Impact of a model synovial fluid on supported lipid membranes.

The interaction of a model synovial fluid, here a solution of 3mg/mL hyaluronic acid (HA) in heavy water (D(2)O), with an oligolamellar stack of lipid (DMPC) membranes on silicon support has been studied by neutron reflectometry and infrared spectroscopy on the molecular scale at non-physiological and physiological conditions. The system under investigation represents a simple model for lipid-coated mammalian joints and other artificial implant surfaces. When exposed to pure D(2)O at 21°C, i.e. below the main phase transition of the system, the lipid membranes show a lamellar spacing of 65Å. Heating to 26°C results in detachment of all lipid bilayers except for the innermost lipid lamella directly adsorbed to the surface of the silicon support. On the contrary, when incubated in the solution of HA in D(2)O the oligolamellar lipid system starts swelling. In addition, heating to 39°C does not result in loss of the lipid membranes into the liquid phase. The interfacial lipid coating adopts a new stable lamellar state with an increase in d-spacing by 380% to 247Å measured after 43 days of incubation with the model synovial fluid. Potential consequences for joint lubrication and protective wear functionality are considered.

Decision support systems for chemical structure representation, reaction modeling, and spectra simulation.

The choice of an appropriate structure coding scheme is the secret to success in QSAR studies. Depending on the problem at hand, 2D or 3D descriptors have to be chosen; the consideration of electronic effects might be crucial, conformational flexibility has to be of special concern. Artificial neural networks, both with unsupervised and with supervised learning schemes, are powerful tools for establishing relationships between structure and physical, chemical, or biological properties. The EROS system for the simulation of chemical reactions is briefly presented and its application to the degradation of s-triazine herbicides is shown. It is further shown how the simulation of chemical reactions can be combined with the simulation of infrared spectra for the efficient identification of the structure of degradation products.