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Effect of DNA Density on Nucleic Acid Detection Using Cross-Linking Aggregation of DNA-Modified Gold Nanoparticles
Yuki Tanaka1, Gen Hirao1, Nanami Fukuzumi1
1Department of Chemistry and Biology, Graduate School of Science and Engineering, Ehime University, 2-5 Bunkyo, Matsuyama, Ehime 790-8577, Japan.
Langmuir : the ACS Journal of Surfaces and Colloids
|February 17, 2025
Summary
Optimizing gold nanoparticle (AuNP) biosensors for genetic diagnosis involves controlling DNA density. Lowering single-stranded DNA (ssDNA) density on AuNPs enhances target ssDNA detection sensitivity.
Area of Science:
- Nanotechnology
- Biotechnology
- Molecular Diagnostics
Background:
- Gold nanoparticles (AuNPs) function as colorimetric biosensors, detecting molecular aggregation via color changes.
- Single-stranded DNA (ssDNA)-functionalized AuNPs (ssDNA-AuNPs) are established tools for genetic analysis.
Purpose of the Study:
- To investigate how the density of immobilized ssDNA on AuNPs impacts the sensitivity of target ssDNA detection.
- To compare the efficacy of two distinct ssDNA-AuNP cross-linking aggregation models: unidirectional (UD) and bidirectional (BD).
Main Methods:
- Utilized two cross-linking aggregation models (UD and BD) with ssDNA-AuNPs.
- Systematically varied the density of immobilized ssDNA probes on AuNPs.
- Assessed target ssDNA detection sensitivity across different ssDNA densities and model types.
Main Results:
- Lower immobilized ssDNA density significantly enhanced target ssDNA detection sensitivity in both UD and BD models.
- The UD aggregation model exhibited higher sensitivity than the BD model, potentially due to cross-linking efficiency.
- Sensitivity was also influenced by the number of bases between AuNPs at higher DNA densities.
Conclusions:
- Controlling the density of immobilized probe ssDNA is crucial for improving detection sensitivity in ssDNA-AuNP-based biosensors.
- Optimized ssDNA density enhances the duplex formation ratio, leading to more reliable genetic detection.
- Findings provide a foundation for developing more sensitive and accurate AuNP-based diagnostic tools.

