 38 references

Cited by

See all 379

Metadata

Authors
Iverson, N. M., Barone, P. W., Shandell, M., Trudel, L. J., Sen, S., Sen, F., Ivanov, V., Atolia, E., Farias, E., McNicholas, T. P., Reuel, N., Parry, N. M. A., Wogan, G. N., & Strano, M. S.
Venue
Nature Nanotechnology
Published
2013-11
Volume
8
Issue
11
Pages
873-880
ISSN
  • 1748-3387 (ISSN-L)
  • 1748-3395
OpenAlex
W2064229617
Cited by
379
References
38
FWCI
9.18
Type
journal article
Language
en
Open access
green

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: In vivo biosensing via tissue-localizable near-infrared-fluorescent single-walled carbon nanotubes. https://app.cochat.ai/papers/10.1038/nnano.2013.222
The paper
Iverson, N. M., Barone, P. W., Shandell, M., Trudel, L. J., Sen, S., Sen, F., Ivanov, V., Atolia, E., Farias, E., McNicholas, T. P., Reuel, N., Parry, N. M. A., Wogan, G. N., & Strano, M. S. (2013). In vivo biosensing via tissue-localizable near-infrared-fluorescent single-walled carbon nanotubes. Nature Nanotechnology. https://doi.org/10.1038/nnano.2013.222

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.