| Title |
A nanoaggregate-on-mirror platform for molecular and biomolecular detection by surface-enhanced Raman spectroscopy
|
|---|---|
| Published in |
Analytical & Bioanalytical Chemistry, October 2015
|
| DOI | 10.1007/s00216-015-9142-z |
| Pubmed ID | |
| Authors |
Gregory Q. Wallace, Mohammadali Tabatabaei, Mariachiara S. Zuin, Mark S. Workentin, François Lagugné-Labarthet |
| Abstract |
A nanoaggregate-on-mirror (NAOM) structure has been developed for molecular and biomolecular detection using surface-enhanced Raman spectroscopy (SERS). The smooth surface of the gold mirror allows for simple and homogeneous functionalization, while the introduction of the nanoaggregates enhances the Raman signal of the molecule(s) in the vicinity of the aggregate-mirror junction. This is evidenced by functionalizing the gold mirror with 4-nitrothiophenol, and the further addition of gold nanoaggregates promotes local SERS activity only in the areas with the nanoaggregates. The application of the NAOM platform for biomolecular detection is highlighted using glucose and H2O2 as molecules of interest. In both cases, the gold mirror is functionalized with 4-mercaptophenylboronic acid (4-MPBA). Upon exposure to glucose, the boronic acid moiety of 4-MPBA forms a cyclic boronate ester. Once the nanoaggregates are added to the surface, detection of glucose is possible without the use of an enzyme. This method of indirect detection provides a limit of detection of 0.05 mM, along with a linear range of detection from 0.1 to 15 mM for glucose, encompassing the physiological range of blood glucose concentration. The detection of H2O2 is achieved with optical inspection and SERS. The H2O2 interferes with the coating of the gold mirror, enabling qualitative detection by visual inspection. Simultaneously, the H2O2 reacts with the boronic acid to form a phenol, a change that is detected by SERS. Graphical abstract A nanoaggregate-on-mirror platform is SERS-active over the aggregate regions. When functionalized with a Raman reported the platform can be used to detect glucose based on changes to the observed SERS signal. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 25% |
| Researcher | 2 | 17% |
| Student > Doctoral Student | 2 | 17% |
| Other | 1 | 8% |
| Student > Master | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 2 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 3 | 25% |
| Materials Science | 2 | 17% |
| Agricultural and Biological Sciences | 1 | 8% |
| Medicine and Dentistry | 1 | 8% |
| Biochemistry, Genetics and Molecular Biology | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 4 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 13 June 2017.
All research outputs
#15,516,483
of 25,371,288 outputs
Outputs from Analytical & Bioanalytical Chemistry
#4,709
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Outputs of similar age
#149,199
of 294,975 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#59
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