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Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
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Related Experiment Video

Updated: Feb 14, 2026

Ligand-Mediated Nucleation and Growth of Palladium Metal Nanoparticles

Ligand-Mediated Nucleation and Growth of Palladium Metal Nanoparticles

Published on: June 25, 2018

Ligand-Mediated Nanocrystal Growth.

Stefano Lazzari¹, Pius M Theiler^1,2, Yi Shen¹

¹Department of Chemical Engineering , MIT , 77 Massachusetts Avenue , Cambridge , Massachusetts 02139 , United States.

Langmuir : the ACS Journal of Surfaces and Colloids

|February 13, 2018

Summary

A new microfluidic platform and model provide insights into nanocrystal formation. This allows for precise control over nanocrystal size distribution and material properties.

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Area of Science:

Materials Science
Chemical Engineering
Nanotechnology

Background:

Nanocrystal synthesis is complex and difficult to control.
Understanding the kinetics of nanocrystal formation is crucial for optimizing material properties.

Purpose of the Study:

To develop a quantitative model for predicting nanocrystal size distribution.
To gain insights into the nanocrystal formation process using a microfluidic platform.
To enable precise control and optimization of nanocrystal synthesis.

Main Methods:

Utilized a microfluidic platform for real-time monitoring of nanocrystal formation.
Developed a deterministic model incorporating surface ligand effects.
Compared on-line kinetic data with model predictions to derive kinetic parameters.

Main Results:

Successfully derived temperature-dependent kinetic parameters for Cadmium Selenide (CdSe) nanocrystals.
Demonstrated the ability to quantitatively predict nanocrystal size distribution.
Validated the generalizability of the approach for various nanocrystal systems.

Conclusions:

The combined microfluidic and modeling approach offers a powerful tool for understanding and controlling nanocrystal synthesis.
This method advances the quantitative prediction of nanocrystal size distribution.
Enables optimization of process performance and material properties in nanocrystal production.