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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.

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

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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