Detection of fungal contamination of cereal grain samples by an electronic nose (Articolo in rivista)

Type
Label
  • Detection of fungal contamination of cereal grain samples by an electronic nose (Articolo in rivista) (literal)
Anno
  • 2006-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1016/j.snb.2005.12.047 (literal)
Alternative label
  • Paolesse R.; Alimelli A.; Martinelli E.; Di Natale C.; D'Amico A.; D'Egidio M. G.; Aureli G.; Ricelli A.; Fanelli C. (2006)
    Detection of fungal contamination of cereal grain samples by an electronic nose
    in Sensors and actuators. B, Chemical (Print)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Paolesse R.; Alimelli A.; Martinelli E.; Di Natale C.; D'Amico A.; D'Egidio M. G.; Aureli G.; Ricelli A.; Fanelli C. (literal)
Pagina inizio
  • 425 (literal)
Pagina fine
  • 430 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 119 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 6 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 2 (literal)
Note
  • ISI Web of Science (WOS) (literal)
  • Scopu (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Univ Roma Tor Vergata, Dept Chem Sci & Technol, Rome, I-00133 Italy; Univ Roma Tor Vergata, Dept Elect Engn, Rome, I-00133 Italy; CNR, IMM, Rome, I-00133 Italy; CRA Ist Sperimentale Cerealicoltura, Rome, I-00191 Italy; Univ Roma La Sapienza, Dipartimento Biol Vegetale, Rome, I-00165 Italy. (literal)
Titolo
  • Detection of fungal contamination of cereal grain samples by an electronic nose (literal)
Abstract
  • Fungal growth on cereal grains decreases their nutritional value and constitutes health hazards, probably, because of the production of toxic metabolites (mycotoxins). Therefore, attempts are coming out to detect and quantify the degree of fungal infection at the early stage of mold infection. One of the most promising techniques is the analysis of volatile compounds in the headspace gas surrounding the samples. The aim of this work was to study the possibility of the application of electronic nose for an early detection of volatile compounds in infected samples and to discriminate between non-infected and infected samples with two different species of fungi (Penicillium chrysogenum and Fusarium verticillioides). Moreover, GC-MS analysis of the headspaces of the same samples confirmed that electronic nose as a powerful tool is able to provide satisfactory indications about the rate of contamination. (literal)
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