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Combinatorial approaches for developing upconverting nanomaterials: high-throughput screening, modeling, and

Emory M Chan1

  • 1The Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA. EMChan@lbl.gov.

Chemical Society Reviews
|October 8, 2014
PubMed
Summary
This summary is machine-generated.

Combinatorial strategies accelerate the discovery of lanthanide-doped upconverting nanoparticles for imaging and solar applications. These methods rapidly screen materials, optimizing properties and overcoming current design limitations.

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Area of Science:

  • Materials Science
  • Nanotechnology
  • Optics

Background:

  • Lanthanide-doped nanoparticles upconvert near-infrared light to visible frequencies.
  • Applications include biological imaging and luminescent solar concentration.
  • Optimizing optical properties depends on dopants, morphology, host matrices, and surface ligands.

Purpose of the Study:

  • To review combinatorial strategies for rapid screening and optimization of upconverting nanomaterials.
  • To highlight high-throughput synthesis and characterization techniques.
  • To discuss theoretical modeling of lanthanide-doped material optical properties.

Main Methods:

  • Review of combinatorial synthesis and characterization techniques.
  • Discussion of computational modeling for optical properties.
  • Analysis of case studies demonstrating optimization.

Main Results:

  • Combinatorial approaches enable rapid screening of diverse nanomaterial libraries.
  • High-throughput methods accelerate identification of optimal compositions and conditions.
  • Case studies reveal unexpected phenomena and property optimizations.

Conclusions:

  • Combinatorial strategies are crucial for accelerating research and discovery of advanced upconverting nanomaterials.
  • These techniques can overcome fundamental limitations in current material designs.
  • Future opportunities exist for novel material discovery using these approaches.