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 accessAbstract
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.
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Cites
Nitric oxide: physiology, pathophysiology, and pharmacology.
Moncada, S., Palmer, R. M., & Higgs, E. A. (1991) · Pharmacological Reviews · doi:10.1016/s0031-6997(25)06663-3 · Cited by 15,525
Coussens, L. M., & Werb, Z. (2002) · Nature · doi:10.1038/nature01322 · Cited by 15,111
Mantovani, A., Allavena, P., Sica, A., & Balkwill, F. (2008) · Nature · doi:10.1038/nature07205 · Cited by 11,399
Poland, C. A., Duffin, R., Kinloch, I., Maynard, A., Wallace, W. A. H., Seaton, A., Stone, V., Brown, S., MacNee, W., & Donaldson, K. (2008) · Nature Nanotechnology · doi:10.1038/nnano.2008.111 · Cited by 2,645
NITRIC OXIDE: A Physiologic Messenger Molecule
Bredt, D. S., & Snyder, S. H. (1994) · Annual Review of Biochemistry · doi:10.1146/annurev.bi.63.070194.001135 · Cited by 2,368
Carbon nanotubes in biology and medicine: In vitro and in vivo detection, imaging and drug delivery
Liu, Z., Tabakman, S., Welsher, K., & Dai, H. (2009) · Nano Research · doi:10.1007/s12274-009-9009-8 · Cited by 1,716
In vivo biodistribution and highly efficient tumour targeting of carbon nanotubes in mice
Liu, Z., Cai, W., He, L., Nakayama, N., Chen, K., Sun, X., Chen, X., & Dai, H. (2007) · Nature Nanotechnology · doi:10.1038/nnano.2006.170 · Cited by 1,436
Drug Delivery with Carbon Nanotubes for In vivo Cancer Treatment
Liu, Z., Chen, K., Davis, C., Sherlock, S., Cao, Q., Chen, X., & Dai, H. (2008) · Cancer Research · doi:10.1158/0008-5472.can-08-1468 · Cited by 1,348
A route to brightly fluorescent carbon nanotubes for near-infrared imaging in mice
Welsher, K., Liu, Z., Sherlock, S. P., Robinson, J. T., Chen, Z., Daranciang, D., & Dai, H. (2009) · Nature Nanotechnology · doi:10.1038/nnano.2009.294 · Cited by 1,287
In vivo Biodistribution and Highly Efficient Tumour Targeting of Carbon Nanotubes in Mice
Liu, Z., Cai, W., He, L., Nakayama, N., Chen, K., Sun, X., Chen, X., & Dai, H. (2020) · Nano-Enabled Medical Applications · doi:10.1201/9780429399039-14 · Cited by 1,213
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Advanced Fluorescence Imaging Technology in the Near-Infrared-II Window for Biomedical Applications
Li, C., Chen, G., Zhang, Y., Wu, F., & Wang, Q. (2020) · Journal of the American Chemical Society · doi:10.1021/jacs.0c07022 · Cited by 1,037
He, S., Song, J., Qu, J., & Cheng, Z. (2018) · Chemical Society Reviews · doi:10.1039/c8cs00234g · Cited by 1,021
Recent advances in electrochemical non-enzymatic glucose sensors – A review
Hwang, D.-W., Lee, S., Seo, M., & Chung, T. D. (2018) · Analytica Chimica Acta · doi:10.1016/j.aca.2018.05.051 · Cited by 788
A high quantum yield molecule-protein complex fluorophore for near-infrared II imaging
Antaris, A. L., Chen, H., Diao, S., Ma, Z., Zhang, Z., Zhu, S., Wang, J., Lozano, A. X., Fan, Q., Chew, L., et al. (2017) · Nature Communications · doi:10.1038/ncomms15269 · Cited by 623
Near-infrared luminescence high-contrast in vivo biomedical imaging
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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
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- 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
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