| Title |
In vivo detection of SERS-encoded plasmonic nanostars in human skin grafts and live animal models
|
|---|---|
| Published in |
Analytical & Bioanalytical Chemistry, September 2015
|
| DOI | 10.1007/s00216-015-8939-0 |
| Pubmed ID | |
| Authors |
Janna K. Register, Andrew M. Fales, Hsin-Neng Wang, Stephen J. Norton, Eugenia H. Cho, Alina Boico, Sulolit Pradhan, Jason Kim, Thies Schroeder, Natalie A. Wisniewski, Bruce Klitzman, Tuan Vo-Dinh |
| Abstract |
Surface-enhanced Raman scattering (SERS)-active plasmonic nanomaterials have become a promising agent for molecular imaging and multiplex detection. Among the wide variety of plasmonics-active nanoparticles, gold nanostars offer unique plasmon properties that efficiently induce strong SERS signals. Furthermore, nanostars, with their small core size and multiple long thin branches, exhibit high absorption cross sections that are tunable in the near-infrared region of the tissue optical window, rendering them efficient for in vivo spectroscopic detection. This study investigated the use of SERS-encoded gold nanostars for in vivo detection. Ex vivo measurements were performed using human skin grafts to investigate the detection of SERS-encoded nanostars through tissue. We also integrated gold nanostars into a biocompatible scaffold to aid in performing in vivo spectroscopic analyses. In this study, for the first time, we demonstrate in vivo SERS detection of gold nanostars using small animal (rat) as well as large animal (pig) models. The results of this study establish the usefulness and potential of SERS-encoded gold nanostars for future use in long-term in vivo analyte sensing. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Unknown | 44 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 22% |
| Student > Master | 9 | 20% |
| Researcher | 6 | 13% |
| Student > Doctoral Student | 5 | 11% |
| Student > Bachelor | 5 | 11% |
| Other | 5 | 11% |
| Unknown | 5 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 11 | 24% |
| Engineering | 7 | 16% |
| Physics and Astronomy | 5 | 11% |
| Biochemistry, Genetics and Molecular Biology | 4 | 9% |
| Materials Science | 3 | 7% |
| Other | 6 | 13% |
| Unknown | 9 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 October 2015.
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#22,760,732
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Outputs from Analytical & Bioanalytical Chemistry
#7,542
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Outputs of similar age
#238,138
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Outputs of similar age from Analytical & Bioanalytical Chemistry
#76
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