Computer-aided optical characterization and sensing applications: from minerals to waste

Optical based characterization techniques and related analytical methodologies, originally utilized in the mineral sector, can be profitably applied to solid waste streams products as resulting from different recycling processes. This approach, when supported by digital tools allows to perform a full characterization of compositional and textural attributes of the different particulate solids constituting the waste flow streams. To reach this goal specific physical-chemical attributes must be collected, analyzed and processed in order to define, according to market requirements, specific classes of quality to assume as reference to define optimal processing strategies. Computer-assisted optical characterization, coupled with hyperspectral sensing devices and embedding recognition/classification logics, can contribute to reach these goals, dramatically reducing analytical time and costs. In this work an example of this “transfer approach”, from minerals to waste, is presented, analyzed and discussed, with reference to a porphyry copper ore sample and a WEEE product

NIR spectral signatures of flexor and extensor muscles of the upper and lower limb in humans at varying lengths

NIR spectroscopy provides the spectral signatures (i.e. “fingerprints”) of living human muscles, which represent specific, accurate, and reproducible measures of their overall biological status. We showed that chemometric analysis applied to NIR spectra acquired from the upper limb distinguishes the biceps from the triceps. We acquired muscles reflectance spectra in the Vis-SWIR regions (350-2500 nm), utilizing an ASD FieldSpec 4™ Standard-Res Spectroradiometer with a spectral sampling capability of 1.4 nm at 350-1000 nm and 1.1 nm at 1001-2500 nm. Optical spectroscopy proves effective for studying human muscles in vivo and contribute to non-invasive more thorough evaluation of the muscular system

Hierarchical modelling for recycling-oriented classification of shredded spent flat monitor products based on hyperspectral imaging

The number of flat monitors from televisions, notebooks and tablets has increased dramatically in recent years, thus resulting in a corresponding rise in Waste from Electrical and Electronic Equipment (WEEE). This fact is linked to the production of new high-performance electronic devices. Taking into account a future volume growth trend of WEEE, the implementation of adequate recycling architectures embedding recognition/classification logics to handle the collected WEEE physical-chemical at-tributes, is thus necessary. These integrated hardware and software architectures should be efficient, reliable, low cost, and capable of performing detection/control actions to assess: i) WEEE composition and ii) physical-chemical attributes of the resulting recovered flow streams. This information is fundamental in setting up and implementing appropriate recycling actions. In this study, a hierarchical classification modelling approach, based on Near InfraRed (NIR)-Hyperspectral Imaging (HSI), was carried out. More in detail, a 3-step hierarchical modelling procedure was designed, implemented and set up in order to recognize different materials present in a specific WEEE stream: End-of-Life (EoL) shredded monitors and flat screens. By adopting the proposed approach, different categories are correctly recognized. The results obtained showed how the proposed approach not only allows the set up of a “one shot” quality control system, but also contributes towards improving the sorting process

Il riciclo meccanico dei rifiuti di apparecchiature elettriche ed elettroniche. Una sfida tecnologica

Due to the technological progress, electronics became more and more part of our lifestyle. Alongside the continuous progress, the volume of electric and electronic waste (WEEE) steady arising. The WEEE, because of a large number of hazardous substances in various equipment, such as lead in printed circuit boards and cadmium in semiconductor chips, could cause serious environmental problems if not properly handled at the end of their life cycle (i.e. recycling and/or disposed-off). However, a significant amount of valuable materials is contained in WEEE, such as metals, high-quality plastic and other materials/elements that can be profitably recovered. WEEE recycling is considered a real opportunity for contrasting an inbound threat for the Industry and for the Environment. For these reasons it is thus essential to improve the WEEE recycling process, both from an economic and an environmental point of view. These two goals can be reached adopting new, and up-to-date, processing/recycling strategies based on innovative technologies allowing to implement more environmentally friendly and economically sustainable processing

Near InfraRed-based hyperspectral imaging approach for secondary raw materials processing in solid waste sector

