SensApp: A FET-Open project for developing a supersensor able to detect Alzheimer's disease biomarkers in blood

Romina Rega; Martina Mugnano; Danila Del Giudice; Simona Itri; Volodymyr Tkachenko; Veronica Vespini; Sara Coppola; Pietro Ferraro; Heidi Ottevaere; Yunfeng Nie; Sanna Uusitalo; Reinhard Schwoediauer; Martin Kaltenbrunner; Markku Känsäkoski; Emanuela Mazzon; Pier Luca Maffettone; Gaetano D'Avino; Simonetta Grilli

doi:10.1117/12.2596966

SensApp: A FET-Open project for developing a supersensor able to detect Alzheimer's disease biomarkers in blood

Romina Rega^*
, Martina Mugnano
, Danila Del Giudice
, Simona Itri
, Volodymyr Tkachenko
, Veronica Vespini
, Sara Coppola
, Pietro Ferraro
, Heidi Ottevaere
, Yunfeng Nie
, Sanna Uusitalo
, Reinhard Schwoediauer
, Martin Kaltenbrunner
, Markku Känsäkoski
, Emanuela Mazzon
, Pier Luca Maffettone
, Gaetano D'Avino
, Simonetta Grilli

^*Corresponding author for this work

BA6301 Optical measurements

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Abstract

The goal of the SensApp FET-Open project is to develop an innovative super-sensor that will be able to detect Alzheimer's disease (AD) biomarkers (β-amyloid, Tau and pTAU) in peripheral blood. Considering that nowadays an accurate diagnosis of AD requires the highly invasive withdrawal and analysis of cerebrospinal fluid, SensApp will represent a breakthrough in the field of AD diagnosis thanks to the ability to detect the early stage of the disease by a simple blood collection. We call Droplet-Split-and-Stack (DSS) the new technology that will emerge from SensApp. The achievement of SensApp goal is enabled by the interdisciplinary cooperation between different research institutions and one company involved in the key fields of the project, Vrije Universiteit Brussels, VTT Technical Research Centre of Finland, University of Linz, Ginolis Ltd, IRCCS Centre “Bonino Pulejo”, under the coordination of CNR-Institute of Applied Sciences and Intelligent Systems. This communication will illustrate the progress of the activities.

Original language	English
Title of host publication	Optical Methods for Inspection, Characterization, and Imaging of Biomaterials V
Editors	Pietro Ferraro, Simonetta Grilli, Monika Ritsch-Marte, Christoph K. Hitzenberger
Publisher	International Society for Optics and Photonics SPIE
ISBN (Electronic)	978-1-5106-4406-9
DOIs	https://doi.org/10.1117/12.2596966
Publication status	Published - 2021
MoE publication type	A4 Article in a conference publication
Event	Optical Methods for Inspection, Characterization, and Imaging of Biomaterials V 2021 - Virtual, Online, Germany Duration: 21 Jun 2021 → 25 Jun 2021

Publication series

Series	Proceedings of SPIE
Volume	11786
ISSN	0277-786X

Conference

Conference	Optical Methods for Inspection, Characterization, and Imaging of Biomaterials V 2021
Country/Territory	Germany
City	Virtual, Online
Period	21/06/21 → 25/06/21

Funding

The authors acknowledge the EU funding within the Horizon 2020 Program, under the Grant Agreement n. 829104.

Keywords

Alzheimer disease
Biosensors
Droplet-Spilt-and-Stack
SensApp project

Access to Document

10.1117/12.2596966

Cite this

Rega, R., Mugnano, M., Del Giudice, D., Itri, S., Tkachenko, V., Vespini, V., Coppola, S., Ferraro, P., Ottevaere, H., Nie, Y., Uusitalo, S., Schwoediauer, R., Kaltenbrunner, M., Känsäkoski, M., Mazzon, E., Maffettone, P. L., D'Avino, G., & Grilli, S. (2021). SensApp: A FET-Open project for developing a supersensor able to detect Alzheimer's disease biomarkers in blood. In P. Ferraro, S. Grilli, M. Ritsch-Marte, & C. K. Hitzenberger (Eds.), Optical Methods for Inspection, Characterization, and Imaging of Biomaterials V Article 1178605 International Society for Optics and Photonics SPIE. https://doi.org/10.1117/12.2596966

Rega, Romina ; Mugnano, Martina ; Del Giudice, Danila et al. / SensApp : A FET-Open project for developing a supersensor able to detect Alzheimer's disease biomarkers in blood. Optical Methods for Inspection, Characterization, and Imaging of Biomaterials V. editor / Pietro Ferraro ; Simonetta Grilli ; Monika Ritsch-Marte ; Christoph K. Hitzenberger. International Society for Optics and Photonics SPIE, 2021. (Proceedings of SPIE, Vol. 11786).

