Publications by authors named "C Derosa"

Article Synopsis
  • Research on PFAS (per- and polyfluoroalkyl substances) is focusing on developing effective remediation methods using new sorbents that utilize different interaction mechanisms, including hydrophobic, electrostatic, and fluorine-fluorine interactions.
  • A modified polystyrene-divinylbenzene polymer (Sepra-WAX-KelF-PEI) was created to improve sorption capacity, with tests showing enhanced performance compared to its predecessors (Sepra-WAX and Sepra-WAX-KelF) for adsorbing various PFAS compounds.
  • The study highlighted that Sepra-WAX-KelF-PEI achieved the highest average extraction capacity of 523 mg/g, demonstrating the importance of combining multiple interaction mechanisms for
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Background: Consolidative thoracic radiotherapy (TRT) has been commonly used in the management of extensive-stage small cell lung cancer (ES-SCLC). Nevertheless, phase III trials exploring first-line chemoimmunotherapy have excluded this treatment approach. However, there is a strong biological rationale to support the use of radiotherapy (RT) as a boost to sustain anti-tumor immune responses.

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The C-F alkyl structural backbone of per- and polyfluoroalkyl substances makes this class of molecules resistant to heat and degradation, leading to their high persistence and mobility in the environment and bioaccumulation in the tissues of living organisms. In this study, 15 PFAS with an alkyl chain length from C to C, currently monitored by the U.S.

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N-linked glycosylation is an important post-translational modification that is difficult to identify and quantify in traditional bottom-up proteomics experiments. Enzymatic deglycosylation of proteins by peptide:-glycosidase F (PNGase F) prior to digestion and subsequent mass spectrometry analysis has been shown to improve coverage of various N-linked glycopeptides, but the inclusion of this step may add up to a day to an already lengthy sample preparation process. An efficient way to integrate deglycosylation with bottom-up proteomics would be a valuable contribution to the glycoproteomics field.

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