Sviluppo di un metodo termoanalitico per la quantificazione di microplastiche in matrici complesse

Microplastics (MPs) are highly debated emerging contaminants that are widespread on Earth. Nowadays, assessment of the risk that MPs pose on human health and environment were not developed yet, and standardized analytical methods for their quantification in complex matrices do not exist. Therefore, the formulation of standards which regulating MPs emission in the environment is not possible. The purpose of this study was to develop and apply a method for the analysis of MPs in sewage sludges and water from a wastewater treatment plant (WWTP), due to the relevance of those matrices as important pathway for MPs to enter the environment. Seven polymers were selected, because of their relevance on market production and their frequency of occurrence in such plants: polyethylene terephthalate (PET), polyethylene (PE), polypropylene (PP), polystyrene (PS), polycarbonate (PC), polyvinyl chloride (PVC), and nylon 6 (PA-6). In the study, a pre-treatment procedure was optimised using Fenton’s reagent and analyses carried out by combining thermochemolysis with Py-GC-MS after sample filtration on quartz (0.3 µm). Polymer quantification was performed with solid polymer mixture in silica and good correlations were obtained with internal calibration. As main results, Fenton's reagent negatively affected the recovery of some polymers (PP, PE, PS, PA-6) and a possible matrix interference was noticed, especially for PET and PVC. The WWTP allowed a good abatement of PS, PE, PP and PVC (on average 90 %) and comparable results were hypothesised for the other polymers. Polymer concentrations is sewage sludges ranged between < 2 μg/gdry and 3.5 mg/ gdry, for PC and PVC, respectively. Possible overestimations for PET and PVC, due to matrix interreferences, were taken into account and discussed.

Feeding entrainment of locomotor activity and clock gene expression in Senegalese sole, Solea senegalensis

The present study was conducted to investigate the influence of restricted food access on Solea senegalensis behaviour and daily expression of clock genes in central (diencephalon and optic tectum) and pheripheral (liver) tissues. The Senegalese sole is a marine teleost fish belonging to the Class of Actinopterygii, Order Pleuronectiformes and Family Soleidae. Its geographical distribution in the Mediterranean sea is fairly broad, covering the south and east of the Iberian Peninsula, the North of Africa and Middle East until the coast of Turkey. From a commercial perspective Solea senegalensis has acquired in recent years, a key role in aquacolture industry of the Iberian Peninsula. The Senegalese sole is also acquiring an important relevance in chronobiological studies as the number of published works focused on the sole circadian system has increased in the last few years. The molecular mechanisms underlying sole circadian rhythms has also been explored recently, both in adults and developing sole. Moreover, the consideration of the Pleuronectiformes Order as one of the most evolved teleost groups make the Senegalese sole a species of high interest under a comparative and phylogenetic point of view. All these facts have reinforced the election of Senegalese sole as model species for the present study. The animals were kept under 12L:12D photoperiod conditions and divided into three experimental groups depending on the feeding time: fed at midlight (ML), middark (MD) or random (RND) times. Throughout the experiment, the existence of a daily activity rhythm and it synchronization to the light-dark and feeding cycles was checked. To this end locomotor activity was registred by means of two infrared photocells placed in pvc tube 10 cm below the water surface (upper photocell) and the other one was located 10 cm above the bottom of the tank (bottom photocell). The photocell were connected to a computer so that every time a fish interrupted the infrared light beam, it produced an output signal that was recorded. The number of light beam interruptions was stored every 10 minutes by specialized software for data acquisition.