Opendata, web and dolomites

BioGraphING SIGNED

Biomolecule Sensing with Graphene-Integrated Nanogaps

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 BioGraphING project word cloud

Explore the words cloud of the BioGraphING project. It provides you a very rough idea of what is the project "BioGraphING" about.

stacking    discriminate    environment    closely    platform    temperature    inertness    ideal    free    peptides    diseases    mechanically    arrangement    bonds    inside    chemical    statistical    biophysics    electronic    exert    junctions    structure    bias    spaced    monitoring    charge    break    device    graphene    distance    individual    superior    contact    air    molecules    situ    modes    mcbj    degree    room    modulations    acids    simulations    conductance    electrode    vacuum    amino    quantum    first    architecture    trapping    picometer    electrodes    sensing    species    transport    biomolacular    composition    offers    model    resolution    gap    bonding    tunnelling    final    voltage    junction    functions    fingerprints    atomic    liquid    fingerprinting    electronics    dna    caused    thinness    sensitive    anchoring    single    monitor    biological    mcbjs    biomolecule    covalent    mechanical    cells    plane    origins    nanoscopic    function    label    combined    pi    data    molecule    biographing    protein    stability    molecular    size   

Project "BioGraphING" data sheet

The following table provides information about the project.

Coordinator
TECHNISCHE UNIVERSITEIT DELFT 

Organization address
address: STEVINWEG 1
city: DELFT
postcode: 2628 CN
website: www.tudelft.nl

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Netherlands [NL]
 Total cost 165˙598 €
 EC max contribution 165˙598 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2017
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2018
 Duration (year-month-day) from 2018-04-01   to  2020-03-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    TECHNISCHE UNIVERSITEIT DELFT NL (DELFT) coordinator 165˙598.00

Map

 Project objective

Monitoring the DNA and protein composition of cells is key to understanding most biological processes, including the molecular origins of specific diseases. To this end, the emerging field of molecular electronics offers unique opportunities for label-free single-biomolecule sensing. In particular, tunnelling current modulations caused by trapping an individual molecule in a nanoscopic gap between two electrodes can be used to discriminate species based on their electronic structure. The junction conductance is highly sensitive not only to the structure of the molecule, but also to the gap size, the voltage applied, the bonding arrangement inside the gap and the immediate molecular environment. Mechanically controlled break junctions (MCBJs) that allow the formation of closely-spaced electrodes with picometer resolution, can exert a degree of control over each of these parameters and therefore represent an ideal platform for in-situ studies at single-molecule level.

In BioGraphING, I will develop the first graphene MCBJ, a unique device that will be both a model system for studying charge transport in molecular junctions at room temperature, and a sensing platform for biomolacular fingerprinting. Graphene’s atomic thinness, chemical inertness and strong in-plane bonds will lead to a device architecture with superior mechanical stability and measurement resolution. Given that a robust and reliable contact to single molecules is crucial for high junction conductance, various anchoring modes of the molecules to the graphene electrodes will be investigated (e.g. covalent bonding, π-π stacking). I will monitor the molecular conductance as a function of electrode distance and bias voltage in air, vacuum and in liquid. Combined with quantum transport simulations and statistical data analysis my final goal is to establish molecular fingerprints for amino acids and peptides with specific biological functions, an important challenge in single-molecule biophysics.

 Publications

year authors and title journal last update
List of publications.
2018 Valentin Dubois, Shyamprasad N. Raja, Pascal Gehring, Sabina Caneva, Herre S. J. van der Zant, Frank Niklaus, Göran Stemme
Massively parallel fabrication of crack-defined gold break junctions featuring sub-3 nm gaps for molecular devices
published pages: , ISSN: 2041-1723, DOI: 10.1038/s41467-018-05785-2
Nature Communications 9/1 2020-03-23
2018 Sabina Caneva, Pascal Gehring, Víctor M. García-Suárez, Amador García-Fuente, Davide Stefani, Ignacio J. Olavarria-Contreras, Jaime Ferrer, Cees Dekker, Herre S. J. van der Zant
Mechanically controlled quantum interference in graphene break junctions
published pages: 1126-1131, ISSN: 1748-3387, DOI: 10.1038/s41565-018-0258-0
Nature Nanotechnology 13/12 2020-03-23

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "BIOGRAPHING" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "BIOGRAPHING" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.3.2.)

NarrowbandSSL (2019)

Development of Narrow Band Blue and Red Emitting Macromolecules for Solution-Processed Solid State Lighting Devices

Read More  

RipGEESE (2020)

Identifying the ripples of gene regulation evolution in the evolution of gene sequences to determine when animal nervous systems evolved

Read More  

5G-ACE (2019)

Beyond 5G: 3D Network Modelling for THz-based Ultra-Fast Small Cells

Read More