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The paper deals with the development of an online UHPLC-MS/MS method for the identification and determination of 25 Endocrine Disrupting Chemicals (EDCs) belonging to different chemical classes (perfluorochemicals, bisphenols, alkylphenols, phthalates, and parabens). The study regards the possible EDC migration from different medical devices of diverse materials used in the routine hospitals for blood sampling or for the parenteral nutrition therapies. In order to evaluate the release of EDCs, the equipment used for blood sampling (syringes, butterfly, cannula-needle, microcapillary tube) was put in contact with a physiological solution at a prefixed time. As regards the migration tests carried out on the medical devices used in the parenteral nutrition therapy (infusion tubes, venous catheters), the catheters were undergone to internal contact with parenteral solution and external contact with physiological one, whereas the infusion tubes were subjected only to internal migration test with parenteral solution. The results demonstrated the released of some ECDs (such as parabens at the concentration of few pg mL−1, diethylphthalate and dibutylphthlate at ng mL−1, level), when using physiological solution as the leaching agent. In addition, the presence of a PFOS structural isomer was found at 29.0 ng mL-1: this compound was released in part from the infusion tubes and mostly from the venous catheters, particularly from silicone ones. Using a more lipophilic solution, such as parenteral preparations, a greater amount of EDCs was released, among which also the diethylhexylphthalate that was quantified in all the investigated devices (without highlighting particular trends or migration from PVC devices), but its concentration remained always lower than imposed maximum threshold limit on medical device of 0.1% w/w. The releases from the infusion tubes of the same materials (polyethylene) from different manufacturers are very comparable, whereas the catheter of silicone releases greater amount of EDCs than that of polyurethane.

A new approach for monitoring the state of conservation of cultural heritage objects surfaces is being developed. The technique utilizes multi-spectral imaging, multivariate analysis and statistical process control theory for the automatic detection of a possible deterioration process, its localization and identification, and the wavelengths most sensitive to detecting this before the human eye can detect the damage or potential degradation changes occur. A series of virtual degradation analyses were performed on images of parchment in order to test the proposed algorithm in controlled conditions. The spectral image of a Dead Sea Scroll (DSS) parchment, IAA (Israel Antiquities Authority) inventory plate # 279, 4Q501 Apocryphal Lamentations B, taken during the 2008 Pilot of the DSS Digitization Project, was chosen for the simulation.