The detection of fungal contaminations, specifically moulds, in tomato sauce stored in the refrigerator is of great importance and very attractive in smart emerging applications. Using an electronic nose (e-nose) and a Fourier transform infrared (FTIR) spectrometer, we examined two sampling methods to early detect fungal contamination: the first method looks at the accumulated headspace while the second one at the actual headspace. Interestingly, we found that we can use only one sensor to detect the moulds even before their visual development.

The Best Approach for Early Detection of Fungi in Tomato Sauce

Palumbo D.;Quercia L.;Del Fiore A.;Bevivino A.
2020-01-01

Abstract

The detection of fungal contaminations, specifically moulds, in tomato sauce stored in the refrigerator is of great importance and very attractive in smart emerging applications. Using an electronic nose (e-nose) and a Fourier transform infrared (FTIR) spectrometer, we examined two sampling methods to early detect fungal contamination: the first method looks at the accumulated headspace while the second one at the actual headspace. Interestingly, we found that we can use only one sensor to detect the moulds even before their visual development.
2020
978-3-030-37557-7
978-3-030-37558-4
E-nose
Machine learning
Mould early detection
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12079/59143
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
social impact