| Title |
Challenges in paper-based fluorogenic optical sensing with smartphones
|
|---|---|
| Published in |
Nano Convergence, May 2018
|
| DOI | 10.1186/s40580-018-0146-1 |
| Pubmed ID | |
| Authors |
Tiffany-Heather Ulep, Jeong-Yeol Yoon |
| Abstract |
Application of optically superior, tunable fluorescent nanotechnologies have long been demonstrated throughout many chemical and biological sensing applications. Combined with microfluidics technologies, i.e. on lab-on-a-chip platforms, such fluorescent nanotechnologies have often enabled extreme sensitivity, sometimes down to single molecule level. Within recent years there has been a peak interest in translating fluorescent nanotechnology onto paper-based platforms for chemical and biological sensing, as a simple, low-cost, disposable alternative to conventional silicone-based microfluidic substrates. On the other hand, smartphone integration as an optical detection system as well as user interface and data processing component has been widely attempted, serving as a gateway to on-board quantitative processing, enhanced mobility, and interconnectivity with informational networks. Smartphone sensing can be integrated to these paper-based fluorogenic assays towards demonstrating extreme sensitivity as well as ease-of-use and low-cost. However, with these emerging technologies there are always technical limitations that must be addressed; for example, paper's autofluorescence that perturbs fluorogenic sensing; smartphone flash's limitations in fluorescent excitation; smartphone camera's limitations in detecting narrow-band fluorescent emission, etc. In this review, physical optical setups, digital enhancement algorithms, and various fluorescent measurement techniques are discussed and pinpointed as areas of opportunities to further improve paper-based fluorogenic optical sensing with smartphones. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Comoros | 1 | 33% |
| France | 1 | 33% |
| United Kingdom | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 79 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 27% |
| Researcher | 11 | 14% |
| Student > Master | 8 | 10% |
| Student > Bachelor | 7 | 9% |
| Student > Doctoral Student | 5 | 6% |
| Other | 10 | 13% |
| Unknown | 17 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 19 | 24% |
| Chemistry | 11 | 14% |
| Agricultural and Biological Sciences | 7 | 9% |
| Materials Science | 4 | 5% |
| Chemical Engineering | 4 | 5% |
| Other | 13 | 16% |
| Unknown | 21 | 27% |
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 15 May 2018.
All research outputs
#14,982,922
of 23,047,237 outputs
Outputs from Nano Convergence
#60
of 106 outputs
Outputs of similar age
#197,274
of 326,669 outputs
Outputs of similar age from Nano Convergence
#4
of 5 outputs
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