Technologies in Agricultural Product Quality Control and Traceability

A special issue of Foods (ISSN 2304-8158). This special issue belongs to the section "Food Quality and Safety".

Deadline for manuscript submissions: 15 November 2025 | Viewed by 853

Special Issue Editors


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Guest Editor
Department of Chemical and Geological Sciences, University of Modena and Reggio Emilia, Via Giuseppe Campi 103, 41125 Modena, Italy
Interests: thermophysics of non-electrolytic solvent systems; material chemistry: the improvement of the chemical and physical properties of plastic disposable products and the characterization of new biomaterials used for medical and food porpoises; food analytical chemistry: chemical characterization of food matrices for human and animal feed; geographic traceability of foods: the development of analytical methodologies for the geographic traceability of food matrices based on primary indicators such as radiogenic stable isotope ratios, isotope ratios of light elements and metals profile and secondary indicators obtained from spectroscopic and spctrometric analytical techniques
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Guest Editor Assistant
Department of Chemical and Geologial Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy
Interests: food analytical chemistry; the chemical charazterization of food matrices for human and animal feed; the valorization of agri-food waste byproducts for sustainable applications; the development of functional food ingredients from agri-food byproducts; nutraceutical and bioactive compound extraction from natural sources; the geographic traceability and authentication of food products; material chemistry with a focus on bio-based materials; the valorization of agricultural waste for construction materials; the integration of waste-derived fillers and binders in green building technologies

Special Issue Information

Dear Colleagues,

Ensuring the quality and authenticity of agricultural products has become a growing concern due to increasing cases of food fraud, mislabelling, and contamination. The certification of the authenticity of a product is of great relevance both for farmers, who may benefit from an economic point of view by applying an over price, and for the consumers, who ask for even more detailed information about a type of food. Consumers today are more conscious about the provenance of their food and demand transparency regarding its production, processing, and distribution. For these reasons, to assess the authenticity of a food and determine its geographical origin is a challenging issue, especially if the authenticity is evaluated based on objective parameters that overcome subjectivity and paper-based certifications. Consequently, the technical approaches used are becoming more and more complex. Geographical traceability is particularly essential, as it allows for the verification of the origin of agricultural products, ensuring compliance with regulatory standards and protecting products with Geographical Indications. Advanced analytical techniques, such as isotopic analysis, spectroscopic and spectrometric methods, and metabolomic profiling, are being widely explored to authenticate food products and detect fraudulent substitutions. Additionally, the integration of blockchain technology, Internet of Things (IoT) solutions, and smart labelling enhances supply chain transparency and strengthens consumer trust. Although significant progress has been made in the field of agricultural product traceability, several challenges remain. The development of rapid, cost-effective, and scalable technologies is crucial to enable real-time monitoring and improve the efficiency of food authentication systems. This Special Issue welcomes original research and review articles focused on innovative technologies for agricultural product quality control and traceability. Topics of interest include, but are not limited to, the following:

  • Analytical techniques for food authentication and geographical traceability;
  • Isotopic methods for authenticity and origin identification;
  • Spectroscopic and spectrometric methods for authenticity and origin identification;
  • Authentication of food products with geographical indications labels;
  • Metabolomic profiling for authentication of food origin and quality assessment;
  • Integration of digital technologies to improve food safety and fraud detection;
  • Machine learning and AI-based approaches for traceability data analysis.

We look forward to receiving your contribution to this Special Issue, which will advance research and innovation on agricultural products quality and authenticity.

Dr. Andrea Marchetti
Guest Editor

Dr. Veronica D’Eusanio
Guest Editor Assistant

Manuscript Submission Information

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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. Foods is an international peer-reviewed open access semimonthly 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 2900 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 traceability
  • geographical origin
  • food quality
  • targeted and untargeted approaches
  • metabolomics in food authentication
  • NMR profiling approaches
  • isotopic analysis
  • spectroscopic and spectrometric techniques
  • analytical chemistry in food quality
  • food fraud detection
  • digital traceability technologies

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Published Papers (2 papers)

