Title |
Reusable, Robust, and Accurate Laser-Generated Photonic Nanosensor
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Published in |
Nano Letters, May 2014
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DOI | 10.1021/nl5012504 |
Pubmed ID | |
Authors |
Ali K. Yetisen, Yunuen Montelongo, Fernando da Cruz Vasconcellos, J.L. Martinez-Hurtado, Sankalpa Neupane, Haider Butt, Malik M. Qasim, Jeffrey Blyth, Keith Burling, J. Bryan Carmody, Mark Evans, Timothy D. Wilkinson, Lauro T. Kubota, Michael J. Monteiro, Christopher R. Lowe |
Abstract |
Developing noninvasive and accurate diagnostics that are easily manufactured, robust, and reusable will provide monitoring of high-risk individuals in any clinical or point-of-care environment. We have developed a clinically relevant optical glucose nanosensor that can be reused at least 400 times without a compromise in accuracy. The use of a single 6 ns laser (λ = 532 nm, 200 mJ) pulse rapidly produced off-axis Bragg diffraction gratings consisting of ordered silver nanoparticles embedded within a phenylboronic acid-functionalized hydrogel. This sensor exhibited reversible large wavelength shifts and diffracted the spectrum of narrow-band light over the wavelength range λpeak ≈ 510-1100 nm. The experimental sensitivity of the sensor permits diagnosis of glucosuria in the urine samples of diabetic patients with an improved performance compared to commercial high-throughput urinalysis devices. The sensor response was achieved within 5 min, reset to baseline in ∼10 s. It is anticipated that this sensing platform will have implications for the development of reusable, equipment-free colorimetric point-of-care diagnostic devices for diabetes screening. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Turkey | 1 | 33% |
Netherlands | 1 | 33% |
Colombia | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Iran, Islamic Republic of | 2 | 1% |
United Kingdom | 1 | <1% |
United States | 1 | <1% |
Denmark | 1 | <1% |
Unknown | 133 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 37 | 27% |
Student > Master | 19 | 14% |
Researcher | 15 | 11% |
Student > Bachelor | 13 | 9% |
Other | 7 | 5% |
Other | 20 | 14% |
Unknown | 27 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 23 | 17% |
Chemistry | 22 | 16% |
Physics and Astronomy | 17 | 12% |
Materials Science | 13 | 9% |
Agricultural and Biological Sciences | 11 | 8% |
Other | 18 | 13% |
Unknown | 34 | 25% |