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A Microfluidic Chip for ICPMS Sample Introduction
Published on: March 5, 2015
A microfluidic chip based sequential injection system with trapped droplet liquid-liquid extraction and
Hong Shen1, Qun Fang, Zhao-Lun Fang
1Chemistry Department, Zhejiang University (Xixi Campus), 310028, Hangzhou, China.
Lab on a Chip
|November 15, 2006
Summary
This study presents a novel microfluidic system for highly sensitive chemical analysis. The developed system uses trapped droplets for extraction and chemiluminescence detection, significantly reducing sample and reagent use.
Area of Science:
- Analytical Chemistry
- Microfluidics
- Chemical Sensing
Background:
- Traditional analytical methods often require large sample volumes and reagent quantities.
- Microfluidic systems offer miniaturization and enhanced control for analytical processes.
- Developing sensitive and efficient detection methods is crucial for trace analysis.
Purpose of the Study:
- To develop a microfluidic chip-based sequential injection system for high-sensitivity preconcentration and detection.
- To achieve low reagent and sample consumption using trapped droplet liquid-liquid extraction.
- To demonstrate the system's performance for the analysis of specific analytes.
Main Methods:
- Fabrication of a microfluidic glass chip with an extraction channel and arrayed recesses.
- Utilizing trapped organic droplets within recesses for liquid-liquid extraction preconcentration.
- Sequential injection of reagents for chemiluminescence detection of analytes.
Main Results:
- The system achieved high sensitivity with a detection limit of 10(-9) M for butyl rhodamine B.
- Demonstrated excellent precision with 4% relative standard deviation (RSD).
- Achieved low sample (2.7 microL) and reagent (160 nL) consumption within a 17-minute analytical cycle.
Conclusions:
- The developed microfluidic system enables highly sensitive and efficient preconcentration and detection.
- The trapped droplet liquid-liquid extraction approach minimizes sample and reagent requirements.
- This technology holds promise for sensitive trace analysis in various applications.
