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Chemosensors
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Novel Analytical Approaches for Food Analysis with a Focus on...
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Novel Analytical Approaches for Food Analysis with a Focus on Chemosensors

A special issue of Chemosensors (ISSN 2227-9040). This special issue belongs to the section "Analytical Methods, Instrumentation and Miniaturization".

Deadline for manuscript submissions: closed (31 May 2025) | Viewed by 1400

Special Issue Editor

Dr. Ioannis Sampsonidis

E-Mail Website
Guest Editor
Department of Nutritional Sciences and Dietetics, International Hellenic University, GR-57400 Thessaloniki, Greece
Interests: chromatography; mass spectrometry; chemometrics; analytical chemistry; metabolomics; lipidomics; environmental chemistry

Special Issue Information

Dear Colleagues,

The ever increasing demand for safe and high-quality food in the agri-food sector is inextricably coupled to the demand for rapid, cheap and robust analytical methods and techniques for food analysis. This has led to a series of advances in sensor technology, including the development of electrochemical, colorimetric and mass-based detection sensors, that are related to a broad spectrum of applications; this includes the analysis of food components (sugars, proteins, fats, vitamins) and biomarkers linked to food safety, but also food additives, pesticide and drug residues, mycotoxins and heavy metals.

In this Special Issue, we aim to provide a forum for the discussion of recent developments in the field of food analysis, with a focus on chemosensors. We welcome the submission of research papers and review articles whose scope includes (but is not limited to) the following topics:

  • Analytical methods that include the use of chemosensors;
  • The development of chemosensors focusing on food analysis;
  • Articles that employ the use of chemosensors in food quality and traceability;
  • The application of chemosensors in food analysis.

Dr. Ioannis Sampsonidis
Guest Editor

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 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Chemosensors is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 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

  • food safety monitoring
  • chemical contaminant detection
  • pesticide residue analysis in food
  • food authenticity testing
  • nutritional content analysis
  • adulteration detection
  • foodborne pathogen identification
  • mycotoxin detection in food
  • heavy metal analysis in food
  • food freshness assessment
  • perishable food monitoring
  • antioxidant quantification in food
  • flavor compound detection
  • enzyme-based sensors for food analysis
  • real-time food quality control

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Published Papers (2 papers)

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Research

11 pages, 417 KB  
Article
Investigating Consumer Preferences for Novel Grape Varieties Through Hedonic Sensory Analysis and Non-Destructive Near-Infrared Spectroscopy
by Teodora Basile, Lucia Rosaria Forleo and Rocco Perniola
Chemosensors 2025, 13(7), 238; https://doi.org/10.3390/chemosensors13070238 - 3 Jul 2025
Viewed by 521
Abstract
While resistance or tolerance is a highly sought-after trait in new grape varieties, producing such grapes does not guarantee acceptance in the market. The objective of this study was to explore consumers’ appreciation of a novel tolerant table grape variety by integrating chemical, [...] Read more.
While resistance or tolerance is a highly sought-after trait in new grape varieties, producing such grapes does not guarantee acceptance in the market. The objective of this study was to explore consumers’ appreciation of a novel tolerant table grape variety by integrating chemical, textural, and sensory analyses with near-infrared (NIR) spectroscopy. To achieve this, we developed multivariate prediction models using artificial neural networks (ANNs) that were applied to the spectra of samples subjected to sensory analysis, allowing us to predict their composition. This approach offers a non-destructive way to conduct sensory analysis, as a single NIR spectrum can assess consumer appreciation and identify the chemical and physical characteristics of each berry. For the grape variety tested, we observed a significant favorable consensus among consumers. Therefore, instead of identifying differences, we focused on determining the optimal maturity ranges that enhance consumer appreciation for this variety. Our findings represent a step toward non-destructive sensory analysis; however, further research is still needed to refine this approach. Full article
(This article belongs to the Special Issue Novel Analytical Approaches for Food Analysis with a Focus on Chemosensors)
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20 pages, 3156 KB  
Article
Quantitative and Qualitative Evaluation of Microplastic Contamination of Shrimp Using Visible Near-Infrared Multispectral Imaging Technology Combined with Supervised Self-Organizing Map
by Sureerat Makmuang and Abderrahmane Aït-Kaddour
Chemosensors 2025, 13(7), 237; https://doi.org/10.3390/chemosensors13070237 - 2 Jul 2025
Viewed by 593
Abstract
Microplastic (MP) contamination is a growing environmental concern with significant impacts on ecosystems, the economy, and potentially human health. However, accurately detecting and characterizing MPs in biological samples remains a challenge due to the complexity of biological matrices and analytical limitations. This study [...] Read more.
Microplastic (MP) contamination is a growing environmental concern with significant impacts on ecosystems, the economy, and potentially human health. However, accurately detecting and characterizing MPs in biological samples remains a challenge due to the complexity of biological matrices and analytical limitations. This study presents a novel, non-destructive visible near-infrared multispectral imaging (Vis-NIR-MSI) method combined with a supervised self-organizing map (SOM) to enable rapid qualitative and quantitative analysis of MPs in seafood. We specifically aimed to identify and differentiate four types of microplastics, namely PET, PE, PP, and PS, in the range 1–4 mm, present on the surface of minced shrimp and shrimp shell. For quantification, MPs were incorporated into minced shrimp surface at concentrations ranging from 0.04% to 1% w/w. The modified model achieved a high coefficient of determination (R2 > 0.99) for PE and PP quantification. Unlike conventional techniques, this approach eliminates the need for pre-sorting or chemical processing, offering a cost-effective and efficient solution for large-scale monitoring of MPs in seafood, with potential applications in food safety and environmental protection. Full article
(This article belongs to the Special Issue Novel Analytical Approaches for Food Analysis with a Focus on Chemosensors)
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