| Title |
Surface-Enhanced Raman Scattering Spectroscopy and Microfluidics: Towards Ultrasensitive Label-Free Sensing
|
|---|---|
| Published in |
Biosensors, June 2018
|
| DOI | 10.3390/bios8030062 |
| Pubmed ID | |
| Authors |
Krishna Kant, Sara Abalde-Cela |
| Abstract |
Raman scattering and surface-enhanced Raman scattering (SERS) spectroscopy have demonstrated their potential as ultrasensitive detection techniques in the past decades. Specifically, and as a result of the flourishing of nanotechnology, SERS is nowadays one of the most powerful sensing techniques, not only because of the low detection limits that it can achieve, but also for the structural information that it offers and its capability of multiplexing. Similarly, microfluidics technology is having an increased presence not only in fundamental research, but also in the industry. The latter is because of the intrinsic characteristics of microfluidics, being automation, high-throughput, and miniaturization. However, despite miniaturization being an advantage, it comes together with the need to use ultrasensitive techniques for the interrogation of events happening in extremely small volumes. The combination of SERS with microfluidics can overcome bottlenecks present in both technologies. As a consequence, the integration of Raman and SERS in microfluidics is being investigated for the label-free biosensing of relevant research challenges. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 98 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 19% |
| Student > Master | 16 | 16% |
| Researcher | 15 | 15% |
| Student > Bachelor | 7 | 7% |
| Student > Doctoral Student | 4 | 4% |
| Other | 12 | 12% |
| Unknown | 25 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 15 | 15% |
| Engineering | 13 | 13% |
| Biochemistry, Genetics and Molecular Biology | 12 | 12% |
| Physics and Astronomy | 6 | 6% |
| Agricultural and Biological Sciences | 5 | 5% |
| Other | 17 | 17% |
| Unknown | 30 | 31% |
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 26 July 2018.
All research outputs
#15,697,480
of 23,393,513 outputs
Outputs from Biosensors
#638
of 1,459 outputs
Outputs of similar age
#210,585
of 330,157 outputs
Outputs of similar age from Biosensors
#13
of 25 outputs
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So far Altmetric has tracked 1,459 research outputs from this source. They receive a mean Attention Score of 2.7. This one has gotten more attention than average, scoring higher than 56% of its peers.
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We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.