Electrochemical impedance spectrum reveals structural details of distribution of pores and defects in supported phospholipid bilayers.

In this study we developed a methodology for solving an inverse problem to obtain structural information about distribution of nanoscale defects in surface supported, tethered bilayer membranes (tBLMs) using the electrochemical impedance spectroscopy (EIS) technique. We demonstrate that the EIS spectra contain physical information about the electrical and structural parameters of tBLMs as well as information about distribution of density of defects in membranes. Such defects can be naturally occurring collapsed sites of bilayers due to imperfections of solid substrates onto which tBLMs are assembled. Also, the membrane defects can be introduced artificially by insertion of pore-forming toxin proteins into phospholipid bilayers or by other means such as electroporation. The proposed methodology can be used for the development of precision biosensors sensitive to agents impairing integrity of biological membranes, and in general studies of protein membrane interactions that involves damage of phospholipid bilayers.

Electrochemical assessment of dielectric damage to phospholipid bilayers by amyloid ß-Oligomers.

Amyloid beta (Aß1-42) oligomers produced in vitro with and without the oligomerization inhibitor hexafluoroisopropanol (HFIP) were studied and compared as agents inflicting damage to the phospholipid bilayers. Tethered lipid membranes (tBLMs) of different compositions were used as model membranes. Dielectric damage of tBLMs by Aß1-42 oligomers was monitored by the electrochemical impedance spectroscopy (EIS). Membranes containing sphingomyelin exhibited the highest susceptibility to Aß1-42 oligomers when assembled in the absence of an inhibitor. The activation barrier of ion translocation through the Aß1-42 oligomer entities in tBLMs was lowest in sphingomyelin membranes (<15 kJ/mol). This is consistent with the formation of water-filled, highly conductive (>50 pS) nanopores in tBLMs by Aß1-42 oligomers assembled without HFIP. Conversely, HFIP-generated Aß1- 42 oligomers exhibited conductance with high activation energies (>38 kJ/mol), suggesting the formation of assemblies with relatively narrow ion pores and the effective conductance in the range < 15 pS. Finally, the EIS data analysis revealed differences in the lateral distribution of Aß1-42 oligomers in tBLMs. The inhibitor-free Aß1-42 oligomers populate the tBLM surface in a random manner, whereas the HFIP-generated Aß1-42 oligomers tend to cluster forming surface areas with markedly different densities of Aß1-42 defects.

AI-based atomic force microscopy image analysis allows to predict electrochemical impedance spectra of defects in tethered bilayer membranes.

Atomic force microscopy (AFM) image analysis of supported bilayers, such as tethered bilayer membranes (tBLMs) can reveal the nature of the membrane damage by pore-forming proteins and predict the electrochemical impedance spectroscopy (EIS) response of such objects. However, automated analysis involving pore detection in such images is often non-trivial and can require AI-based object detection techniques. The specific object-detection algorithm we used to determine the defect coordinates in real AFM images was a convolutional neural network (CNN). Defect coordinates allow to predict the EIS response of tBLMs populated by the pore-forming toxins using finite element analysis (FEA) modeling. We tested if the accuracy of the CNN algorithm affected the EIS spectral features sensitive to defect densities and other physical parameters of tBLMs. We found that the EIS spectra can be predicted sufficiently well, however, systematic errors of characteristic spectral points were observed and need to be taken into account. Importantly, the comparison of predicted EIS curves with experimental ones allowed to estimate important physical parameters of tBLMs such as the specific resistance of submembrane reservoir. This reservoir separates phospholipid bilayer from the solid support. We found that the specific resistance of the reservoir amounts to [Formula: see text] [Formula: see text] which is approximately two orders of a magnitude higher compared to the specific resistance of the buffer bathing tBLMs studied in this work. We hypothesize that such effect may be related in part due to decreased concentration of ionic carriers in the submembrane due to decreased relative dielectric permittivity in this region.

Electrochemical Impedance Spectroscopy as a Convenient Tool to Characterize Tethered Bilayer Membranes.

In this paper, we describe the application of electrochemical impedance spectroscopy (EIS) to characterize process of formation and properties of solid-supported tethered bilayer membranes on solid conducting substrates. Along with the description of experimental procedures to prepare substrates and self-assembly of phospholipid bilayers onto gold-coated glass slides, we describe the detailed protocols of EIS measurements. We demonstrate the utility of EIS in the evaluation of the properties of both molecular anchor layers used to immobilize tBLMs as well as characterization of tBLMs. We show that the EIS methodology extends the applicability of this technique well beyond the mere evaluation of electric parameters. Specifically, we demonstrate how by using EIS one may evaluate both density and size of water-filled defects (ion-channels) in tBLMs, to determine the structural mode (homogeneous, heterogeneous, or clustered) of distribution of defects in tBLMs. Our methodology can be applied in both basic protein membrane interaction studies, as well as in the development of precision biosensoric systems with tBLMs as a sensing element.