研究目的
To develop a simple, reproducible, and cost-effective SERS substrate using Blu-ray DVD for reliable detection and quantification of albumin, creatinine, and urea in urine samples for clinical diagnostics.
研究成果
The BRDVD-based SERS substrate is effective for enhancing Raman signals through GMR, enabling reliable detection and quantification of albumin, creatinine, and urea in urine at concentrations below normal clinical ranges. It offers a cost-effective and reproducible alternative for clinical diagnostics, with potential applications in other sensing areas.
研究不足
The substrate's performance may be affected by the orientation and distribution of AuNPs in the channels. The study uses artificial urine, which may not fully replicate real human urine samples. The Raman spectrometer's spot size covers multiple channels, averaging signals, which could affect precision. Long-term stability beyond 45 days was not tested.
1:Experimental Design and Method Selection:
The study involves designing a SERS substrate by trapping gold nanoparticles (AuNPs) in the nanochannels of a Blu-ray DVD (BRDVD) to exploit guided mode resonance (GMR) for enhancing Raman signals. Simulation using COMSOL Multiphysics
2:2 was performed to model field enhancement. Sample Selection and Data Sources:
Samples include Malachite Green (MG), 1,2 bis(4 pyridyl)ethylene (BPE), and artificial urine containing albumin, creatinine, and urea. Artificial urine was synthesized in the lab with specific concentrations.
3:List of Experimental Equipment and Materials:
BRDVD (SONY Inc., 25GB, 6X), AuNPs (synthesized in lab, ~40nm), chemicals from Merck, SRL, Himedia, and Sigma-Aldrich, Raman spectrometer (Enwave Optronics EZRaman-N), FESEM for imaging.
4:Experimental Procedures and Operational Workflow:
BRDVD pieces were cut, cleaned, treated with AuNP colloidal solution, and dried. Samples were applied to the substrate, and Raman signals were measured. For urine analysis, substrates were dipped in samples, rinsed, dried, and analyzed.
5:Data Analysis Methods:
Raman signal intensities were correlated with concentrations. Enhancement factor was calculated using standard equations. Limit of detection (LoD) was estimated from linear fits of signal intensity vs. concentration.
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