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Published on: July 21, 2023
ZnO/SiO2 core/shell nanowires for capturing CpG rich single-stranded DNAs.
Marina Musa1, Takao Yasui, Kazuki Nagashima
1Department of Biomolecular Engineering, Graduate School of Engineering, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8603, Japan. yasui@chembio.nagoya-u.ac.jp babaymtt@chembio.nagoya-u.ac.jp.
Researchers optimized Atomic Layer Deposition (ALD) on zinc oxide (ZnO) nanowires to create a core/shell device for capturing CpG-rich single-stranded DNA (ssDNA), achieving 86.7% efficiency for potential cancer gene analysis.
Area of Science:
- Materials Science and Nanotechnology
- Biomedical Engineering
- Molecular Biology
Background:
- Atomic Layer Deposition (ALD) offers conformal ultrathin coatings on complex nanostructures.
- Zinc oxide (ZnO) nanowires are versatile platforms for biosensing applications.
- CpG-rich single-stranded DNA (ssDNA) is relevant for cancer biomarker detection.
Purpose of the Study:
- To optimize ALD cycles for ZnO/SiO2 core/shell nanowires for enhanced ssDNA capture.
- To fabricate a microfluidic device using these modified nanowires for ssDNA detection.
- To investigate the relationship between ALD parameters and ssDNA capture efficiency.
Main Methods:
- Surface modification of ZnO nanowires using ALD with varying cycle numbers.
- Fabrication of a ZnO/SiO2 core/shell nanowire microfluidic device.
- Statistical analysis of structural changes and ssDNA capture efficiency.
- Biomolecule capture experiments with CpG-rich ssDNA.
Main Results:
- ALD successfully created conformal SiO2 shells on ZnO nanowires.
- Optimal ALD cycles were identified to tune surface properties and create effective trapping sites.
- The fabricated ZnO/SiO2 nanowire device achieved a high ssDNA capture efficiency of 86.7%.
- Structural analysis correlated ALD cycles with capture performance.
Conclusions:
- Optimized ALD on ZnO nanowires is effective for fabricating high-performance ssDNA capture devices.
- The core/shell nanowire design shows significant potential for biomedical applications, particularly in cancer gene analysis.
- This approach facilitates the development of advanced biosensors for detecting specific DNA sequences.
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