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Surface Enhanced Raman Spectroscopy Detection of Biomolecules Using EBL Fabricated Nanostructured Substrates
Published on: March 20, 2015
Improved solution-based SERS detection of creatinine by inducing hydrogen-bonding interaction for effective analyte
1Fitzpatrick Institute for Photonics, Durham, NC, 27708, USA; Department of Biomedical Engineering, Duke University, Durham, NC, 27708, USA.
We developed a new surface-enhanced Raman scattering (SERS) method using special nanoparticles to detect creatinine, a biomarker for chronic kidney disease (CKD), in bodily fluids like saliva and sweat.
Area of Science:
- Nanotechnology
- Biomedical Engineering
- Analytical Chemistry
Background:
- Solution-based surface-enhanced Raman scattering (SERS) is cost-effective but limited by weak biomolecule adsorption.
- Developing sensitive SERS platforms for disease biomarkers is crucial for early detection.
Purpose of the Study:
- To create a highly sensitive solution-based SERS sensing platform for creatinine detection.
- To overcome the limitations of weak adsorption in current SERS techniques.
Main Methods:
- Utilized mercaptopropionic acid (MPA)-capped silver-coated gold nanostars (SGNS@MPA) for enhanced analyte enrichment.
- Employed hydrogen bonding interactions in an alkaline medium (pH 9) to aggregate nanoparticles and amplify SERS signals.
- Quantitatively detected creatinine in noninvasive human fluids (saliva, sweat) under separation-free conditions.
Main Results:
- Achieved a detection limit of 0.1 nM for creatinine with an LOD of 14.6 pM.
- Demonstrated detection limits of 1 nM in saliva and sweat, with LODs of 0.136 nM and 0.266 nM, respectively.
- Showcased the platform's effectiveness in real-world, noninvasive samples.
Conclusions:
- The SGNS@MPA platform offers efficient molecular enrichment for improved SERS detection.
- This strategy enhances solution-based SERS for practical point-of-care and low-resource applications.
- Provides a novel approach for sensitive and quantitative detection of biomarkers in complex biological samples.
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