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Use of Sensors and Chemical Analysis for Food Safety and Quality

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Chemical Sensors".

Deadline for manuscript submissions: 15 November 2026 | Viewed by 944

Special Issue Editors


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Guest Editor
Institute for Bioengineering of Catalonia-IBEC, Barcelona, Spain
Interests: e-nose; e-tongue; DOS; sensors; chemical analysis; food safety; chemical detection; MS; mass spectometry
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Guest Editor
Food Quality and Design, Wageningen University & Research, Wageningen, The Netherlands
Interests: food authenticity and fraud; meat quality and supply-chain integrity; the application of analytical/sensor methods (e.g., mass spectrometry, NIR, stable isotopes, and sensory evaluation)

Special Issue Information

Dear Colleagues,

Aim and Scope

The use of sensors and chemical analysis plays a vital role in ensuring food safety and quality throughout the food supply chain. These advanced technologies aim to detect harmful substances such as pathogens, toxins, pesticides, and allergens, while also monitoring food freshness and quality parameters. Additionally, they help ensure compliance with food safety regulations by providing rapid and accurate analysis of food products. The scope of these technologies extends from raw material screening to final product testing, covering various stages of food production, processing, and distribution. By integrating artificial intelligence (AI) for advanced data processing and analysis, these methods can offer improved pattern recognition, predictive insights, and decision-making support. By continuously assessing food safety and quality, these tools play a crucial part in safeguarding public health and maintaining consumer trust in food products.

Summary

Sensors and chemical analysis methods offer several advantages for food safety and quality assessment: they enable rapid detection, providing quick results compared to traditional methods; demonstrate versatility in detecting a wide range of chemical substances and microorganisms; offer high sensitivity for identifying even trace amounts of contaminants; allow real-time monitoring for the continuous assessment of food quality parameters; and provide portability, with some sensors designed for on-site, immediate testing. Chemical analysis techniques, including chromatography, spectrometry, titration, gas chromatography-mass spectrometry (GC-MS), gas chromatography-ion mobility spectrometry (GC-IMS), and high-performance liquid chromatography (HPLC), are widely used for detecting nutrients, contaminants, and additives in food products. Sensors, such as metal oxide sensors, surface acoustic wave sensors, and electrochemical sensors, are capable of detecting gases that indicate food spoilage or contamination. Advances in these technologies are driving the development of more reliable, efficient, and cost-effective tools, fostering their integration into smart food packaging and automated quality control systems, thereby enhancing food safety and reducing waste.

Dr. Hamed Karami
Dr. Sara Erasmus
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • biosensors
  • sensors
  • gas sensors
  • electrochemical sensors
  • chemical analysis
  • GC-MS
  • GC-IMS
  • HPLC
  • chromatography
  • spectrometry
  • titration
  • food safety
  • quality control
  • contaminant detection
  • fraud detection
  • microbial testing
  • rapid detection
  • intelligent packaging
  • shelf-life monitoring

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Published Papers (1 paper)

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Research

10 pages, 1548 KB  
Article
Differential Fungal Susceptibility of Aspergillus oryzae to Aomori Hiba Heartwood and Sapwood
by Tsuyoshi Yoda
Sensors 2026, 26(4), 1191; https://doi.org/10.3390/s26041191 - 12 Feb 2026
Viewed by 343
Abstract
The antifungal properties of wood are often attributed to extractives that differ between heartwood and sapwood; however, quantitative evaluation methods remain limited. In this study, we investigated differences in fungal susceptibility between heartwood and sapwood of Aomori Hiba (Thujopsis dolabrata var. hondae [...] Read more.
The antifungal properties of wood are often attributed to extractives that differ between heartwood and sapwood; however, quantitative evaluation methods remain limited. In this study, we investigated differences in fungal susceptibility between heartwood and sapwood of Aomori Hiba (Thujopsis dolabrata var. hondae) using solvent extraction, fungal growth inhibition assays, and digital image analysis. Heartwood and sapwood were distinguished based on anatomical characteristics and color, and extractives were obtained using ethanol as the solvent. Antifungal activity was evaluated against Aspergillus oryzae by monitoring fungal growth on culture media. Quantitative image analysis was applied to grayscale images to assess fungal growth inhibition, enabling objective comparison between samples. The results demonstrated that heartwood extracts consistently exhibited stronger fungal growth inhibition than sapwood extracts, which correlated with higher extractive contents. Image-derived metrics effectively captured differences in fungal growth that were not readily discernible by visual inspection alone. These findings demonstrate that digital image analysis can be effectively integrated with fungal susceptibility assays and extractive measurements to provide a practical framework for preliminary screening of antifungal potential in wood-derived materials. Full article
(This article belongs to the Special Issue Use of Sensors and Chemical Analysis for Food Safety and Quality)
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