@inproceedings{fbf4b5ed1ad54e43b78c7163b4a8191c,

title = "SensApp: A FET-Open project for developing a supersensor able to detect Alzheimer's disease biomarkers in blood",

abstract = "The goal of the SensApp FET-Open project is to develop an innovative super-sensor that will be able to detect Alzheimer's disease (AD) biomarkers (β-amyloid, Tau and pTAU) in peripheral blood. Considering that nowadays an accurate diagnosis of AD requires the highly invasive withdrawal and analysis of cerebrospinal fluid, SensApp will represent a breakthrough in the field of AD diagnosis thanks to the ability to detect the early stage of the disease by a simple blood collection. We call Droplet-Split-and-Stack (DSS) the new technology that will emerge from SensApp. The achievement of SensApp goal is enabled by the interdisciplinary cooperation between different research institutions and one company involved in the key fields of the project, Vrije Universiteit Brussels, VTT Technical Research Centre of Finland, University of Linz, Ginolis Ltd, IRCCS Centre “Bonino Pulejo”, under the coordination of CNR-Institute of Applied Sciences and Intelligent Systems. This communication will illustrate the progress of the activities.",

keywords = "Alzheimer disease, Biosensors, Droplet-Spilt-and-Stack, SensApp project",

author = "Romina Rega and Martina Mugnano and \{Del Giudice\}, Danila and Simona Itri and Volodymyr Tkachenko and Veronica Vespini and Sara Coppola and Pietro Ferraro and Heidi Ottevaere and Yunfeng Nie and Sanna Uusitalo and Reinhard Schwoediauer and Martin Kaltenbrunner and Markku K{\"a}ns{\"a}koski and Emanuela Mazzon and Maffettone, \{Pier Luca\} and Gaetano D'Avino and Simonetta Grilli",

note = "Funding Information: The authors acknowledge the EU funding within the Horizon 2020 Program, under the Grant Agreement n. 829104.; Optical Methods for Inspection, Characterization, and Imaging of Biomaterials V 2021 ; Conference date: 21-06-2021 Through 25-06-2021",

year = "2021",

doi = "10.1117/12.2596966",

language = "English",

series = "Proceedings of SPIE",

publisher = "International Society for Optics and Photonics SPIE",

editor = "Pietro Ferraro and Simonetta Grilli and Monika Ritsch-Marte and Hitzenberger, \{Christoph K.\}",

booktitle = "Optical Methods for Inspection, Characterization, and Imaging of Biomaterials V",

address = "United States",

}

Rega, R, Mugnano, M, Del Giudice, D, Itri, S, Tkachenko, V, Vespini, V, Coppola, S, Ferraro, P, Ottevaere, H, Nie, Y, Uusitalo, S, Schwoediauer, R, Kaltenbrunner, M, Känsäkoski, M, Mazzon, E, Maffettone, PL, D'Avino, G & Grilli, S 2021, SensApp: A FET-Open project for developing a supersensor able to detect Alzheimer's disease biomarkers in blood. in P Ferraro, S Grilli, M Ritsch-Marte & CK Hitzenberger (eds), Optical Methods for Inspection, Characterization, and Imaging of Biomaterials V., 1178605, International Society for Optics and Photonics SPIE, Proceedings of SPIE, vol. 11786, Optical Methods for Inspection, Characterization, and Imaging of Biomaterials V 2021, Virtual, Online, Germany, 21/06/21. https://doi.org/10.1117/12.2596966

SensApp: A FET-Open project for developing a supersensor able to detect Alzheimer's disease biomarkers in blood. / Rega, Romina; Mugnano, Martina; Del Giudice, Danila et al.
Optical Methods for Inspection, Characterization, and Imaging of Biomaterials V. ed. / Pietro Ferraro; Simonetta Grilli; Monika Ritsch-Marte; Christoph K. Hitzenberger. International Society for Optics and Photonics SPIE, 2021. 1178605 (Proceedings of SPIE, Vol. 11786).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - SensApp

T2 - Optical Methods for Inspection, Characterization, and Imaging of Biomaterials V 2021

AU - Rega, Romina

AU - Mugnano, Martina

AU - Del Giudice, Danila

AU - Itri, Simona

AU - Tkachenko, Volodymyr

AU - Vespini, Veronica

AU - Coppola, Sara

AU - Ferraro, Pietro

AU - Ottevaere, Heidi

AU - Nie, Yunfeng

AU - Uusitalo, Sanna

AU - Schwoediauer, Reinhard

AU - Kaltenbrunner, Martin

AU - Känsäkoski, Markku

AU - Mazzon, Emanuela

AU - Maffettone, Pier Luca

AU - D'Avino, Gaetano

AU - Grilli, Simonetta

N1 - Funding Information: The authors acknowledge the EU funding within the Horizon 2020 Program, under the Grant Agreement n. 829104.

