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Alberto Venturello

Researcher at Polytechnic University of Turin

Publications -  31
Citations -  821

Alberto Venturello is an academic researcher from Polytechnic University of Turin. The author has contributed to research in topics: Porous silicon & Silicon. The author has an hindex of 14, co-authored 31 publications receiving 702 citations. Previous affiliations of Alberto Venturello include Instituto Politécnico Nacional.

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Surface modification of Ti–6Al–4V alloy for biomineralization and specific biological response: Part I, inorganic modification

TL;DR: A new surface treatment has been investigated in this research work, in order to improve tissue integration of titanium based implants and induce a bioactive behaviour, without the introduction of a coating, and preserving mechanical properties of Ti6Al4V substrates (fatigue resistance).
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Antibacterial and bioactive nanostructured titanium surfaces for bone integration

TL;DR: In this paper, an innovative and patented surface treatment based on acid etching and subsequent controlled oxidation in hydrogen peroxide, enriched with silver ions is described, which has been applied to commercially pure titanium (Ti-cp) and alloy Ti6Al4V.
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Porous silicon as efficient surface enhanced Raman scattering (SERS) substrate

TL;DR: In this article, the efficiency of nanostructures as surface enhanced Raman scattering (SERS) substrates is checked on cyanine-based dyes and horseradish peroxidase, evidencing detectable concentrations as low as 10 −7 to 10 −8 ǫM.
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Properties of poly(lactic acid) nanocomposites based on montmorillonite, sepiolite and zirconium phosphonate

TL;DR: In this article, an organically modified montmorillonite (CLO), unmodified sepiolite (SEP) and Zirconium phosphonate (ZrP) nanoparticles were obtained by melt blending.
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Simultaneous determination by NIR spectroscopy of the roasting degree and Arabica/Robusta ratio in roasted and ground coffee

TL;DR: In this paper, a model for the simultaneous determination of the roasting degree and of the Arabica/Robusta ratio was proposed, where the PLS algorithm was applied and a completely independent external set was used for the validation.