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COmpound COatings NUrturing applications in Tissue Engineering

Total Cost €


EC-Contrib. €






 COCONUTE project word cloud

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

techniques    mechanics    hindering    nature    limits    coconute    ranging    mentioned    liquids    thereby    technique    tissue    context    whom    routinely    time    adapt    artificial    reinforce    physical    resolved    gaining    layers    collaborate    tissues    coating    physics    chip    meet    sharing    thriving    laden    arrangements    multidisciplinary    training    mechanicians    me    cell    skin    regenerative    carry    living    distributions    turn    guarantee    modern    coatings    soft    ecosystem    particle    theoretical    emerges    suspension    perfect    deposition    inherent    delicate    cells    experts    expertise    host    exhibiting    tools    applicability    posed    supervisors    biomaterials    technologies    unknown    medicine    space    independent    experimental    engineering    group    manufacturing    vitro    electronics    manufacture    chances    setups    physicist    fluid    researcher    create    particles    obtain    dip    compound    semiconductor    bioengineering   

Project "COCONUTE" data sheet

The following table provides information about the project.


Organization address
address: CALLE MADRID 126
postcode: 28903

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 Spain [ES]
 Total cost 160˙932 €
 EC max contribution 160˙932 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2019
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2020
 Duration (year-month-day) from 2020-09-01   to  2022-08-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 Project objective

The deposition of particle-laden coatings is key to a number of modern technologies, ranging from semiconductor electronics to bioengineering. In the thriving field of regenerative medicine, deposition processes to manufacture artificial skin in vitro turn out to be particularly challenging. Because skin is composed of several layers with specific cell distributions, space-resolved deposition of cells has to be achieved to obtain viable tissues. However, the delicate nature of living cells and biomaterials strongly limits the number of available techniques, thereby hindering further advances in the field. In this context, COCONUTE emerges as a timely and essential initiative to adapt a well-known technique, dip-coating, to meet the challenges posed by current skin manufacturing technologies. I will investigate, using theoretical and experimental tools, key unknown aspects of the physics of dip-coating in the presence of two liquids, which may have particles in suspension. Gaining further understanding of the physics, I will be able to create compound coatings exhibiting well-controlled arrangements of particles. These particles will have physical properties similar to skin cells to guarantee the applicability of the results to tissue-on-a-chip setups. Not only the time to implement this project is now: the group and supervisors with whom I will carry out my research make a perfect ecosystem for me to turn the project into a success. Being a Soft Matter physicist by training, I will work in a group where fluid mechanicians collaborate routinely with experts in tissue engineering. Thus, the inherent multidisciplinary of the project will allow me to get training in the above-mentioned areas, while also sharing my expertise with the host group. This project will reinforce my chances of becoming an independent researcher in the fields of Soft Matter and Fluid Mechanics, with the focus on state-of-the-art bioengineering applications.

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

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