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SCENT SIGNED

SCENT: Hybrid Gels for Rapid Microbial Detection

Total Cost €

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EC-Contrib. €

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Partnership

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 SCENT project word cloud

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

pathogenic    microbial    selectivity    stability    databases    acquired    ways    group    identification    billion    customisable    infectious    organism    nose    spreading    spread    antimicrobial    bioinspired    characterise    semi    detection    exceeding    infected    volatiles    settings    unfortunately    create    sensors    explore    causing    employing    infections    burden    volatile    slow    resistant    24    aggressive    mimicking    clinical    biological    odorant    works    alarming    individuals    responsive    generate    forefront    environmental    bacteria    community    scientific    gels    tuberculosis    economic    resistances    area    rapid    complexity    intend    metabolites    alternative    signal    signatures    week    class    operation    36    infection    limited    noses    stimulus    global    olfactory    tackle    chemical    fast    therapy    limitation    tools    peptides    disease    pace    selective    annual    artificial    odour    place    hybrid    confinement    deaths    diagnostics    threat    receptors    bacterial    libraries    assemble    footprint    usually    25    discovered   

Project "SCENT" data sheet

The following table provides information about the project.

Coordinator
NOVA ID FCT - ASSOCIACAO PARA A INOVACAO E DESENVOLVIMENTO DA FCT 

Organization address
address: CAMPUS DE CAPARICA FACULDADE DE CIENCIAS E TECNOLOGIA DA UNIVERSIDADE NOVA DE LISBOA
city: CAPARICA
postcode: 2829 516
website: n.a.

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 Portugal [PT]
 Project website https://sites.fct.unl.pt/biomolecular_eng/pages/scent
 Total cost 1˙500˙000 €
 EC max contribution 1˙500˙000 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2014-STG
 Funding Scheme ERC-STG
 Starting year 2015
 Duration (year-month-day) from 2015-12-01   to  2020-11-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    NOVA ID FCT - ASSOCIACAO PARA A INOVACAO E DESENVOLVIMENTO DA FCT PT (CAPARICA) coordinator 1˙500˙000.00

Map

 Project objective

Antimicrobial resistant bacteria are a global threat spreading at an alarming pace. They cause over 25,000 annual deaths in the EU, and represent an economic burden exceeding €1.5 billion a year. Current methods for microbial detection in clinical settings take about 24-36 h, but for slow-growing bacteria, as those causing tuberculosis, it can take more than a week. Early-detection and confinement of the infected individuals are the only ways to provide adequate therapy and control infection spread. Thus, tools for rapid identification of bacterial infections are greatly needed. The analysis of microbial volatile metabolites is an area of increasing interest in diagnostics. Recent works demonstrate that fast microbial identification is possible with chemical nose sensors. These sensors usually present limited stability and selectivity, and require aggressive conditions during processing and operation. Bioinspired nose sensors employing biological olfactory receptors are an alternative. Unfortunately, their complexity and low stability are a limitation. My group recently discovered a new class of stimulus-responsive gels which tackle these key challenges. Our gels are customisable and have a low environmental footprint associated. I intend to further explore their potential to advance the field of odour detection, while providing new tools for the scientific community. I will focus specifically in fast microbial detection. To accomplish this, I propose to 1) build libraries of hybrid gels with semi-selective and selective properties, 2) generate odorant specific peptides mimicking olfactory receptors, 3) fully characterise the gels, 4) assemble artificial noses for analysis of microbial volatiles, 5) create databases with organism-specific signal signatures, 6) identify pathogenic bacteria, including those with acquired antimicrobial-resistances. This project is a timely approach which will place Europe in the forefront of infectious disease control.

 Publications

year authors and title journal last update
List of publications.
2019 Gaetano Maugeri, Iana Lychko, Rita Sobral, Ana C. A. Roque
Identification and Antibiotic-Susceptibility Profiling of Infectious Bacterial Agents: A Review of Current and Future Trends
published pages: 1700750, ISSN: 1860-6768, DOI: 10.1002/biot.201700750
Biotechnology Journal 14/1 2019-11-08
2019 Carina Esteves, Gonçalo M.C. Santos, Cláudia Alves, Susana I.C.J. Palma, Ana R. Porteira, João Filho, Henrique M.A. Costa, Vitor D. Alves, Bruno M. Morais Faustino, Isabel Ferreira, Hugo Gamboa, Ana C.A. Roque
Effect of film thickness in gelatin hybrid gels for artificial olfaction
published pages: 100002, ISSN: 2590-0064, DOI: 10.1016/j.mtbio.2019.100002
Materials Today Bio 1 2019-11-08
2017 Abid Hussain, Ana T. S. Semeano, Susana I. C. J. Palma, Ana S. Pina, José Almeida, Bárbara F. Medrado, Ana C. C. S. Pádua, Ana L. Carvalho, Madalena Dionísio, Rosamaria W. C. Li, Hugo Gamboa, Rein V. Ulijn, Jonas Gruber, Ana C. A. Roque
Tunable Gas Sensing Gels by Cooperative Assembly
published pages: 1700803, ISSN: 1616-301X, DOI: 10.1002/adfm.201700803
Advanced Functional Materials 27/27 2019-05-29
2017 Marta Sofia Banza Gonçalves
Extraction of plant biopolymers and their use in gas sensitive hybrid materials
published pages: , ISSN: , DOI:
2019-05-20
2018 Susana I. C. J. Palma, Ana P. Traguedo, Ana R. Porteira, Maria J. Frias, Hugo Gamboa, Ana C. A. Roque
Machine learning for the meta-analyses of microbial pathogens’ volatile signatures
published pages: , ISSN: 2045-2322, DOI: 10.1038/s41598-018-21544-1
Scientific Reports 8/1 2019-05-20
2018 Ana T.S. Semeano, Daniele F. Maffei, Susana Palma, Rosamaria W.C. Li, Bernadette D.G.M. Franco, Ana C.A. Roque, Jonas Gruber
Tilapia fish microbial spoilage monitored by a single optical gas sensor
published pages: 72-76, ISSN: 0956-7135, DOI: 10.1016/j.foodcont.2018.01.025
Food Control 89 2019-05-20
2016 Ana Patrícia Imaginário Traguedo
Theoretical and experimental approaches towards the non-invasive and selective detection of microbial pathogens
published pages: , ISSN: , DOI:
2019-05-20

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