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The Best Approach for Early Detection of Fungi in Tomato Sauce

  • Domenico PalumboEmail author
  • Luigi Quercia
  • Antonella Del Fiore
  • Patrizia De Rossi
  • Annamaria Bevivino
Conference paper
  • 59 Downloads
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 629)

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.

Keywords

Mould early detection E-nose Machine learning 

Notes

Acknowledgements

This work was partially supported by Safe & Smart, Nuove tecnologie abilitanti per la food safety e l’integrità della filiera agro-alimentare in uno scenario globale, project N. CTN01_00230_248064, funded by the Italian Ministry of Education, Universities and Research (MIUR).

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Domenico Palumbo
    • 1
    Email author
  • Luigi Quercia
    • 1
  • Antonella Del Fiore
    • 1
  • Patrizia De Rossi
    • 1
  • Annamaria Bevivino
    • 1
  1. 1.ENEA, Centro Ricerche CasacciaRomeItaly

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