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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
All the elaborations in this research were done using Matlab 2015b (MathWorks).
References
Wilson AD, Baietto M (2009) Applications and advances in electronic-nose technologies. Sensors 9:5099–5148
Tang KT, Chiu SW, Pan CH, Hsieh HY, Liang YS, Liu SC (2010) Development of a portable electronic nose system for the detection and classification of fruity odors. Sensors 10:9179–9193. https://doi.org/10.3390/s101009179
Sberveglieri V, Falasconi M, Gobbi E, Núñez CE, Zambotti G, Pulvirenti A (2014) Candida milleri detected by electronic nose in tomato sauce. Procedia Eng 87:584–587
Pitt JI, Hocking AD (1999) Fungi and food spoilage. Aspen Publishers Inc., Gaithersburg, Maryland
Wani AH (2011) An overview of the fungal rot of tomato. Mycopath 9(1):33–38
Quercia L, Capuano R, Khomenko I, Catini A, Martinelli E, Paolesse R, Biasioli F, Di Natale C (2019) PTR-ToF-MS/QMB-electronic-nose synergies exploration: a case study. In: Poster at 8th international PTR-MS conference, 4–7 Feb 2019
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).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Palumbo, D., Quercia, L., Del Fiore, A., De Rossi, P., Bevivino, A. (2020). The Best Approach for Early Detection of Fungi in Tomato Sauce. In: Di Francia, G., et al. Sensors and Microsystems. AISEM 2019. Lecture Notes in Electrical Engineering, vol 629. Springer, Cham. https://doi.org/10.1007/978-3-030-37558-4_36
Download citation
DOI: https://doi.org/10.1007/978-3-030-37558-4_36
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-37557-7
Online ISBN: 978-3-030-37558-4
eBook Packages: Physics and AstronomyPhysics and Astronomy (R0)