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Opendata, web and dolomites

GEMS

Gluten Epitope Molecularly imprinted polymer Sensor

Total Cost €

EC-Contrib. €

Partnership

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Outcomes and
results

GEMS project word cloud

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

protein linear analytical outcomes validation people gluten devise epitope mg synthesis methodology true disorder assisted suffering scientific commercialization allergen introduction direct databases performed reactions chemosensor imprinting model mix rationalized synthetic performance complements chemical aid templates cd free population complete variety proteins portions computational polymers safely of ready monomers receptors preparation detector diet assets mips foregoing sequence mandatory independent autoimmune celiac recognition autoimmuno distinctive mip kg laboratory food coming contain disease healthcare samples detection imprinted prototype idea genetic eaten 3d bn fast triggers molecularly sensor solutions rational euros prolamins thiophene electrode template

Project "GEMS" data sheet

The following table provides information about the project.

Coordinator	UNIVERSITA DEGLI STUDI DI VERONA Organization address address: VIA DELL ARTIGLIERE 8 city: VERONA postcode: 37129 website: www.univr.it 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	Italy [IT]
Project website	http://www.dbt.univr.it/
Total cost	180˙277 €
EC max contribution	180˙277 € (100%)
Programme	1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
Code Call	H2020-MSCA-IF-2016
Funding Scheme	MSCA-IF-EF-ST
Starting year	2018
Duration (year-month-day)	from 2018-01-01 to 2019-12-31

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	UNIVERSITA DEGLI STUDI DI VERONA UNIVERSITA DEGLI STUDI DI VERONA Organization address address: VIA DELL ARTIGLIERE 8 city: VERONA postcode: 37129 website: www.univr.it contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	IT (VERONA)	coordinator	180˙277.00

Map

Project objective

Introduction-state of art of the problem: The main goal of the present proposal is to devise a chemical sensor capable of gluten detection in food. Gluten is the allergen that triggers autoimmuno reactions in people suffering of celiac disease (CD). CD is an autoimmune disorder, characterized a variety of genetic assets, which is estimated to affect the 1-2 % of the European population with direct costs on the healthcare estimated as 3 bn Euros/year. According to the state of the current knowledge gluten-free diet is mandatory in CD. Food shall contain less than 20 mg/kg gluten of to be considered as “gluten-free” and to be eaten safely.

Scientific part of the project: To face the problem of CD we are coming with the idea to devise a chemical sensor capable of fast gluten detection in food. To complete this task, we will design a recognition unit using the technology of molecularly imprinted polymers (MIPs), which allows to produce synthetic receptors by a template assisted synthesis. Being gluten a mix of proteins (prolamins) the design of the MIPs will be rationalized by the aid of the epitope imprinting methodology, that complements protein 3D- and linear sequence-databases, so to find distinctive portions of the protein to be used as templates. The next step is an electrode-MIP preparation based on thiophene monomers that will proceed through a foregoing rational design of the monomers selection by computational methods. In the third step we will focus on the study of the performance of the sensor both in model solutions and in real samples. Finally, validation on true samples will be performed by comparing our results to independent analytical methods.

Expected outcomes and impact of the work: As result of the proposed project, the laboratory model of the working gluten chemosensor will be developed. Such model will be useful to devise a prototype of a gluten detector ready for commercialization.

Publications

List of publications.
year	authors and title	journal	last update
2019	Zofia Iskierko, Piyush Sindhu Sharma, Krzysztof R. Noworyta, Pawel Borowicz, Maciej Cieplak, Wlodzimierz Kutner, Alessandra Maria Bossi Selective PQQPFPQQ gluten epitope chemical sensor with a molecularly imprinted polymer recognition unit and an extended-gate field-effect transistor transduction unit published pages: , ISSN: 0003-2700, DOI: 10.1021/acs.analchem.8b05557	Analytical Chemistry	2019-08-07

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