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Updated: Jun 30, 2026

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A Microfluidic Chip for ICPMS Sample Introduction
Published on: March 5, 2015
Improved microfluidic chip-based sequential-injection trapped-droplet array liquid-liquid extraction system for
1Institute of Microanalytical Systems, Department of Chemistry, Zhejiang University, Hangzhou, China.
Talanta
|September 23, 2008
Summary
This study presents an enhanced microfluidic system for sequential liquid-liquid extraction and chemiluminescence detection. The novel chip design improves stability and enables efficient Al(3+) determination with minimal sample use.
Area of Science:
- Analytical Chemistry
- Microfluidics
- Chemical Sensing
Background:
- Microfluidic systems offer advantages in sample handling and analysis.
- Improving the stability and reliability of microfluidic devices is crucial for practical applications.
- Sequential-injection analysis combined with liquid-liquid extraction enhances analytical sensitivity.
Purpose of the Study:
- To develop an improved microfluidic chip-based sequential-injection system for liquid-liquid extraction.
- To integrate chemiluminescence detection for enhanced sensitivity.
- To demonstrate the system's performance for the determination of aluminum ions (Al(3+)).
Main Methods:
- Fabrication of a microfluidic chip with recess arrays for droplet generation.
- Integration of a monolithic probe for improved system stability and reliability.
- Utilizing a slotted-vial array system for sequential sample and reagent introduction.
- Optimization of operational conditions for extraction and chemiluminescence detection.
Main Results:
- Achieved an enrichment factor of 85 within a 12-minute analysis cycle.
- Demonstrated low sample consumption (1.8 microL) and reagent consumption (120 nL/cycle).
- Obtained a detection limit of 1.6x10(-6) mol/L for Al(3+) with 4.5% R.S.D.
Conclusions:
- The developed microfluidic system offers a stable, reliable, and efficient platform for trace metal analysis.
- The system enables rapid sequential-injection liquid-liquid extraction and chemiluminescence detection.
- This approach significantly reduces sample and reagent consumption while maintaining high sensitivity.

