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A Label-free Technique for the Spatio-temporal Imaging of Single Cell Secretions
Published on: November 23, 2015
Highly sensitive nano-porous lattice biosensor based on localized surface plasmon resonance and interference
Se-Hyuk Yeom1, Ok-Geun Kim, Byoung-Ho Kang
1School of Electrical Engineering and Computer Science, Kyungpook National University, 1370 Sankyuk-dong, Bukgu, 702-701 Daegu, South Korea.
Optics Express
|November 24, 2011
Summary
We developed a novel biosensor using nanostructured anodized aluminum oxide (AAO) and gold. This highly sensitive sensor detects C-reactive protein (CRP) at concentrations as low as 1 fg/ml.
Area of Science:
- Nanotechnology
- Biomedical Engineering
- Materials Science
Background:
- Existing biosensors face limitations in sensitivity, selectivity, and dynamic range.
- Nanostructured anodized aluminum oxide (AAO) offers unique optical properties.
- Combining optical interference and localized surface plasmon resonance (LSPR) can enhance biosensor performance.
Purpose of the Study:
- To design and fabricate a highly sensitive biosensor utilizing nanostructured AAO substrates.
- To leverage dual optical properties (interference and LSPR) for improved biosensing.
- To demonstrate the sensor's capability for detecting C-reactive protein (CRP) antigen.
Main Methods:
- Fabrication of uniform periodic nanopore lattice AAO templates via two-step anodizing.
- Deposition of a gold coating onto the AAO substrate.
- Immobilization of C-reactive protein (CRP) antibody on the gold-coated AAO.
- Detection of CRP antigen (Ag) binding via monitoring reflectance shifts.
Main Results:
- The gold-deposited AAO substrate exhibited both optical interference and LSPR.
- The biosensor demonstrated high selectivity for CRP antigen detection.
- The sensor successfully measured CRP antigen concentrations down to 1 fg/ml.
Conclusions:
- The proposed AAO-based biosensor offers a simple, fast, and highly sensitive method for protein detection.
- The combination of optical interference and LSPR on AAO substrates overcomes limitations of traditional biosensors.
- This technology holds promise for real-time protein analysis in various applications.
