研究目的
Investigating the diffusion behavior of differently charged fluorescent molecules within self-assembled organic nanotubes (ONTs) to understand how electrostatic and non-coulombic interactions influence molecular transport, aiming to optimize ONTs for drug delivery and contaminant adsorption applications.
研究成果
The diffusion behavior of fluorescent molecules within ONTs is primarily controlled by electrostatic interactions with the protonated amine groups on the inner ONT surfaces. The study demonstrates the homogeneity of diffusion properties among individual ONTs, highlighting their potential for drug delivery and contaminant adsorption applications. The findings contribute to the design of organic nanotubes with optimized molecular transport properties.
研究不足
The study is limited by the temporal resolution of the CCD camera used in imaging FCS, which may not capture fast diffusion processes. Additionally, the influence of ionic strength on diffusion coefficients was relatively unclear, suggesting the need for further investigation into non-coulombic interactions.
1:Experimental Design and Method Selection:
Imaging fluorescence correlation spectroscopy (imaging FCS) was used to study the diffusion of fluorescent dyes within ONTs. Wide-field fluorescence video microscopy was employed to acquire data on dye-doped ONTs in aqueous solutions of varying ionic strengths and pH.
2:Sample Selection and Data Sources:
Anionic sulforhodamine B (SRB), zwitterionic/cationic rhodamine B (RB), and cationic rhodamine 123 (R123) were loaded into ONTs with cylindrical hollow structures.
3:List of Experimental Equipment and Materials:
NH2-ONTs10nm, fluorescent dyes (SRB, RB, R123), phosphate buffered saline (PBS), hydrochloric acid (HCl), sodium hydroxide (NaOH), o-phosphoric acid, 1-octanol, and glass coverslips.
4:Experimental Procedures and Operational Workflow:
ONTs were deposited onto glass coverslips, loaded with dyes, and fluorescence videos were recorded in PBS solutions of different pH and ionic strengths using an inverted epi-illumination microscope.
5:Data Analysis Methods:
Fluorescence intensity fluctuations were autocorrelated to determine apparent diffusion coefficients (D) using custom software written in LabView.
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