Simulation Study of Chain-like Body Translocation through Conical Pores in Thick Membranes

Area of Science:

• Materials Science
• Physical Chemistry
• Computational Biology

Background:

• Artificial membranes are crucial for various applications, including filtration and energy storage.
• Understanding ion transport through nanopores is key to optimizing membrane performance.
• Conical pores offer potential advantages over traditional cylindrical pores for molecular transport.

Purpose of the Study:

• To investigate the ionic transport capabilities of artificial membranes with conical pores.
• To develop a statistical model for translocation time through conical pores.
• To analyze the impact of pore geometry and membrane thickness on translocation dynamics.

Main Methods:

• Simulating the translocation of a chain-like molecule through conical pores of variable thickness.
• Developing a statistical model for translocation time (τ).
• Analyzing the influence of membrane thickness (L) and pore diameters (ϕcis, ϕtrans) on τ.

Main Results:

• Conical pores exhibit superior ionic-transport capabilities compared to cylindrical pores.
• The randomness of translocation time (τ) is accurately described by Moyal distributions.
• The expected translocation time (τ) is proportional to membrane thickness (L^ξ), with ξ depending on pore diameters.

Conclusions:

• Artificial membranes with conical pores offer enhanced ionic transport.
• The developed statistical model accurately predicts translocation dynamics.
• Pore geometry and membrane thickness are critical parameters for controlling ion transport through artificial membranes.