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Microdroplet extraction assisted ultrasensitive Raman detection in complex oil
Lingjun Zhang1, Jianfeng Sun1, Hong He1
1State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing Key Laboratory of Soft Condensed Matter Physics and Smart Materials, College of Physics, Chongqing University, Chongqing, 400044, China. yzhuang@cqu.edu.cn.
Lab on a Chip
|April 23, 2021
Summary
This study introduces a novel microdroplet extraction method for real-time Raman spectroscopy. It enables sensitive detection of trace substances like furfural in complex oils, overcoming traditional limitations.
Area of Science:
- Analytical Chemistry
- Spectroscopy
- Chemical Sensing
Background:
- Detecting trace substances in complex oils using Raman spectroscopy is challenging due to background noise and spectral interference.
- Existing methods like High Performance Liquid Chromatography (HPLC) are often time-consuming and require large sample volumes.
Purpose of the Study:
- To develop a simplified, sensitive, and real-time method for detecting trace substances in complex oils.
- To optimize microdroplet liquid-liquid extraction for enhanced Raman spectroscopy.
- To demonstrate the method's efficacy in detecting furfural, a critical marker in electrical oils.
Main Methods:
- Utilized a microfluidic chip for unbalanced chemical potential-driven liquid-liquid extraction of trace molecules from mineral oil into water microdroplets.
- Employed fluorescein in water microdroplets to monitor and optimize extraction efficiency in real-time.
- Applied optimized microdroplets for Raman spectroscopy detection of furfural in complex mineral oil.
Main Results:
- Achieved a highly sensitive limit of detection (LOD) of 26 ppb for furfural.
- Demonstrated a significant simplification of the measurement process compared to HPLC.
- Showcased a fast measurement time and reduced sample volume requirements.
Conclusions:
- The microdroplet-assisted Raman spectroscopy offers a robust and sensitive platform for real-time monitoring of trace substances in complex oils.
- This approach significantly advances oil quality analysis and expands the application scope of Raman spectroscopy in chem-/bio-sensing.
- The method holds promise for practical applications in electrical power equipment monitoring and other fields requiring trace analysis.
