Related Experiment Video
Updated: Dec 24, 2025

11:56
Fluorescence Imaging with One-nanometer Accuracy FIONA
Published on: September 26, 2014
18.1K
A toolkit for bioimaging using near-infrared AgInS2/ZnS quantum dots
Armen Shamirian1, Oliver Appelbe, Qingbei Zhang
1Department of Chemistry, University of Illinois at Chicago, Chicago, Illinois 28807, USA. sneep@uic.edu.
Journal of Materials Chemistry. B
|April 9, 2020
Summary
Researchers developed water-soluble silver indium sulfide/zinc sulfide (AgInS2/ZnS) quantum dots for biological imaging. These near-infrared emitting nanoparticles show potential for targeted delivery to tumor microenvironments in vivo.
Area of Science:
- Materials Science
- Nanotechnology
- Biomedical Engineering
Background:
- Near-infrared (NIR) emitting quantum dots (QDs) are valuable for biological imaging.
- Producing stable, water-soluble NIR core/shell QDs presents significant challenges.
- Hydrophobic QDs require functionalization for effective biological applications.
Purpose of the Study:
- To establish procedures for synthesizing water-soluble AgInS2/ZnS NIR QDs.
- To explore methods for enhancing QD water solubility and functionalization.
- To evaluate the in vivo applicability of these QDs for tumor microenvironment delivery.
Main Methods:
- Low-temperature overcoating of AgInS2 cores with ZnS using reactive precursors.
- Investigating multiple strategies for imparting water solubility to hydrophobic QDs.
- Functionalization of water-soluble QDs for biological applications.
- In vivo studies to assess nanoparticle delivery to tumor sites.
Main Results:
- Successful production of water-soluble AgInS2/ZnS NIR emitting QDs.
- Demonstration of effective methods for QD solubilization and functionalization.
- Validation of QD potential for modeling nanoparticle delivery to the tumor microenvironment in vivo.
Conclusions:
- The developed procedures overcome challenges in NIR QD synthesis.
- Functionalized, water-soluble AgInS2/ZnS QDs are promising for biological imaging.
- These QDs can be utilized to model nanoparticle delivery in vivo.

