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Trap-Based Microfluidic Device with Retrievable Droplet for the Analysis of Pollutants from Slurry Solutions
Sung Wook Choi1,2, Dong Hyeong Kim1, Soo-Hwan Jeong1
1School of Chemical Engineering and Applied Chemistry, Kyungpook National University, Daegu 41566, Republic of Korea.
ACS Sensors
|October 13, 2025
Summary
This study introduces a novel microfluidic device for efficient liquid-liquid microextraction (LLME) from complex samples, eliminating the need for solid removal. This innovation simplifies trace analyte analysis in environmental and biological samples.
Area of Science:
- Analytical Chemistry
- Microfluidics
- Sample Preparation
Background:
- Liquid-liquid microextraction (LLME) is a valuable technique for trace analyte analysis.
- A key limitation of LLME is the requirement for sample pretreatment to remove solids, risking analyte loss.
- Existing methods struggle with complex matrices containing particulate matter.
Purpose of the Study:
- To develop a microfluidic device for direct LLME from slurry solutions.
- To eliminate the need for pre-extraction solid removal steps.
- To demonstrate efficient and simplified trace analyte extraction from challenging samples.
Main Methods:
- A trap-based microfluidic device with a retrievable 1-Octanol extractant was designed.
- The device facilitates direct contact between sample solution and extractant in a microchannel.
- Nile red was used as a model analyte to optimize extraction parameters (concentration, flow rate).
Main Results:
- The microfluidic device enabled direct microextraction from slurry solutions without prior solid removal.
- Successful extraction of perfluorooctanoic acid (PFOA) from water was demonstrated.
- Trace amounts of carbamazepine (CBZ) were extracted from a concentrated sand suspension and analyzed via HPLC.
Conclusions:
- The developed microfluidic device offers a one-step solution for LLME from samples containing solids.
- This approach simplifies sample preparation, reduces analyte loss, and enhances analytical efficiency.
- The technology holds potential for applications in drug detection, environmental monitoring, and food safety analysis.

