4.7 Article

Langmuir monolayers as models to study processes at membrane surfaces

期刊

ADVANCES IN COLLOID AND INTERFACE SCIENCE
卷 208, 期 -, 页码 197-213

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.cis.2014.02.013

关键词

Monolayers; Bilayers; GIXD; IRRAS; Interactions; Lipids; DNA; Peptides; Nanoparticies; Interfacial reactions

资金

  1. Max Planck Society

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The use of new sophisticated and highly surface sensitive techniques as synchrotron based X-ray scattering techniques and in-house infrared reflection absorption spectroscopy (IRRAS) has revolutionized the monolayer research. Not only the determination of monolayer structures but also interactions between amphiphilic monolayers at the soft air/liquid interface and molecules dissolved in the subphase are important for many areas in material and life sciences. Monolayers are convenient quasi-two-dimensional model systems. This review focuses on interactions between amphiphilic molecules in binary and ternary mixtures as well as on interfacial interactions with interesting biomolecules dissolved in the subphase. The phase state of monolayers can be easily triggered at constant temperature by increasing the packing density of the lipids by compression. Simultaneously the monolayer structure changes are followed in situ by grazing incidence X-ray diffraction or IRRAS. The interactions can be indirectly determined by the observed structure changes. Additionally, the yield of enzymatic reaction can be quantitatively determined, secondary structures of peptides and proteins can be measured and compared with those observed in bulk. In this way, the influence of a confinement on the structural properties of biomolecules can be determined. The adsorption of DNA can be quantified as well as the competing adsorption of ions at charged interfaces. The influence of modified nanoparticles on model membranes can be clearly determined. In this review, the relevance and utility of Langmuir monolayers as suitable models to study physical and chemical interactions at membrane surfaces are clearly demonstrated. (C) 2014 Elsevier B.V. All rights reserved.

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