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Research

17 pages, 1905 KiB  
Article
Monitoring the Spoilage of Fresh Sterlet (Acipenser ruthenus) During Storage at 4 °C by Mid-Infrared and Fluorescence Spectroscopies Coupled with Chemometric Tools
by Daria Vilkova, Moriken Sangaré, Ahmed Snoussi and Romdhane Karoui
Foods 2025, 14(12), 2051; https://doi.org/10.3390/foods14122051 - 11 Jun 2025
Viewed by 339
Abstract
Sterlet is a perishable product; therefore, its freshness monitoring and shelf-life evaluation are important. In this study, a series of analytical techniques named physicochemical, microbiological, sensory, colorimetric, and mid-infrared and fluorescence spectroscopies were applied on Sterlet (Acipenser ruthenus) samples during 18 [...] Read more.
Sterlet is a perishable product; therefore, its freshness monitoring and shelf-life evaluation are important. In this study, a series of analytical techniques named physicochemical, microbiological, sensory, colorimetric, and mid-infrared and fluorescence spectroscopies were applied on Sterlet (Acipenser ruthenus) samples during 18 days of storage at 4 °C. The water content increased from 72.8 g/100 g on day 1 to 77.81 g/100 on day 14. Regarding the peroxide value (PV), the initial value was 4.17 meq/kg of Sterlet on day 1, reaching a maximum on day 4 (4.9 meq/kg of Sterlet), and then it decreased gradually, attaining a value of 0.7 meq/kg of Sterlet on day 18. Generally, the thiobarbituric acid reactive substance (TBARS), total viable count (TVC) and psychrotrophic count (PTC) increased during the storage time and increased from 0.03 to 0.13 MDA eq./kg of Sterlet sample, 2.27 to 9.09 log10 CFU/g, and 2.18 to 9.15 log10 CFU/g, respectively, on day 1 and 18, respectively. The microbiological and sensory analyses indicated that Sterlet samples were acceptable for human consumption up to 7 days of storage at 4 °C. This result was confirmed by fluorescence measurements, since the principal component analysis (PCA) applied to the NADH and MIR spectra allowed for a clear differentiation between Sterlet samples aged 7 days or less from the others. This trend was confirmed by the factorial discriminant analysis (FDA) applied to the NADH and MIR spectra, since a correct classification with leave-one cross-validation of 94.44% was observed. In addition, the heatmap of the Pearson correlation coefficients showed high correlations between overall acceptability and microbiology parameters and the structural properties of Sterlet samples during storage, indicating that the modifications observed at the macroscopic level were related to those notedat the molecular scale. Full article
(This article belongs to the Special Issue Technologies in Agricultural Product Quality Control and Traceability)
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18 pages, 1876 KiB  
Article
Evaluation of the Strontium Isotope Ratios in Soil–Plant–Fruit: A Comprehensive Study on Vignola Cherry (Ciliegia di Vignola PGI)
by Lisa Lancellotti, Veronica D’Eusanio, Daniela Manzini, Caterina Durante, Andrea Marchetti and Lorenzo Tassi
Foods 2025, 14(9), 1492; https://doi.org/10.3390/foods14091492 - 24 Apr 2025
Viewed by 349
Abstract
This study investigates the potential of strontium isotopes as a geographical tracer for Vignola cherries. Despite several studies having employed this indicator to trace the origin of food products, the mechanisms underlying the fractionation and translocation of strontium from soil to edible parts [...] Read more.
This study investigates the potential of strontium isotopes as a geographical tracer for Vignola cherries. Despite several studies having employed this indicator to trace the origin of food products, the mechanisms underlying the fractionation and translocation of strontium from soil to edible parts remain poorly understood. In this study, the 91Zr/90Zr ratio was used as a normalization pair to correct measurements of 87Sr/86Sr and 88Sr/86Sr (δ88Sr). Soil, cherry branches, and fruit samples were collected from various producers and locations. Isotopic analyses were carried out using a double-focusing multi-collector–inductively coupled plasma/mass spectrometer (MC-ICP/MS). External correction was applied using the 91Zr/90Zr ratio, assuming both equal and different fractionation factors for Sr and Zr isotopes. Results from both correction models showed improved accuracy by accounting for fluctuations in instrumental mass bias. Regarding the translocation of strontium, the data indicate an increase in 88Sr of approximately 0.2‰ from soil to plant tissue. This trend was consistent across all sampled locations. Full article
(This article belongs to the Special Issue Technologies in Agricultural Product Quality Control and Traceability)
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