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https://hdl.handle.net/1889/4429
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DC Field | Value | Language |
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dc.contributor.advisor | Corradini, Roberto | - |
dc.contributor.author | Neri, Martina | - |
dc.date.accessioned | 2021-07-16T07:01:35Z | - |
dc.date.available | 2021-07-16T07:01:35Z | - |
dc.date.issued | 2021 | - |
dc.identifier.uri | https://hdl.handle.net/1889/4429 | - |
dc.description.abstract | The present PhD thesis mainly focused on the development of peptide nucleic acids (PNAs) and modified PNA–based probes for applications in sensing devices and in functionalized nanostructures. Part of the research activity was in the frame of the TeachInParma program, based on findings of the European Project ULTRAPLACAD, and part of an ongoing MSCA-RISE project Nano-Oligomed. The research has been carried out in three different lines, all related to exploiting new possibilities in PNAs chemistry and their applications: i) synthesis of PNAs and modified PNAs, ii) hybridization and sensing studies; iii) combination of PNAs with inorganic nanocarriers for cellular experiments. | en_US |
dc.language.iso | Inglese | en_US |
dc.publisher | Università degli Studi di Parma. Dipartimento di Scienze chimiche, della vita e della sostenibilità ambientale | en_US |
dc.relation.ispartofseries | Dottorato di ricerca in Scienze chimiche | en_US |
dc.rights | © Martina Neri, 2021 | en_US |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internazionale | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | PNA | en_US |
dc.subject | diagnostic | en_US |
dc.subject | therapeutic | en_US |
dc.title | Peptide Nucleic Acid (PNAs) and modified PNAs-based strategies for advanced diagnostic and therapeutic applications | en_US |
dc.type | Doctoral thesis | en_US |
dc.subject.miur | CHIM/06 | en_US |
Appears in Collections: | Scienze chimiche. Tesi di dottorato |
Files in This Item:
File | Description | Size | Format | |
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Final_report PhD_Neri_submitted.pdf Restricted Access | 1.74 MB | Adobe PDF | View/Open Request a copy | |
Final thesis PhD_Neri_submitted.pdf | 10.57 MB | Adobe PDF | View/Open |
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