ReviewComprehensive reviews in food science and food safety2025
Microwave Sensing and Imaging Technology in Food Applications: A Comprehensive Review.
Review in Comprehensive reviews in food science and food safety, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- A Single-Source Pilot Study of Machine Learning-Assisted Microwave S-Parameter Screening for Glucose Syrup and Water Adulteration in Grape Molasses.Sensors (Basel, Switzerland) · 2026Article
- Electrical Impedance Spectroscopy and Tomography for Fruit Quality Monitoring: A State-of-the-Art Analysis and Experimental Insights.Sensors (Basel, Switzerland) · 2026Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Microwave sensing (MWS) and imaging (MWI) technologies have gained significant attention as non-destructive methods for assessing food quality, ensuring safety, and verifying authenticity. This review provides a comprehensive evaluation of MW-based systems in food applications, integrating both theoretical foundations and practical implementations. The fundamental principles of MW technology, including its theoretical background, sensing mechanisms, and imaging techniques, are first discussed. The review then explores the applications of MW sensing and imaging in food analysis, encompassing contamination detection (e.g., foreign bodies, microorganisms, and toxins), moisture content evaluation, adulteration detection, quality control, and compositional assessment. Furthermore, the advantages and limitations of MW systems for food applications are critically analyzed, along with an overview of commercial MW-based technologies, relevant patent developments, and ongoing international research initiatives. Finally, the future potential of MWS and MWI in the food industry is discussed, emphasizing their role in advancing real-time, non-invasive quality monitoring and strengthening food integrity. This review aims to provide valuable insights into the current state and future directions of MW-based food inspection technologies.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.