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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.

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

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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