研究目的
Investigating the colloidal stability of surface-enhanced Raman scattering (SERS) nanotags in biological systems to improve the accuracy and reproducibility of SERS measurements.
研究成果
The study demonstrated that neither BSA nor silica coatings alone were sufficient to stabilize SERS nanotags in harsh ionic conditions. However, increasing protein thickness by including extra protein components in the detection environments and antibody functionalization improved stability. The correlation between aggregation states and SERS signal intensities underscores the necessity of defining SERS nanotag stability in specific application environments before use.
研究不足
The study is limited by the complexity of biological systems and the multifaceted interparticle forces that control colloidal stability. Additionally, the techniques used may have limitations in detecting semi-stable aggregates or when aggregates disaggregate rapidly under measurement conditions.
1:Experimental Design and Method Selection:
Utilized differential centrifugal sedimentation (DCS) for high-resolution and high-throughput characterization of SERS nanotag stability in various biological environments.
2:Sample Selection and Data Sources:
SERS nanotags coated with silica or bovine serum albumin (BSA) were prepared and their stability was tested in different solutions including 1× PBS, 1 M Tris-HCl, FPBS (1× PBS + 1% fetal bovine serum), cell culture medium (RF10: RPMI1640 + 10% FBS), and human blood.
3:List of Experimental Equipment and Materials:
Included a disc centrifuge (model DC24000 UHR) from CPS instrument Inc., UV-vis spectrophotometer (UV-2450; Shimadzu), TEM (Hitachi HT7700 microscope), and ZetaSizer 3000-HSa (Malvern Instrument).
4:Experimental Procedures and Operational Workflow:
SERS nanotags were incubated in different solutions over time, and their stability was assessed using DCS, UV-vis spectroscopy, TEM, and DLS. SERS signals were collected using a portable IM-52 Raman Microscope.
5:Data Analysis Methods:
The particle size distribution (PSD) was analyzed using DCS, and the correlation between nanotag aggregation states and SERS signal intensities was established.
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