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Published on: August 7, 2014
Robust SERS Platform Enabled by Silver-Nanoparticle-Loaded Hydrogel Millibeads for Trace Detection in High-Salt and
Xiaotong Su1,2, Ke Liu1,2, Zhiyang Zhang1
1Shandong Key Laboratory of Coastal Zone Environmental Processes and Ecological Security, Coastal Zone Ecological Environment Monitoring Technology and Equipment Shandong Engineering Research Center, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China.
This study introduces a novel silver nanoparticle-loaded hydrogel millibead platform for highly sensitive and reproducible trace detection in complex samples. The innovative design overcomes limitations of conventional surface-enhanced Raman scattering methods, enhancing salt and protein tolerance.
Area of Science:
- Analytical Chemistry
- Materials Science
- Nanotechnology
Background:
- Conventional surface-enhanced Raman scattering (SERS) faces challenges in complex matrices like seawater and biofluids.
- Issues include salt-induced aggregation, protein adsorption, and coffee-ring effects, hindering reliable trace detection.
Purpose of the Study:
- To develop a robust SERS platform overcoming limitations of existing methods for trace analysis in complex samples.
- To enhance sensitivity, uniformity, and reproducibility while improving tolerance to salts and proteins.
Main Methods:
- Utilized a silver-nanoparticle (AgNP)-loaded hydrogel millibead (Ag@Gel-MB) platform.
- Employed evaporative shrinkage of the hydrogel millibead to concentrate analytes and AgNPs, forming dense hotspots.
- The 3D hydrogel network was leveraged to prevent salt-induced aggregation and exclude proteins.
Main Results:
- Achieved high sensitivity with a limit of detection (LOD) below 10-10 M for Nile Blue.
- Demonstrated excellent uniformity (RSD ∼ 4.36%) and batch reproducibility (RSD ∼ 4.39%).
- Showcased significant improvements in salt (150 mM NaCl) and protein (100 μg/mL BSA) tolerance (15-fold and 100-fold, respectively) compared to conventional methods.
- Successfully detected malachite green in seawater and fish serum.
Conclusions:
- The Ag@Gel-MB platform offers a robust and reliable solution for trace detection in challenging complex matrices.
- The platform effectively mitigates common SERS interferences, enabling practical applications in environmental and biological analyses.
- This approach avoids coffee-ring effects without requiring superhydrophobic surfaces.
