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Updated: May 3, 2026

Bacterial Detection & Identification Using Electrochemical Sensors
Published on: April 23, 2013
NSE protein detection in a microfluidic channel integrated an electrochemical biosensor
Chi Tran Nhu1, Loc Do Quang2, Chun-Ping Jen3,4
1Faculty of Electronics and Telecommunications, University of Engineering and Technology, Vietnam National University, Hanoi, Vietnam.
This study presents a novel microfluidic chip for detecting neuron-specific enolase (NSE) proteins. This innovation enables rapid point-of-care testing for early lung cancer diagnosis.
Area of Science:
- Biomedical Engineering
- Analytical Chemistry
- Nanotechnology
Background:
- Early lung cancer diagnosis is critical for patient survival.
- Neuron-specific enolase (NSE) is a potential biomarker for lung cancer.
- Current diagnostic methods can be time-consuming and require large sample volumes.
Purpose of the Study:
- To develop a rapid point-of-care microfluidic chip for NSE detection.
- To quantify NSE protein concentrations for early lung cancer diagnosis.
- To establish a foundation for a Lab-on-a-chip platform for NSE testing.
Main Methods:
- Fabrication of a microfluidic chip with an integrated electrochemical biosensor in a PDMS microchannel.
- Deposition of silver and silver chloride layers on the reference electrode.
- Immobilization of NSE antibodies on the working electrode for specific protein detection.
- Electrochemical impedance spectroscopy (EIS) to measure surface impedance changes upon NSE binding.
Main Results:
- A direct correlation was observed between NSE concentration and surface impedance.
- Charge transfer resistance increased from 24.54 MΩ to 89.18 MΩ with NSE concentrations from 10 to 1000 ng/mL.
- A logarithmic equation was established to quantify NSE concentration based on charge transfer resistance.
- The limit of detection (LoD) for NSE was determined to be approximately 1.005 ng/mL.
Conclusions:
- The developed microfluidic chip effectively detects and quantifies NSE proteins.
- The chip demonstrates potential for rapid, point-of-care lung cancer diagnosis.
- This technology provides a foundation for advanced Lab-on-a-chip diagnostic systems.
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