Plasmonics in heavily-doped semiconductor nanocrystals

Heavily-doped semiconductor nanocrystals characterized by a tunable plasmonic band have been gaining increasing attention recently. Herein, we introduce this type of materials focusing on their structural and photo physical properties. Beside their continuous-wave plasmonic response, depicted both theoretically and experimentally, we also review recent results on their transient, ultrafast response. This was successfully interpreted by adapting models of the ultrafast response of gold nanoparticles.Comment: 20 pages review paper, 15 figure

Electrocatalyst Degradation in High Temperature PEM Fuel Cells

2013/2014Durability and cost are the major limiting factors in current PEM fuel cells development and commercialization. Electrocatalyst materials are the main responsible of both cost of the entire fuel cell stack and its degradation during operation [1,2]. In this research durability and degradation have been investigated in high temperature PEM fuel cells (HT-PEMFCs). Specific diagnostic techniques have been studied and tested for the investigation of electrocatalyst structural properties. An experimental sensibility analysis has been carried out with the purpose to assess advantages and limitations of the use of cyclic voltammetry to determine the electrocatalyst ECSA in H3PO4/PBI high temperature PEM fuel cells. Small angle x-ray scattering (SAXS) has been used to obtain structural information of the electrocatalyst nanoparticles, such as size and distribution. A procedure to characterize HT-PEMFCs MEAs by means of SAXS has been developed and tested. Transmission electron microscopy (TEM) is a complementary technique to SAXS: it has been used to validate the diagnostic method and to compare the results. Electrocatalyst evolution during long-term operation has been studied and related with performance loss. Specific stress test protocols have been developed to accelerate electrocatalyst degradation in commercial HT-PEMFC MEAs operated in single cell configuration. Two MEAs have been subjected to load cycling and one to start/stop cycling. One of the two testing protocols based on load cycling included open circuit (OC) condition in each cycle with the purpose to study the effects of frequent and short OCs during operation on MEA durability and electrocatalyst evolution. Specific start-up and shutdown procedures have been used in the start/stop test in order to limit other degradation mechanisms. Cell voltage and polarization curves have been recorded to monitor cell performance during the durability tests. The electrocatalyst structural evolution induced by load cycling has been characterized with SAXS and TEM. The stress test protocols have been effective to accelerate performance and electrocatalyst degradation of the MEA. The voltage decay rate at 200 mAcm-2 was higher than 25 μVh-1 in the samples subjected to load cycles. The start/stop cycling caused a performance degradation of 18 μV/cycle at 222 mAcm-2 during the first 450 cycles of the test. Regarding the diagnostic techniques used to characterize the electrocatalyst, cyclic voltammetry (CV) seems not to be particularly reliable when performed at high temperatures (>100°C) due to the high dependence of the voltammogram shape to humidity conditions. SAXS, on the other hand, seems to be an effective tool to investigate structural properties of PEMFC electrocatalysts. SAXS analysis showed that after 100,000 load cycles the mean size of the platinum nanoparticles more than doubled. TEM results varied about 30% from the SAXS results: this divergence could be due to a very different population size of the nanoparticles that have been analysed in the two methods. Moreover, the preparation of the sample used in TEM may have strongly influenced the electrocatalyst structure. Finally, a visualization of the electrocatalyst structural evolution on large areas of the MEAs subjected to load cycling showed preferential directions of the particles growth that could be due to the position of the channels on the flow-field plates of the fuel cell.XXVII Ciclo198

Patellar luxation in dogs

Patellar luxation is a common orthopedic problem in dogs. Medial luxation is more common than lateral luxation and is usually diagnosed in dogs of small breed. Diagnosis is based on clinical evidence of patellar instability; however, diagnostic imaging is required to assess the amount of skeletal deformity and then the most appropriate method of treatment. Surgical options include both soft tissue and osseous techniques, however, in most of the cases, a combination of more procedures is used to achieve the correction of the luxation. Complication rate is generally low and the most common complications include reluxation and implant-associated complications. Prognosis is generally favorable, with most of the dogs returning to normal limb function. This article describes patellar luxation features in dogs, including clinical presentation, diagnosis, and treatment options available

