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Reusable, robust, and accurate laser-generated photonic nanosensor

  • 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
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

68 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)3587-3593
Number of pages7
JournalNano Letters
Volume14
Issue number6
DOIs
Publication statusPublished - 11 Jun 2014

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • diagnostics
  • glucose sensing
  • nanoparticles
  • Photonic sensors
  • point-of-care

ASJC Scopus subject areas

  • Condensed Matter Physics
  • Bioengineering
  • General Chemistry
  • General Materials Science
  • Mechanical Engineering

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