In this work, we report on the interaction of polyacrylic acid with phosphatidylcholine bilayers and monolayers in slightly acidic medium. We found that adsorption of polyacrylic acid on liposomes composed of egg lecithin at pH 4.2 results in the formation of small pores permeable for low molecular weight solutes. However, the pores were impermeable for trypsin indicating that no solubilization of liposomes occurred. The pores were permeable for both positively charged trypsin substrate N-benzoyl-l-arginine ethyl ester and negatively charged pH-indicator pyranine. Two lines of evidence were obtained confirming the involvement of the membrane dipole potential in the insertion of polyacrylic acid into lipid bilayer. (i) Addition of phloretin, a molecule which is known to decrease dipole potential of lipid bilayer, reduced the rate of a polyacrylic acid induced leakage of pyranine from liposomes. (ii) Direct measurements of air/lipid monolayer/water interface surface potential using Kelvin probe showed that adsorption of polyacrylic acid at pH 4.2 induced a decrease in both boundary and dipole potential by 37 and 62mV for ester lipid dioleoylphosphatidylcholine (DOPC). Replacement of DOPC by ether lipid 1,2-di-O-oleyl-sn-glycero-3-phosphocholine (DiOOPC) which is known to form monolayers and bilayers with only minor dipole component of membrane potential showed that addition of PAA produced similar response in the boundary potential (by 50mV) but negligible response in dipole potential of monolayer. These observations agree with our assumption that dipole potential is an important driving force for the insertion of polyacids into biological membranes.
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http://dx.doi.org/10.1016/j.bbamem.2011.06.006 | DOI Listing |
J Phys Chem B
January 2025
Institut für Physik, Universität Augsburg, 86159 Augsburg, Germany.
The alignment of permanent dipole moments and the resulting spontaneous orientation polarization (SOP) are commonly observed in evaporated neat films of polar organic molecules and lead to a so-called giant surface potential. In the case of mixed films, often enhanced molecular orientation is observed, i.e.
View Article and Find Full Text PDFJ Comput Chem
January 2025
Universidade de São Paulo, Instituto de Química, Departamento de Química Fundamental, São Paulo, Brazil.
Seventeen electronic states of the dication VH were characterized by the SA-CASSCF/icMRCI methodology using very extended basis sets; 11 were described for the first time. Potential energy curves were constructed and the associated spectroscopic parameters evaluated. Triplet and quintet states correlating with the V + H channel are thermodynamic stable.
View Article and Find Full Text PDFBMC Chem
January 2025
Department of Biochemistry, Faculty of Pharmacy, Adıyaman University, Adıyaman, 02000, Türkiye.
This study investigates the phenolic compounds (PC), volatile compounds (VC), and fatty acids (FA) of extra virgin olive oil (EVOO) derived from the Turkish olive variety "Sarı Ulak", along with ADMET, DFT, molecular docking, and gene network analyses of significant molecules identified within the EVOO. Chromatographic methods (GC-FID, HPLC) were employed to characterize FA, PC, and VC profiles, while quality parameters, antioxidant activities (TAC, ABTS, DPPH) were assessed via spectrophotometry. The analysis revealed a complex composition of 40 volatile compounds, with estragole, 7-hydroxyheptene-1, and 3-methoxycinnamaldehyde as the primary components.
View Article and Find Full Text PDFNeuroimage
January 2025
Dept. of Electrical and Computer Engineering, Worcester Polytechnic Institute, Worcester, MA, USA.
A fast BEM (boundary element method) based approach is developed to solve an EEG/MEG forward problem for a modern high-resolution head model. The method utilizes a charge-based BEM accelerated by the fast multipole method (BEM-FMM) with an adaptive mesh pre-refinement method (called b-refinement) close to the singular dipole source(s). No costly matrix-filling or direct solution steps typical for the standard BEM are required; the method generates on-skin voltages as well as MEG magnetic fields for high-resolution head models within 90 seconds after initial model assembly using a regular workstation.
View Article and Find Full Text PDFJ Phys Chem A
January 2025
Liaoning Key Laboratory of Manufacturing System and Logistics Optimization, Shenyang 110819, China.
Artificial intelligence technology has introduced a new research paradigm into the fields of quantum chemistry and materials science, leading to numerous studies that utilize machine learning methods to predict molecular properties. We contend that an exemplary deep learning model should not only achieve high-precision predictions of molecular properties but also incorporate guidance from physical mechanisms. Here, we propose a framework for predicting molecular properties based on data-driven electron density images, referred to as D3-ImgNet.
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