A Simple Microwave Imaging System for Food Product Inspection through a Symmetry-Based Microwave Imaging Approach.

antipodal Vivaldi antenna food inspection microwave imaging non-invasive diagnostic

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
24 Dec 2023
Historique:
received: 28 10 2023
revised: 16 12 2023
accepted: 21 12 2023
medline: 11 1 2024
pubmed: 11 1 2024
entrez: 11 1 2024
Statut: epublish

Résumé

In the food industry, there is a growing demand for cost-effective methods for the inline inspection of food items able to non-invasively detect small foreign bodies that may have contaminated the product during the production process. Microwave imaging may be a valid alternative to the existing technologies, thanks to its inherently low-cost and its capability of sensing low-density contaminants. In this paper, a simple microwave imaging system specifically designed to enable the inspection of a large variety of food products is presented. The system consists of two circularly loaded antipodal Vivaldi antennas with a very large operative band, from 1 to 15 GHz, thus allowing a suitable spatial resolution for different food products, from mostly fatty to high water-content foods. The antennas are arranged in such a way as to collect a signal that can be used to exploit a recently proposed real-time microwave imaging strategy, leveraging the inherent symmetries that usually characterize food items. The system is experimentally characterized, and the achieved results compare favorably with the design specifications and numerical simulations. Relying on these positive results, the first experimental proof of the effectiveness of the entire system is presented confirming its efficacy.

Identifiants

pubmed: 38202961
pii: s24010099
doi: 10.3390/s24010099
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Italian Ministry of University and Research under the 2017 PRIN project "BEST-Food, Broadband Electromagnetic Sensing Technologies for Food Quality and Security Assessment."
ID : Prot. N. 20179FLH4A

Auteurs

Gennaro Bellizzi (G)

Department of Electrical Engineering and Information Technology, University of Naples Federico II, 80125 Naples, Italy.

Alessio Buzzin (A)

Department of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome, 00184 Rome, Italy.

Lorenzo Crocco (L)

Institute for Electromagnetic Sensing of the Environment, National Research Council of Italy, 80124 Naples, Italy.

Antonio Mastrandrea (A)

Department of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome, 00184 Rome, Italy.

Noemi Zeni (N)

Department of Electrical Engineering and Information Technology, University of Naples Federico II, 80125 Naples, Italy.

Sabrina Zumbo (S)

Department of Electrical Engineering and Information Technology, University of Naples Federico II, 80125 Naples, Italy.

Marta Cavagnaro (M)

Department of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome, 00184 Rome, Italy.

Classifications MeSH