In this work we study (i) the formation and stabilization of silver nanoparticles in a bioactive chitosan-derived polysaccharide solution, (ii) the antimicrobial properties, either in solution or in 3D hydrogel structures, obtained by mixtures with the polysaccharide alginate, and (iii) the cytotoxicity of the latter nanocomposite materials on different eukaryotic cell lines. Antimicrobial results show that these nanocomposite systems display a very effective bactericidal activity toward both Gram+ and Gram- bacteria. However, the hydrogel does not show any cytotoxic effect toward three different eukaryotic cell lines. This is due to the fact that the nanoparticles, immobilized in the gel matrix, can exert their antimicrobial activity by simple contact with the bacterial membrane, while they can not be uptaken and internalized by eukaryotic cells. This novel finding could advantageously contribute to responding to the growing concerns on the toxicity of nanoparticles and facilitate the use of silver-biopolymer composites in the preparation of biomaterials.

Alginate/hydroxyapatite composite scaffolds were developed using a novel production design. Hydroxyapatite (HAp) was incorporated into an alginate solution and internal gelling was induced by addition of slowly acid hydrolyzing d-gluconic acid delta-lactone (GDL) for the direct release of calcium ions from HAp. Hydrogels were then freeze-casted to produce a three-dimensional isotropic porous network. Scanning electron microscopy (SEM) observations, confocal laser scanning microscopy (CLSM) and microcomputed tomography (micro-CT) analysis of the scaffolds showed an optimal interconnected porous structure with pore sizes ranging between 100 and 300 microm and over 88% porosity. Proliferation assay and SEM observations demonstrated that human osteosarcoma cell lines were able to proliferate, maintain osteoblast-like phenotype and massively colonize the scaffold structure. Overall, these combined results indicate that the novel alginate based composites efficiently support the adhesion and proliferation of cells showing at the same time adequate structural and physical-chemical properties for being used as scaffolds in bone tissue engineering strategies.

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Raman mapping in combination with uni- and multi-variate methods of data analysis is applied to articular cartilage samples. Main differences in biochemical composition and collagen fibers orientation between superficial, middle and deep zone of the tissue are readily observed in the samples. Collagen, non-collagenous proteins, proteoglycans and nucleic acids can be distinguished on the basis of their different spectral characteristics, and their relative abundance can be mapped in the label-free tissue samples, at so high a resolution as to permit the analysis at the level of single cells. Differences between territorial and inter-territorial matrix, as well as inhomogeneities in the inter-territorial matrix, are properly identified. Multivariate methods of data analysis prove to be complementary to the univariate approach. In particular, our partial least squares regression model gives a semiquantitative mapping of the biochemical constituents in agreement with average composition found in the literature. The combination of hierarchical and fuzzy cluster analysis succeeds in detecting variations between different regions of the extra-cellular matrix. Because of its characteristics as an imaging technique, Raman mapping could be a promising tool for studying biochemical changes in cartilage occurring during aging or osteoarthritis.