A modular platform for in-flow synthesis and characterization of upconverting nanoparticles

Area of Science:

• Materials Science
• Nanotechnology
• Chemical Engineering

Background:

• High-temperature colloidal synthesis of upconverting nanoparticles (UCNPs) faces challenges in reproducibility due to sensitivity to reaction parameters.
• Accurate mapping of UCNP properties is difficult with conventional batch methods.

Purpose of the Study:

• To develop an automated fluidic platform for high-temperature synthesis and in-line characterization of NaYF4-based UCNPs.
• To investigate the impact of reaction temperature, time, and solvent composition on UCNP optical performance.

Main Methods:

• Implementation of a modular fluidic platform with reagent supply, mixing, high-temperature stop-flow synthesis, and in-line optical characterization.
• Systematic evaluation of synthesis parameters and their effect on UCNP photoluminescence intensity ratio and relative quantum yield.

Main Results:

• The fluidic platform demonstrated robust operation and reliable optical measurements, enabling reproducible UCNP synthesis.
• UCNPs synthesized via the fluidic platform showed comparable properties to batch-synthesized UCNPs but were produced significantly faster.
• The study successfully mapped the effects of key synthesis variables on UCNP optical metrics.

Conclusions:

• The automated fluidic platform provides a modular and efficient approach for high-temperature UCNP synthesis.
• This technology lays the groundwork for advanced, automated nanomaterial synthesis, including machine-learning-guided optimization.
• The platform enhances reproducibility and speed in UCNP production and characterization.