C60bioconjugation with proteins: Towards a palette of carriers for all pH ranges

The high hydrophobicity of fullerenes and the resulting formation of aggregates in aqueous solutions hamper the possibility of their exploitation in many technological applications. Noncovalent bioconjugation of fullerenes with proteins is an emerging approach for their dispersion in aqueous media. Contrary to covalent functionalization, bioconjugation preserves the physicochemical properties of the carbon nanostructure. The unique photophysical and photochemical properties of fullerenes are then fully accessible for applications in nanomedicine, sensoristic, biocatalysis and materials science fields. However, proteins are not universal carriers. Their stability depends on the biological conditions for which they have evolved. Here we present two model systems based on pepsin and trypsin. These proteins have opposite net charge at physiological pH. They recognize and disperse C60in water. UV-Vis spectroscopy, zeta-potential and atomic force microscopy analysis demonstrates that the hybrids are well dispersed and stable in a wide range of pH's and ionic strengths. A previously validated modelling approach identifies the protein-binding pocket involved in the interaction with C60. Computational predictions, combined with experimental investigations, provide powerful tools to design tailor-made C60@proteins bioconjugates for specific applications

The Mediterranean Diet in the Prevention of Degenerative Chronic Diseases

Degenerative chronic diseases are a problem related to the aging phenomenon of industrialized countries due to the increase of risk factors and related comorbidity such as overweight, obesity, metabolic syndrome, diabetes, hypertension and hyperlipidemia with a consequent increased risk of cardiovascular disease (CVD) and cancer. Moreover, the significant reduction of physical activity in daily life and the huge growth in food availability have considerably increased the risk of such diseases. Particular attention should be paid to primary prevention by means of health strategies based on improvement in lifestyle intervention such as implementation of Mediterranean diet and promotion of physical activity programs. In this chapter, the protective effect of Mediterranean diet and the role of certain foods and/or their constituents are analyzed; the possible mechanisms by which Mediterranean diet is effective in the prevention of cardiovascular and other chronic diseases are presented, in particular the effects exerted by antioxidants, polyphenols, fibers, unsaturated fatty acids, and alcohol. The genetic revolution in the past decades has produced new fields of study where the interaction between foods, nutrients, and our genetic makeup is investigated. The relationship between nutrigenetics and nutrigenomics and the Mediterranean diet are the future area that research should discover

β-Chitin nano-Fibrils Self-Assembly in Aqueous Environments

Chitin is one of the most studied biopolymers but the understanding of how it assembles from molecules to microfibers is still limited. Organisms are able to assemble chitin with precise control over polymorphism, texture, and final morphology. The produced hierarchical structure leads to materials with outstanding mechanical properties. In this study, the self-assembly in aqueous solutions of \u3b2-chitin nanofibrils, as far as possible similar to their native state, is investigated. These nanofibrils increase their tendency to self-assemble in fibers, up to millimetric length and 4810 \u3bcm thickness, with the pH increasing from 3 to 8, forming loosely organized bundles as observed using cryo-transmission electron microscopy. The knowledge from this study contributes to the understanding of the self-assembly process that follows chitin once extruded from cells in living organisms. Moreover, it describes a model system which can be used to investigate how other biomolecules can affect the self-assembly of chitin nanofibrils

Photonic Band Gap in 1D Multilayers Made by Alternating SiO2 or PMMA with MoS2 or WS2 monolayers

Atomically thin molybdenum disulphide (MoS2) and tungsten disulphide (WS2) are very interesting two dimensional materials for optics and electronics. In this work we show the possibility to obtain one-dimensional photonic crystals consisting of low-cost and easy processable materials, as silicon dioxide (SiO2) or poly methyl methacrylate (PMMA), and of MoS2 or WS2 monolayers. We have simulated the transmission spectra of the photonic crystals using the transfer matrix method and employing the wavelength dependent refractive indexes of the materials. This study envisages the experimental fabrication of these new types of photonic crystals for photonic and light emission applications.Comment: 8 pages, 5 figure

SQL versus NoSQL Databases for Geospatial Applications

In the last years, we are witnessing an increasing availability of geolocated data, ranging from satellite images to user generated content (e.g., tweets). This big amount of data is exploited by several cloud-based applications to deliver effective and customized services to end users. In order to provide a good user experience, a low-latency response time is needed, both when data are retrieved and provided. To achieve this goal, current geospatial applications need to exploit efficient and scalable geospatial databases, the choice of which has a high impact on the overall performance of the deployed applications. In this paper, we compare, from a qualitative point of view, four state-of-the-art SQL and NoSQL databases with geospatial features, and then we analyze the performances of two of them, selecting the ones based on the Database-as-a-service (DBaaS) model: Azure SQL Database and Azure DocumentDB (i.e., an SQL database versus a NoSQL one). The empirical evaluation shows pros and cons of both solutions and it is performed on a real use case related to an emergency management application