6533b833fe1ef96bd129b762

RESEARCH PRODUCT

Quantitative Analysis of the Interactions of Metal Complexes and Amphiphilic Systems: Calorimetric, Spectroscopic and Theoretical Aspects.

Giampaolo BaroneCarmelo SgarlataTarita BiverRossella Migliore

subject

Molecular dynamics simulationsSpeciationCalorimetryBiochemistryBiological membraneAmphiphilic systemsKineticsMetal complexesSpectrophotometrySettore CHIM/03 - Chimica Generale E InorganicaCoordination ComplexesMetalsSolution thermodynamicsDensity functional theory calculationsDrug deliveryIsothermal titration calorimetryThermodynamicsMolecular Biologymetal complexes; amphiphilic systems; drug delivery; biological membrane; solution thermodynamics; speciation; isothermal titration calorimetry; spectrophotometry; molecular dynamics simulations; density functional theory calculations

description

Metals and metal-based compounds have many implications in biological systems. They are involved in cellular functions, employed in the formation of metal-based drugs and present as pollutants in aqueous systems, with toxic effects for living organisms. Amphiphilic molecules also play important roles in the above bio-related fields as models of membranes, nanocarriers for drug delivery and bioremediating agents. Despite the interest in complex systems involving both metal species and surfactant aggregates, there is still insufficient knowledge regarding the quantitative aspects at the basis of their binding interactions, which are crucial for extensive comprehension of their behavior in solution. Only a few papers have reported quantitative analyses of the thermodynamic, kinetic, speciation and binding features of metal-based compounds and amphiphilic aggregates, and no literature review has yet addressed the quantitative study of these complexes. Here, we summarize and critically discuss the recent contributions to the quantitative investigation of the interactions of metal-based systems with assemblies made of amphiphilic molecules by calorimetric, spectrophotometric and computational techniques, emphasizing the unique picture and parameters that such an analytical approach may provide, to support a deep understanding and beneficial use of these systems for several applications.

10.3390/biom12030408https://pubmed.ncbi.nlm.nih.gov/35327600