| Title |
Hands-free smartphone-based diagnostics for simultaneous detection of Zika, Chikungunya, and Dengue at point-of-care
|
|---|---|
| Published in |
Biomedical Microdevices, August 2017
|
| DOI | 10.1007/s10544-017-0209-9 |
| Pubmed ID | |
| Authors |
A. Ganguli, A. Ornob, H. Yu, G. L. Damhorst, W. Chen, F. Sun, A. Bhuiya, B. T. Cunningham, R. Bashir |
| Abstract |
Infectious diseases remain the world's top contributors to death and disability, and, with recent outbreaks of Zika virus infections there has been an urgency for simple, sensitive and easily translatable point-of-care tests. Here we demonstrate a novel point-of-care platform to diagnose infectious diseases from whole blood samples. A microfluidic platform performs minimal sample processing in a user-friendly diagnostics card followed by real-time reverse-transcription loop-mediated isothermal amplification (RT-LAMP) on the same card with pre-dried primers specific to viral targets. Our point-of-care platform uses a commercial smartphone to acquire real-time images of the amplification reaction and displays a visual read-out of the assay. We apply this system to detect closely related Zika, Dengue (types 1 and 3) and Chikungunya virus infections from whole blood on the same pre-printed chip with high specificity and clinically relevant sensitivity. Limit of detection of 1.56e5 PFU/mL of Zika virus from whole blood was achieved through our platform. With the ability to quantitate the target nucleic acid, this platform can also perform point-of-care patient surveillance for pathogen load or select biomarkers in whole blood. |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 30% |
| United States | 2 | 20% |
| France | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 80% |
| Scientists | 1 | 10% |
| Practitioners (doctors, other healthcare professionals) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 212 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 212 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 36 | 17% |
| Student > Ph. D. Student | 29 | 14% |
| Student > Bachelor | 22 | 10% |
| Student > Master | 21 | 10% |
| Student > Doctoral Student | 17 | 8% |
| Other | 27 | 13% |
| Unknown | 60 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 28 | 13% |
| Engineering | 28 | 13% |
| Medicine and Dentistry | 21 | 10% |
| Agricultural and Biological Sciences | 14 | 7% |
| Chemistry | 10 | 5% |
| Other | 35 | 17% |
| Unknown | 76 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 89. 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 July 2023.
All research outputs
#469,979
of 25,176,926 outputs
Outputs from Biomedical Microdevices
#1
of 796 outputs
Outputs of similar age
#9,988
of 323,154 outputs
Outputs of similar age from Biomedical Microdevices
#1
of 7 outputs
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