研究目的
To address the challenge of detecting highly diluted, small volume analytes in SERS by developing a hydrophobic SERS substrate using OTS capped Au ND arrays for enhanced sensitivity in biomedical applications.
研究成果
The OTS capped Au ND arrays exhibit hydrophobic properties that enable analyte concentration, leading to a 3-fold enhancement in SERS signal compared to hydrophilic arrays. This substrate shows high reproducibility and is effective for detecting low-concentration RNA, indicating potential for biomedical applications such as disease diagnosis. Future work should focus on optimizing hydrophobicity and droplet handling for even higher sensitivity.
研究不足
The study does not extensively discuss the scalability or long-term stability of the OTS coating, and the fabrication process, while simpler than lithographic methods, may still require optimization for mass production. Additionally, the enhancement is demonstrated with specific analytes (RhB and RNA), and generalizability to other biomolecules needs further investigation.
1：Experimental Design and Method Selection:
The study combines hydrophobic surfaces with nanoplasmonics by coating Au ND arrays with OTS to create a SERS substrate that concentrates analytes through hydrophobic condensation.
2：Sample Selection and Data Sources:
Au ND arrays were fabricated on glass plates using an alumina mask lift-off process, and OTS coating was applied. Analytes included Rhodamine B (1 mM) and RNA (1 μM).
3：List of Experimental Equipment and Materials:
Equipment includes SEM (Hitachi S4700), AFM (NANOS N8 NEOS, Bruker), contact angle analyzer (Phoenix 300, SEO Inc.), and Raman system (SENTERRA, Bruker Optics). Materials include glass plates, aluminum film, chromium, gold, OTS, toluene, ethanol, DI water, H3PO4, Rhodamine B, and RNA.
4：Experimental Procedures and Operational Workflow:
Fabricate Au ND arrays via anodization and evaporation, coat with OTS by immersion, characterize morphology and wettability using SEM, AFM, and contact angle measurements, perform SERS measurements with analytes, and analyze data.
5：Data Analysis Methods:
AFM roughness calculated using SPIP software, contact angles measured with sessile drop method, SERS spectra analyzed with OPUS software for baseline correction, and signal intensities compared quantitatively.
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