| Issue |
BIO Web Conf.
Volume 195, 2025
2025 9th International Conference on Biomedical Engineering and Bioinformatics (ICBEB 2025)
|
|
|---|---|---|
| Article Number | 02001 | |
| Number of page(s) | 10 | |
| Section | Biomedical Imaging, Modeling and Visualization Technologies | |
| DOI | https://doi.org/10.1051/bioconf/202519502001 | |
| Published online | 14 November 2025 | |
Towards a Feasible and Robust Technique for Non-invasive Food Analysis
Santa Catarina State University, Dept. Electrical Engineering, Joinville, Brazil
* Pedro Bertemes-Filho1: pedro.bertemes@udesc.br
Growing requirements for food safety have driven the development of non-invasive monitoring technologies. Among these, electrical bioimpedance (BIA) has emerged as a method for assessing freshness, composition, and adulteration while preserving sample integrity. This work presents a systematic analysis of 259 Scopus-indexed publications from the last 10 years in order to strength and encourage new agricultural applications on food analysis. It was found 21 works on food quality using bioimpedance spectroscopy (BIA), which is the most non-destructive analysis. Due to measurement variability caused by product heterogeneity and environmental factors, standardizing protocols, accurate hardware designs and machine learning (ML) technique are the keys factors towards a feasible BIA system. It was also observed that portability will improve the supply chain management by enabling real-time quality control. It can be concluded that BIA data with ML is a robust and safe tool for the daily basis of consumers, farmers and industry, while supporting industry requirements for sustainable and efficient operations.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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