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Quantitative Lateral Flow Strip Sensor Using Highly Doped Upconversion Nanoparticles.

Hao He1,2, Baolei Liu1, Shihui Wen1

  • 1Institute for Biomedical Materials and Devices, Faculty of Science , University of Technology Sydney , Sydney , New South Wales 2007 , Australia.

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|October 19, 2018
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Summary
This summary is machine-generated.

This study introduces a novel device for ultrasensitive biomarker detection using bright upconversion nanoparticles (UCNPs) on lateral flow assays. This innovation enables highly sensitive, low-cost cancer diagnostics for early disease detection.

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Area of Science:

  • Biomedical Engineering
  • Nanotechnology
  • Analytical Chemistry

Background:

  • Paper-based lateral flow assays (LFAs) are cost-effective for diagnostics but lack sensitivity for early-stage cancer biomarkers.
  • Low-abundance biomarkers require highly sensitive detection methods for early cancer diagnosis.

Purpose of the Study:

  • To develop a compact device for enhanced upconversion nanoparticle (UCNP) emission.
  • To achieve ultrasensitive detection of cancer biomarkers using a novel lateral flow assay system.

Main Methods:

  • Designed a device with a focused, high-irradiance illumination spot using a low-cost laser diode.
  • Utilized highly doped erbium ion (Er3+)- and thulium ion (Tm3+)-doped UCNPs as dual reporters.
  • Integrated a mobile phone camera for simplified data acquisition.

Main Results:

  • Achieved record low limits of detection (LOD) of 89 pg/mL for prostate-specific antigen (PSA) and 400 pg/mL for ephrin type-A receptor 2 (EphA2).
  • Demonstrated ultrasensitive, quantitative detection without crosstalk between dual reporters.
  • Enabled significantly brighter UCNP emissions for improved assay sensitivity.

Conclusions:

  • The developed device and technique offer a low-cost, rapid, and quantitative platform for lateral flow assays.
  • This approach holds significant potential for the early detection of various bioanalytes, including cancer biomarkers.
  • Enhanced UCNP-based LFAs represent a promising advancement in sensitive point-of-care diagnostics.