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Published on: November 10, 2017
Synthesis, Characterization and Biosensing Application of Photon Upconverting Nanoparticles
1Department of Chemistry, New Mexico Institute of Mining and Technology, Socorro, NM 87801, USA.
Proceedings of Spie--The International Society for Optical Engineering
|September 28, 2011
Summary
Photon upconverting nanoparticles offer enhanced signal-to-noise ratios for detecting trace amounts of DNA. This study developed a sensitive and specific DNA sensor for sickle cell disease point mutation detection using these nanomaterials.
Area of Science:
- Nanotechnology
- Biochemistry
- Materials Science
Background:
- Photon upconversion materials emit shorter wavelengths when excited by longer wavelengths.
- Upconverting materials offer improved signal-to-noise ratios compared to down-converting materials.
- This characteristic makes them ideal for detecting trace amounts of target molecules in complex mixtures.
Purpose of the Study:
- To synthesize and characterize NaYF(4):Yb(3+), Er(3+) photon upconverting nanoparticles.
- To develop a nucleotide sensor for detecting point mutations associated with sickle cell disease.
- To demonstrate the potential of upconverting nanoparticles in oligonucleotide sensing.
Main Methods:
- Synthesis and characterization of NaYF(4):Yb(3+), Er(3+) nanoparticles.
- Design of a DNA sensor utilizing luminescence resonance energy transfer (LRET).
- A sandwich-type hybridization format was employed for DNA detection.
Main Results:
- The photon upconverting nanoparticles exhibited narrow absorption and line emission spectra.
- The developed DNA sensor demonstrated high sensitivity and specificity.
- The presence of target DNA was indicated by an increase in normalized acceptor emission.
Conclusions:
- Photon upconverting nanoparticles provide a high signal-to-noise ratio and resist photobleaching.
- The LRET-based DNA sensor shows great potential for sensitive and specific oligonucleotide detection.
- These nanomaterials are promising for applications in disease diagnostics, such as sickle cell disease detection.
