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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Peptidoglycans modulating the interaction of a bactericide compound with lipids at the air-water interface

Full text
Author(s):
Jaroque, Guilherme Nunez [1] ; Sartorelli, Patricia [1] ; Caseli, Luciano [1]
Total Authors: 3
Affiliation:
[1] Univ Fed Sao Paulo, Dept Chem, Diadema, SP - Brazil
Total Affiliations: 1
Document type: Journal article
Source: Chemistry and Physics of Lipids; v. 237, JUL 2021.
Web of Science Citations: 0
Abstract

A known monoterpene, named.-terpineol, was incorporated in mixed Langmuir monolayers composed of dipalmitoyl-phosphoethanolamine (DPPE) and peptidoglycans as a model of microbial membranes. Surface pressure and surface potential isotherms, dynamical surface rheology, Brewster angle microscopy (BAM), and infrared spectroscopy were employed to characterize the compound-membrane interactions. The compound expanded the monolayers denoting repulsive interactions. At 30 mN/m, the monolayer presented lower viscoelastic and in-plane elasticity parameters and an increased all-trans/gauche conformers ratio for the alkyl chains, confirming molecular order. The morphology of the monolayer was analyzed by BAM, which revealed a heterogeneous distribution of gamma-terpineol along the mixed monolayer, which tends to segregate. In conclusion, the compound changes the thermodynamic, electric, rheological, morphological, and structural properties of the peptidoglycan-DPPE monolayer, which may be essential to understand, at the molecular level, the action of bioactives in selected membrane models. (AU)

FAPESP's process: 19/03239-0 - Nanostructured interfaces for the investigation of bioactive substances in cell membrane models and for the construction of optoelectronic devices
Grantee:Luciano Caseli
Support Opportunities: Regular Research Grants
FAPESP's process: 18/22214-6 - Towards a convergence of technologies: from sensing and biosensing to information visualization and machine learning for data analysis in clinical diagnosis
Grantee:Osvaldo Novais de Oliveira Junior
Support Opportunities: Research Projects - Thematic Grants