Thesis Open Access
Danila del Giudice
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"> <identifier identifierType="DOI">10.5281/zenodo.7528362</identifier> <creators> <creator> <creatorName>Danila del Giudice</creatorName> <affiliation>Università degli Studi della Campania</affiliation> </creator> </creators> <titles> <title>Investigation on the applicability of immunodetection techniques to biomolecule samples concentrated via pyro-electrohydrodynamic jet</title> </titles> <publisher>Zenodo</publisher> <publicationYear>2023</publicationYear> <subjects> <subject>Alzheimer's disease</subject> </subjects> <dates> <date dateType="Issued">2023-01-12</date> </dates> <resourceType resourceTypeGeneral="Text">Thesis</resourceType> <alternateIdentifiers> <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/7528362</alternateIdentifier> </alternateIdentifiers> <relatedIdentifiers> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.7528361</relatedIdentifier> <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/sensapp_h2020_project</relatedIdentifier> </relatedIdentifiers> <rightsList> <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights> <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights> </rightsList> <descriptions> <description descriptionType="Abstract"><p>The project aim was to develop an innovative biosensor with a high sensitivity, to detect low<br> abundant protein biomarkers in small volumes of blood (&lt;1mL), pushing the sensitivity well below<br> 1 pg/mL, thus overcoming the current standard limits. Current clinical diagnostic criteria for AD<br> require a patient to have clear symptoms of dementia which are excluded from other brain disorders,<br> such as memory loss and confusion, inability to learn new things, difficulty with language and so on.</p></description> </descriptions> <fundingReferences> <fundingReference> <funderName>European Commission</funderName> <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/100010661</funderIdentifier> <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/829104/">829104</awardNumber> <awardTitle>Super-sensitive detection of Alzheimer’s disease biomarkers in plasma by an innovative droplet split-and-stack approach</awardTitle> </fundingReference> </fundingReferences> </resource>
All versions | This version | |
---|---|---|
Views | 31 | 31 |
Downloads | 17 | 17 |
Data volume | 316.2 MB | 316.2 MB |
Unique views | 27 | 27 |
Unique downloads | 14 | 14 |