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Updated: Jan 31, 2026
09:09
A Label-free Technique for the Spatio-temporal Imaging of Single Cell Secretions
Published on: November 23, 2015
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Plasmonic Colloidosome-Based Single Cell Detector: A Strategy for Individual Cell Secretion Sensing.
Xinjun Wang1, Ji Ji1, Tingting Liu2
1Department of Chemistry, Shanghai Stomatological Hospital , Fudan University , Shanghai 200000 , China.
Analytical Chemistry
|January 5, 2019
Summary
We developed a plasmonic colloidosome-based single cell detector (PCSD) for sensitive detection of molecules secreted by single cells. This novel method enhances biotechnological applications by overcoming key detection bottlenecks.
Area of Science:
- Biotechnology
- Nanotechnology
- Analytical Chemistry
Background:
- Single-cell phenotyping based on secreted or consumed molecules is crucial but challenging in biotechnology.
- Existing methods face limitations in sensitivity and specificity for detecting these molecular interactions.
Purpose of the Study:
- To develop a novel platform for ultrasensitive detection of single-cell secretions.
- To address the bottleneck in single-cell analysis by enabling precise molecular detection.
Main Methods:
- Fabrication of plasmonic colloidosomes using dual-functionalized silver nanoparticles.
- Encapsulation of single cells within colloidosomes for localized molecular detection.
- Utilizing surface-enhanced Raman scattering (SERS) for sensitive and reproducible signal detection.
Main Results:
- The plasmonic colloidosome-based single cell detector (PCSD) demonstrated negligible SERS background interference.
- The platform achieved ultrasensitive SERS response and excellent signal reproducibility.
- Successfully detected lactate, a model molecule, secreted by single cells confined within colloidosomes.
Conclusions:
- The PCSD platform offers a promising new approach for single-cell analysis.
- This method effectively detects extracellular metabolites produced or consumed by individual cells.
- The technology has significant potential to advance biotechnological applications in cell analysis.
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