Qualitative analysis to detect the presence of emerging contaminants in environmental matrices using HPLC-HRMS

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dc.contributor.advisor Gambaro, Andrea it_IT
dc.contributor.author Ceolotto, Nicola <1995> it_IT
dc.date.accessioned 2020-02-17 it_IT
dc.date.accessioned 2020-06-16T06:52:23Z
dc.date.issued 2020-03-04 it_IT
dc.identifier.uri http://hdl.handle.net/10579/16994
dc.description.abstract In the last decades, due to the growth of world population, there has been an increase in the using of lifestyle compounds, such as pharmaceuticals, personal care products, UV-filter, sweeteners and industrial products, e.g. solvents, pesticides, herbicides and flame retardants. This phenomenon has led to a spreading of these molecules into the environment, that could cause significant damages to the wildlife with side effects for the human health. In this work it is presented an approach to untargeted screening of water and sediment samples to detect any kind of emerging pollutants. In order to understand the different distribution of the analytes in different areas of Venice Lagoon, these areas have been divided into two classes: “uncontaminated sites” and “contaminated sites”. The method was performed based on previous works by trying to detect as much molecules as possible. The developed method provides three steps: (1) SPE extraction (using Oasis HLB) to extract analytes from the sample, (2) HPLC-HRMS (by HPLC-LTQ Orbitrap XL) to separate and identify the molecules, (3) data analysis (using the software RStudio) to confirm the identity of analytes and to understand data from an environmental point of view. Through this approach it has been possible to detect the classes of analytes and characterize different environmental matrixes from various areas of the Venice Lagoon. Not only can this approach be used for the detection of emerging contaminants, but also for other classes of analytes and their corresponding metabolites. it_IT
dc.language.iso en it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Nicola Ceolotto, 2020 it_IT
dc.title Qualitative analysis to detect the presence of emerging contaminants in environmental matrices using HPLC-HRMS it_IT
dc.title.alternative Qualitative analysis to detect the presence of emerging contaminants in environmental matrices using HPLC-HRMS it_IT
dc.type Master's Degree Thesis it_IT
dc.degree.name Chimica e tecnologie sostenibili it_IT
dc.degree.level Laurea magistrale it_IT
dc.degree.grantor Dipartimento di Scienze Molecolari e Nanosistemi it_IT
dc.description.academicyear 2018/2019, sessione straordinaria it_IT
dc.rights.accessrights closedAccess it_IT
dc.thesis.matricno 852078 it_IT
dc.subject.miur CHIM/01 CHIMICA ANALITICA it_IT
dc.description.note it_IT
dc.degree.discipline it_IT
dc.contributor.co-advisor it_IT
dc.date.embargoend 10000-01-01
dc.provenance.upload Nicola Ceolotto (852078@stud.unive.it), 2020-02-17 it_IT
dc.provenance.plagiarycheck Andrea Gambaro (gambaro@unive.it), 2020-03-02 it_IT


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