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Sequence Barcodes

Product identification using sequence-controlled oligomers

Total Cost €

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EC-Contrib. €

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Partnership

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Project "Sequence Barcodes" data sheet

The following table provides information about the project.

Coordinator
CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS 

Organization address
address: RUE MICHEL ANGE 3
city: PARIS
postcode: 75794
website: www.cnrs.fr

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 France [FR]
 Total cost 149˙784 €
 EC max contribution 149˙784 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2015-PoC
 Funding Scheme ERC-POC
 Starting year 2015
 Duration (year-month-day) from 2015-11-01   to  2017-04-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS FR (PARIS) coordinator 149˙784.00

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 Project objective

The aim of the project Sequence Barcodes will be to study the market potential of sequence-encoded oligomers developed and patented in the frame of the ERC starting grant project SEQUENCES (grant agreement n°258593, End-date: October 2014). In particular, we propose to use monodisperse oligomers with defined chain-lengths and monomer sequences as molecular barcodes for product identification. A code can be written in the oligomers using different monomers as an alphabet, for example using two (i.e. binary code), three, four or more monomers. The barcodes can also be read using sequencing techniques such as tandem mass spectrometry and nanopore sequencing. All the fundamental knowledge for preparing and sequencing these polymers has been identified in the frame of the project SEQUENCES and is available for a technological transfer to industry. Moreover, these synthetic polymers possess valuable advantages over DNA, which is often used in product identification technologies. Indeed, they are much simpler to synthesize and to use than natural biomacromolecules. Perhaps more importantly, our chemistry is very versatile and the molecular structure of the oligomers can be adapted to a customer need. Among possible applications, these oligomers can be used as molecular labels to tag high-value products. At present, there is limited prior art in this area of research using synthetic polymers. Therefore, the present project may open up important technological and commercial opportunities. Practically speaking, a business manager and a post-doctoral researcher will be hired in this project in order to bridge the gap between fundamental research and commercialization. For instance, a detailed market analysis, including a survey of potential industrial partners, will be done by the business manager. This will help to identify the most appropriate solution for commercializing our technology.

 Publications

year authors and title journal last update
List of publications.
2017 Niklas Felix König, Abdelaziz Al Ouahabi, Salomé Poyer, Laurence Charles, Jean-François Lutz
A Simple Post-Polymerization Modification Method for Controlling Side-Chain Information in Digital Polymers
published pages: , ISSN: 1433-7851, DOI: 10.1002/anie.201702384
Angewandte Chemie International Edition 2019-07-26
2017 Denise Karamessini, Benoit Eric Petit, Michel Bouquey, Laurence Charles, Jean-François Lutz
Identification-Tagging of Methacrylate-Based Intraocular Implants Using Sequence Defined Polyurethane Barcodes
published pages: 1604595, ISSN: 1616-301X, DOI: 10.1002/adfm.201604595
Advanced Functional Materials 27/3 2019-07-26
2017 Laurence Charles, Gianni Cavallo, Valérie Monnier, Laurence Oswald, Roza Szweda, Jean-François Lutz
MS/MS-Assisted Design of Sequence-Controlled Synthetic Polymers for Improved Reading of Encoded Information
published pages: 1149-1159, ISSN: 1044-0305, DOI: 10.1007/s13361-016-1543-5
Journal of The American Society for Mass Spectrometry 28/6 2019-07-26

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

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