In secondary raw materials and industrial recycling sectors there is the need of solving quality control issues. The development and deployment of an effective, fast and robust sensing architecture able to detect, characterize and sort solid waste products is of primary importance. Near InfraRed (NIR) based HyperSpectral Imaging (HSI) techniques to detect materials to recycle and/or solid waste products to process represents an interesting solution to address quality control issues in these sectors. In this paper, are presented two different case studies on the utilization of NIR-HSI to detect contaminants in household plastic packaging waste and recognize materials occurring in processed monitors and flat screen waste. The proposed approach consists of a cascade detection based on Partial Least Squares – Discriminant Analysis (PLS-DA) classifiers applied on hyprspectral images acquired in NIR range (1000-1700 nm)

Hyperspectral imaging logics: efficient strategies for agri-food products quality control

The increasingly normative severity and market competitiveness have led the agriculture sector and the food industry to constantly look for logic improvements that can be applied in processes monitoring systems. In a context where fast, non-destructive and reliable techniques are required, image analysis-based methods have gained interest, thanks to their ability to spatially characterize heterogeneous samples. In such a scenario, HyperSpectral Imaging (HSI) is an emerging technique that provides not only spatial information of imaging systems, but even spectral information of spectroscopy. The utilization of the HSI approach opens new interesting scenario to quality control logics in agricultural and food processing/manufacturing sectors. Three different case studies are presented in this paper. In particular, the utilization of an HSI system, working in SWIR range, was applied for: i) detecting contaminants in dried fruits to be packaged, ii) identifying olive fruits attacked by olive fruit flies and iii) recognizing flour type. In particular, the proposed approach is based on the application of Partial Least Squares – Discriminant Analysis (PLS-DA) classification method to HyperSpectral images in Short Wave InfraRed (SWIR) range (1000-2500 nm). The proposed case studies demonstrate that this logic can be successfully utilized as a quality control system on agri-food products coming from different manufacturing stages, but it can even be seen as an analytical core for sorting engines

Anche le persone anziane hanno un futuro

Le persone non autosufficienti in Italia sono più di 3 milioni, circa la metà sono persone anziane, tra di loro ci sono centinaia di migliaia di donne. Le politiche di ripresa non possono tralasciare un tassello così importante, una proposta da cui partire

Hyperspectral imaging applied to WEEE plastic recycling. A methodological approach

In this study, the possibility of applying the hyperspectral imaging (HSI) technique in the Short-Wave InfraRed (SWIR) spectral range to characterize polymeric parts coming from Waste from Electric and Electronic Equipment (WEEE) is explored. Different case studies are presented referring to the identification of (i) plastic flakes inside a mixed waste stream coming from a recycling plant of monitors and flat screens, (ii) different polymers inside a mixed plastic waste stream coming from End-Of-Life (EOL) electronic device housings and trims, (iii) contaminants (i.e., metals) in a mix of shredded plastic particles coming from a recycling line of electrical cables, and (iv) brominated plastics in mixed streams constituted by small appliances (i.e., cathode-ray tube televisions and monitors). The application of chemometric techniques to hyperspectral data demonstrated the potentiality of this approach for systematic utilization for material characterization, quality control and sorting purposes. The experimental findings highlight the feasibility of employing this method due to its user-friendly nature and quick detection response. To increase and optimize WEEE valorization avoiding disposal in landfills or incineration, recycling-oriented characterization and/or quality control of the processed products are fundamental to identify and quantify substances to be recovered

Chi si cura delle persone anziane

Le proposte sull'assistenza alle persone anziane e disabili contenute nel piano nazionale per la ripresa sono vaghe e imprecise. Sintomo della scarsa conoscenza che circola, nelle stanze dove si decide, su una fetta di welfare che invece merita attenzione e competenza

Cosa prevede la riforma dell'assistenza

Analisi di una misura lungamente attesa per avvicinarci agli standard europei in materia di long term care. Solo il primo passo necessario di un percorso ancora lungo per garantire un tenore di vita dignitoso alle persone anziane non autosufficienti