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| Content Provider | Royal Society of Chemistry (RSC) |
|---|---|
| Author | Lu, Lehui Li, Zhishi Mao, Zhu Lu, Yong Song, Wei Liu, Xiaojuan Zhao, Bing |
| Copyright Year | 2012 |
| Abstract | The detection of metabolites is very important for the estimation of the health of human beings. Latent fingerprint contains many constituents and specific contaminants, which give much information of the individual, such as health status, drug abuse etc. For a long time, many efforts have been focused on visualizing latent fingerprints, but little attention has been paid to the detection of such substances at the same time. In this article, we have devised a versatile approach for the ultra-sensitive detection and identification of specific biomolecules deposited within fingerprints via a large-area SERS imaging technique. The antibody bound to the Raman probe modified silver nanoparticles enables the binding to specific proteins within the fingerprints to afford high-definition SERS images of the fingerprint pattern. The SERS spectra and images of Raman probes indirectly provide chemical information regarding the given proteins. By taking advantage of the high sensitivity and the capability of SERS technique to obtain abundant vibrational signatures of biomolecules, we have successfully detected minute quantities of protein present within a latent fingerprint. This technique provides a versatile and effective model to detect biomarkers within fingerprints for medical diagnostics, criminal investigation and other fields. |
| Starting Page | 2333 |
| Ending Page | 2338 |
| Page Count | 6 |
| File Format | HTM / HTML PDF |
| ISSN | 20403364 |
| Volume Number | 4 |
| Issue Number | 7 |
| Journal | Nanoscale |
| DOI | 10.1039/c2nr12030e |
| Language | English |
| Publisher | Royal Society of Chemistry |
| Access Restriction | Open |
| Subject Keyword | Fingerprint SERS High-definition video Protein |
| Content Type | Text |
| Resource Type | Article |
| Subject | Nanoscience and Nanotechnology |
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