Highly Sensitive and Quantitative Magnetic Nanoparticle-Based Lateral Flow Immunoassay with an Atomic Magnetometer
Boyu Wang1, Tao Peng1, Zhiyuan Jiang1
1Center for Advanced Measurement Science, National Institute of Metrology, Beijing 100029, China.
ACS Sensors
|November 20, 2023
Summary
This study introduces a novel atomic magnetometer platform for precise, real-time quantification in magnetic nanoparticle-based lateral flow immunoassays (LFIA). This advancement significantly improves trace biomarker detection for point-of-care diagnostics.
Area of Science:
- Quantum sensing
- Biosensing technology
- Nanoparticle-based assays
Background:
- Lateral flow immunoassays (LFIA) are point-of-care diagnostics but suffer from poor quantification and precision.
- Magnetic nanoparticles (MNPs) enhance LFIA sensitivity, yet quantitative detection of trace biomarkers needs improvement.
- Existing magnetic detection methods for MNPs in LFIA are complex or lack sufficient sensitivity.
Purpose of the Study:
- To develop a real-time biosensing platform for quantitative detection in MNP-based LFIA.
- To enhance the precision and quantification capabilities of LFIA using atomic magnetometer technology.
- To establish a reliable method for detecting trace biomarkers with improved sensitivity.
Main Methods:
- Proposed a real-time biosensing platform utilizing a highly sensitive atomic magnetometer.
- Employed continuous, linear scanning of trace MNP labels to obtain residual flux density component spectra.
- Utilized a theoretical magnetic dipole model to verify the reliability of spectral analysis for quantification.
Main Results:
- Demonstrated a 100-fold enhancement in detection factor compared to optical methods for carcinoembryonic antigen (CEA).
- Achieved a low detection limit of approximately 0.01 ng mL⁻¹ for CEA.
- Presented a more straightforward detection mechanism than other magnetic detection approaches.
Conclusions:
- The atomic magnetometer platform offers superior sensitivity and quantification for MNP-based LFIA.
- This technology significantly overcomes the limitations of traditional LFIA methods.
- Results highlight the potential of atomic magnetometer quantum measurement techniques in intelligent diagnostics.


