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Updated: Feb 16, 2026
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Preparation of Silica Nanoparticles Through Microwave-assisted Acid-catalysis
Published on: December 16, 2013
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Fluorescent Silica Nanoparticles with Well-Separated Intensity Distributions from Batch Reactions
Teresa Kao1, Ferdinand Kohle1,2, Kai Ma1
1Department of Materials Science and Engineering, Cornell University , Ithaca, New York 14853, United States.
Nano Letters
|January 3, 2018
Summary
Researchers developed novel fluorescent silica nanoparticles (SNPs) for biological imaging. These tunable nanoparticles offer distinct intensity levels for multiplexed intracellular labeling and advanced single-particle imaging applications.
Area of Science:
- Nanoparticle synthesis
- Biomedical imaging
- Materials science
Background:
- Fluorescent silica nanoparticles (SNPs) are valuable for biological imaging.
- Synthesizing SNPs with distinct intensity levels for multiplexed labeling has been challenging.
- Existing methods struggle with batch production of SNPs with reliable intensity barcodes.
Purpose of the Study:
- To develop a method for synthesizing highly fluorescent SNPs with well-separated intensity distributions in batch reactions.
- To create tunable nanoparticle platforms for enhanced intracellular tagging and simultaneous observation.
- To improve the reliability of SNPs as intensity barcodes for molecular species identification.
Main Methods:
- Amino-acid catalyzed growth for SNP synthesis.
- Seeded growth approach to minimize secondary particle formation.
- Tuning organic fluorescent dye affinity via organosilane linker chemistry.
Main Results:
- Synthesized highly fluorescent SNPs with sizes <40 nm.
- Achieved well-separated intensity distributions in batch reactions.
- Demonstrated tunable dye affinity for controlled SNP fluorescence.
Conclusions:
- Amino-acid catalysis enables batch synthesis of fluorescent SNPs with distinct intensity levels.
- These SNPs are suitable for multiplexed intracellular labeling and single-particle imaging.
- Optimized nanoparticle heterogeneities are critical for probe performance in sensing applications.
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