Amélioration des performances des recyclés en domaine routier par optimisation des unités de traitement

Amélioration des performances des recyclés en domaine routier par optimisation des unités de traitemen

Variability of ecomorphological and metabolic traits in plant species across abiotic gradients in the Kerguelen Islands (sub-Antarctic)

International audienc

An automated classification of recycled aggregates for the evaluation of product standard sompliance

Nowadays, recycling of construction and demolition waste (C&DW) is a challenging opportunity for the management of such end-of-life (EOL) materials through alternative methods to environmentally unsustainable methods (i.e., landfilling). In order to make recycling processes more effective, quality control systems are needed. In this work, the possibility of developing a sensorbased procedure to recognize different demolition waste materials from a recycling perspective was explored. An automatic recognition of different predefined constituent classes of recyclables (i.e., concrete, mortar, natural stones, unbound aggregates, clay masonry units, bituminous materials) and contaminants (i.e., glass, metals, wood, cardboard, and gypsum plaster), as established by an European standard, was carried out using hyperspectral imaging (HSI) working in the short-wave infrared (SWIR) range (1000–2500 nm). The implemented classification strategies, starting from the collected hyperspectral images of the analyzed constituents, allowed for the identification of the different material categories. Two main models were built for identifying contaminants in recyclable materials and categorizing material groups based on technical specifications. The results showed accurate category identification with Sensitivity and Specificity values over 0.9 in all models. The possibility of performing a full detection of C&DW recycling products can dramatically contribute to increasing the quality of the final marketable products and their commercial value, at the same time reducing the amount of waste and the consumption of primary raw materials

Variation in amine composition in plant species: how it integrates macroevolutionary and environmental signals.

Premise of the study: While plants show lineage-specific differences in metabolite composition, plant metabolites are also known to vary in response to the environment. The extent to which these different determinants of metabolite composition are mutually independent and recognizable is unknown. Moreover, the extent to which the metabolome can reconcile evolutionary constraint with the needs of the plant for rapid environmental response is unknown. We investigated these questions in plant species representing different phylogenetic lineages and growing in different subantarctic island environments. We studied their amines—metabolites involved in plant response to environmental conditions. • Methods: Nine species were sampled under high salinity, water saturation, and altitude on the Kerguelen Islands. Their profiles of free aromatic, aliphatic, and acetyl-conjugated amines were determined by HPLC. We related amine composition to species and environment using generalized discriminant analyses. • Key results: Amine composition differed significantly between species within the same environment, and the differences reflected phylogenetic positions. Moreover, across all species, amine metabolism differed between environments, and different lineages occupied different absolute positions in amine/environment space. Interestingly, all species had the same relative shifts in amine composition between environments. • Conclusion: Our results indicate a similar response of amine composition to abiotic environments in distantly related angiosperms, suggesting environmental flexibility of species is maintained despite major differences in amine composition among lineages. These results aid understanding of how in nature the plant metabolome integrates ecology and evolution, thus providing primordial information on adaptive mechanisms of plant metabolism to climate change

Change in plant phenotype along climate gradients: the effect of environmental conditions, species life histories and biogeographical origins.

communication oral