Opendata, web and dolomites

NMRNTECH SIGNED

NMR-based Sensor Technology at Nanoscale

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "NMRNTECH" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITAET STUTTGART 

Organization address
address: KEPLERSTRASSE 7
city: STUTTGART
postcode: 70174
website: www.uni-stuttgart.de

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 Germany [DE]
 Total cost 150˙000 €
 EC max contribution 150˙000 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2016-PoC
 Funding Scheme ERC-POC
 Starting year 2017
 Duration (year-month-day) from 2017-04-01   to  2018-03-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITAET STUTTGART DE (STUTTGART) coordinator 150˙000.00

Map

 Project objective

Nuclear Magnetic Resonance (NMR) spectrometry is the most widely used method in the spectrometry market. With applications in various areas such as geo exploration, material quality control, drug development, and biomedical imaging, NMR provides rich spectroscopic information of the structure for material analyses. Therefore, for advancing human health and science, NMR spectrometry and also microfluidics are widely adopted technologies in studying biological processes and thus utilised in many biomedical applications. However, given its low sensitivity, the technique is only applicable to large specimens. This proof-of-concept project develops novel atomic-size defect centres in diamond, which are superior to the current state-of-the-art magnetic field sensors in terms of spatial resolution, sensitivity and rugged design. Initial tests with single sensing defects confirm estimates on the achievable spatial resolution down to a few nanometers and reduction of volumetric sensitivity by factor of 108 as compared to the existing technologies. Through achieving this level, we are able to bring the full functionality and integration of NMR, i.e. molecular specificity to micro analytics. Therefore, the improvement of NMR sensitivity and the development of nanoscale NMR imaging, promises revolutionary impacts on the areas of bioscience and spectrometry technology, which in turn enables new applications in areas such as nanotechnology and bioanalytics. In this project, we’ll (1) demonstrate integration of a diamond-based NMR sensor into a microfluidic device and in magnetic storage system. To best prepare for the post-PoC commercialisation we’ll (2) test the NMR device in real-life industrial application, i.e. in characterization of hard-dick’s write-head. Moreover, we’ll also (3) carry out pre-commercialisation and networking activities, and (4) plan for the commercialisation of the novel NMR microfluidic sensor technology.

 Publications

year authors and title journal last update
List of publications.
2017 Prof. Dr. Joerg Wrachtrup, Dr. Friedemann Reinhard
European Patent No 15 794 171.7 based on PCT/EP2015/076418
published pages: , ISSN: , DOI:
2019-06-12

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "NMRNTECH" 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 "NMRNTECH" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.1.)

RECON (2019)

Reprogramming Conformation by Fluorination: Exploring New Areas of Chemical Space

Read More  

Life-Inspired (2019)

Life-inspired complex molecular systems controlled by enzymatic reaction networks

Read More  

EAST (2020)

Using Evolutionary Algorithms to Understand and Secure Web/Enterprise Systems

Read More