Influence of pineapple,apple and melon by‐products on cookies: physicochemical and sensory aspects

Physicochemical and sensory effects were investigated regarding the partial substitution of wheat flour in cookies with flours made of pineapple, apple and melon by‐products, in the concentrations 5%, 10% and 15%. Cookies with 15% of melon flour were prominent in relation to the nutritional aspects, especially about the contents of fibres (4.67–6.46%) and ash (1.74–2.25%). The use of these by‐products resulted in slightly darker cookies, with variations in diameter and in the expansion factor. There was a positive influence of the use of the pineapple by‐product concerning consumers' preference. Additionally, the cookies with 15% of pineapple by‐product presented the highest acceptance rate (97%) and buying intention (53%). Therefore, the use of fruit by‐products in the development of cookies is a viable alternative which can be explored for nutritional, technological and sensory purposes by the food industry.     

Static analysis for discovering IoT vulnerabilities

The Open Web Application Security Project (OWASP), released the “OWASP Top 10 Internet of Things 2018” list of the high-priority security vulnerabilities for IoT systems. The diversity of these vulnerabilities poses a great challenge toward development of a robust solution for their detection and mitigation. In this paper, we discuss the relationship between these vulnerabilities and the ones listed by OWASP Top 10 (focused on Web applications rather than IoT systems), how these vulnerabilities can actually be exploited, and in which cases static analysis can help in preventing them. Then, we present an extension of an industrial analyzer (Julia) that already covers five out of the top seven vulnerabilities of OWASP Top 10, and we discuss which IoT Top 10 vulnerabilities might be detected by the existing analyses or their extension. The experimental results present the application of some existing Julia’s analyses and their extension to IoT systems, showing its effectiveness of the analysis of some representative case studies.

     

Magic-sets for localised analysis of Java bytecode

Static analyses based on denotational semantics can naturally model functional behaviours of the code in a compositional and completely context and flow sensitive way. But they only model the functional i.e., input/output behaviour of a program P, not enough if one needs P’s internal behaviours i.e., from the input to some internal program points. This is, however, a frequent requirement for a useful static analysis. In this paper, we overcome this limitation, for the case of mono-threaded Java bytecode, with a technique used up to now for logic programs only. Namely, we define a program transformation that adds new magic blocks of code to the program P, whose functional behaviours are the internal behaviours of P. We prove the transformation correct w.r.t. an operational semantics and define an equivalent denotational semantics, devised for abstract interpretation, whose denotations for the magic blocks are hence the internal behaviours of P. We implement our transformation and instantiate it with abstract domains modelling sharing of two variables, non-cyclicity of variables, nullness of variables, class initialisation information and size of the values bound to program variables. We get a static analyser for full mono-threaded Java bytecode that is faster and scales better than another operational pair-sharing analyser. It has the same speed but is more precise than a constraint-based nullness analyser. It makes a polyhedral size analysis of Java bytecode scale up to 1300 methods in a couple of minutes and a zone-based size analysis scale to still larger applications.     

Structural properties of fluorinated SiO2 thin films

Fluorinated SiO₂ (SiOF) films, prepared by plasma enhanced chemical vapour deposition from SiH₄, N₂O and CF₄ precursors, have been analysed by infrared (IR) spectroscopy and X-ray photoelectron spectroscopy (XPS) to extract chemical and structural information. Notwithstanding XPS reveals that fluorine concentrations are quite low (less than 4 at.%), the analysis of the Si–O–Si vibration modes in the IR spectra indicates that CF₄ addition involves a deeper modification of the film structure, than the simple formation of Si–F bonds. In particular, by increasing the F concentration in the oxides, the stretching frequency of the Si–O–Si bonds increases, while the bending frequency decreases. On the basis of the central force model, both observations are consistent with the occurrence of a Si–O–Si bond angle relaxation phenomenon, the importance of which increases with the fluorine concentration in the films.     

Direct detection of point mutations in nonamplified human genomic DNA

Ultrasensitive detection protocols not requiring polymerase chain reaction (PCR)-mediated target DNA amplification are expected to significantly improve our possibilities in several research and diagnostic applications for which minute cell quantities are available. For this reason we have tested a nanoparticle-enhanced surface plasmon resonance imaging (SPRI) sensing strategy to detect point mutations in nonamplified genomic DNA. We have used genomic DNAs, not subject to costly, time-consuming, and prone to contamination PCR-based amplification procedures, obtained from both healthy individuals and homozygous or heterozygous patients affected by β-thalassemia, in order to demonstrate the specificity and the sensitivity of the described sensing strategy. The assay we describe is ultrasensitive and convenient. Attomolar concentrations of target genomic DNA are detected, DNAs from healthy individuals and homozygous or heterozygous patients affected by β-thalassemia are discriminated, and only simple manipulations of the genetic samples are required before the analysis. The proposed ultrasensitive detection of DNA point mutations involved in genomic disorders possibly represents an important advantage in several biomedical applications.     

Designing of carbon nanofilaments-based composites for innovative applications

The catalytic growth of CNTs and/or CNFs polymer composites has been performed by means of the chemical vapour deposition of a C₂H₄/H₂ gas mixture on polymer supports (i.e. para-aramide powders and fibres) at 500–600 °C. By selecting suitable reaction parameters, the concentration and the growth level of the CNTs and/or CNFs on the polymer surface can be changed, according to the final properties of the obtained composite. Nanofilaments, 20÷120 nm in diameter formed at 500 °C on polymer supported Ni catalysts, give rise, at first, to a carbon-polymer composite. A more dense porous nanotissue, then generated at 600 °C, embeds the polymer substrate with formation of a carbon-carbon composite. In this work, the progressive formation of carbon-polymer and then carbon-carbon composites is investigated by SEM, TEM and AFM microscopies and by XRD analysis.