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An Integrated System to Remotely Trigger Intracellular Signal Transduction by Upconversion Nanoparticle-mediated Kinase Photoactivation

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Short-Wave Infrared Upconverting Nanoparticles.

Xiao Qi¹, Changhwan Lee², Benedikt Ursprung²

¹The Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States.

Journal of the American Chemical Society

|October 21, 2024

Summary

This summary is machine-generated.

Researchers developed new lanthanide-based upconverting nanoparticles (UCNPs) that efficiently convert short-wave infrared (SWIR) light into detectable signals. These SWIR-responsive probes enable new bioimaging possibilities and are crucial for advanced vision technologies.

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Area of Science:

Nanotechnology
Optical Physics
Materials Science

Background:

Optical technologies offer noninvasive analysis but are limited by spectral regions.
Short-wave infrared (SWIR) wavelengths allow deep penetration and reduced photodamage, yet suitable luminescent probes are scarce.

Purpose of the Study:

To discover novel lanthanide-based upconverting nanoparticles (UCNPs) excitable in the SWIR region.
To enable new bioimaging windows and advance vision technologies using SWIR-responsive probes.

Main Methods:

Screening of lanthanide (Ln³⁺) ion combinations using differential rate equation modeling.
Experimental characterization of upconverted photoluminescence excitation (U-PLE) spectra.
Mechanistic modeling to understand energy transfer pathways.

Main Results:

Identified Ho³⁺/Tm³⁺ or Tm³⁺ dopants in NaYF₄ core/shell UCNPs for efficient SWIR excitation.
Demonstrated SWIR excitation at 1740 or 1950 nm yielding strong visible or NIR-I emission.
Showcased Ho³⁺ addition shifting emission to 652 nm for enhanced SWIR energy acceptance and redistribution.

Conclusions:

Developed SWIR-responsive UCNPs opening a new IR bioimaging window.
Rate equation models accurately predict UCNP compositions for specific excitation and emission wavelengths.
These probes are vital for vision technologies and deep subsurface analysis.