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A Microfluidic Chip for the Versatile Chemical Analysis of Single Cells
Published on: October 15, 2013
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A label-free microfluidic biosensor for activity detection of single microalgae cells based on chlorophyll
Junsheng Wang1, Jinyang Sun, Yongxin Song
1College of Information and Science Technology, Dalian Maritime University, Dalian 116026, China. yqsun@dlmu.edu.cn.
Sensors (Basel, Switzerland)
|November 30, 2013
Summary
This study presents a novel microfluidic biosensor for detecting living microalgae cells using chlorophyll fluorescence. The system accurately distinguishes live from dead cells, crucial for ballast water analysis.
Area of Science:
- Environmental Science
- Biotechnology
- Analytical Chemistry
Background:
- Living microalgae cell detection is vital for ballast water management and analysis.
- Chlorophyll fluorescence serves as a reliable indicator of photosynthetic activity and cell viability in microalgae.
Purpose of the Study:
- To develop a novel microfluidic biosensor system for rapid and accurate detection of single microalgae cell viability.
- To assess the potential of chlorophyll fluorescence for distinguishing between living and dead microalgae cells.
Main Methods:
- A microfluidic biosensor system was designed, incorporating a laser diode, photodiode detector, signal analysis circuit, and a microfluidic chip.
- The system utilizes chlorophyll fluorescence to detect and differentiate microalgae cell viability.
- Six different microalgae species were tested, including both living and dead samples.
Main Results:
- The developed biosensor successfully distinguished between living and dead microalgae cells.
- The system demonstrated the capability to detect microalgae cells as small as 3 μm.
- Detection sensitivity for smaller cells can be enhanced by increasing excitation light power.
Conclusions:
- The novel microfluidic biosensor system offers a promising solution for in situ analysis of microalgae viability.
- This technology has significant potential for improving ballast water treatment and monitoring processes.