PY - 2021

Y1 - 2021

N2 - The goal of the SensApp FET-Open project is to develop an innovative super-sensor that will be able to detect Alzheimer's disease (AD) biomarkers (β-amyloid, Tau and pTAU) in peripheral blood. Considering that nowadays an accurate diagnosis of AD requires the highly invasive withdrawal and analysis of cerebrospinal fluid, SensApp will represent a breakthrough in the field of AD diagnosis thanks to the ability to detect the early stage of the disease by a simple blood collection. We call Droplet-Split-and-Stack (DSS) the new technology that will emerge from SensApp. The achievement of SensApp goal is enabled by the interdisciplinary cooperation between different research institutions and one company involved in the key fields of the project, Vrije Universiteit Brussels, VTT Technical Research Centre of Finland, University of Linz, Ginolis Ltd, IRCCS Centre “Bonino Pulejo”, under the coordination of CNR-Institute of Applied Sciences and Intelligent Systems. This communication will illustrate the progress of the activities.

AB - The goal of the SensApp FET-Open project is to develop an innovative super-sensor that will be able to detect Alzheimer's disease (AD) biomarkers (β-amyloid, Tau and pTAU) in peripheral blood. Considering that nowadays an accurate diagnosis of AD requires the highly invasive withdrawal and analysis of cerebrospinal fluid, SensApp will represent a breakthrough in the field of AD diagnosis thanks to the ability to detect the early stage of the disease by a simple blood collection. We call Droplet-Split-and-Stack (DSS) the new technology that will emerge from SensApp. The achievement of SensApp goal is enabled by the interdisciplinary cooperation between different research institutions and one company involved in the key fields of the project, Vrije Universiteit Brussels, VTT Technical Research Centre of Finland, University of Linz, Ginolis Ltd, IRCCS Centre “Bonino Pulejo”, under the coordination of CNR-Institute of Applied Sciences and Intelligent Systems. This communication will illustrate the progress of the activities.

KW - Alzheimer disease

KW - Biosensors

KW - Droplet-Spilt-and-Stack

KW - SensApp project

UR - https://www.scopus.com/pages/publications/85109628589

U2 - 10.1117/12.2596966

DO - 10.1117/12.2596966

M3 - Conference article in proceedings

AN - SCOPUS:85109628589

T3 - Proceedings of SPIE

BT - Optical Methods for Inspection, Characterization, and Imaging of Biomaterials V

A2 - Ferraro, Pietro

A2 - Grilli, Simonetta

A2 - Ritsch-Marte, Monika

A2 - Hitzenberger, Christoph K.

PB - International Society for Optics and Photonics SPIE

Y2 - 21 June 2021 through 25 June 2021

ER -

Rega R, Mugnano M, Del Giudice D, Itri S, Tkachenko V, Vespini V et al. SensApp: A FET-Open project for developing a supersensor able to detect Alzheimer's disease biomarkers in blood. In Ferraro P, Grilli S, Ritsch-Marte M, Hitzenberger CK, editors, Optical Methods for Inspection, Characterization, and Imaging of Biomaterials V. International Society for Optics and Photonics SPIE. 2021. 1178605. (Proceedings of SPIE, Vol. 11786). doi: 10.1117/12.2596966

SensApp: A FET-Open project for developing a supersensor able to detect Alzheimer's disease biomarkers in blood

Abstract

Publication series

Conference

Funding

Keywords

Access to Document

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SensApp: Super-sensitive detection of Alzheimer’s disease biomarkers in plasma by an innovative droplet split-and-stack approach

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SensApp: A FET-Open project for developing a supersensor able to detect Alzheimer's disease biomarkers in blood

Abstract

Publication series

Conference

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Projects

SensApp: Super-sensitive detection of Alzheimer’s disease biomarkers in plasma by an innovative droplet split-and-stack approach

Cite this