The strengthening effect of a mild temperature treatment on the antimicrobial efficacy of essential oils has been widely reported, often leading to an underestimation or a misinterpretation of the product’s microbial status. In the present study, both a traditional culture-based method and Flow Cytometry (FCM) were applied to monitor the individual or combined effect of Origanum vulgare essential oil (OEO) and mild heat treatment on the culturability and viability of Escherichia coli in a conventional culture medium and in a fruit juice challenge test. The results obtained in the culture medium showed bacterial inactivation with an increasing treatment temperature (55 °C, 60 °C, 65 °C), highlighting an overestimation of the dead population using the culture-based method; in fact, when the FCM method was applied, the prevalence of injured bacterial cells in a viable but non-culturable (VBNC) state was observed. When commercial fruit juice with a pH of 3.8 and buffered at pH 7.0 was inoculated with E. coli ATCC 25922, a bactericidal action of OEO and a higher efficiency of the mild heat at 65 °C for 5′ combined with OEO were found. Overall, the combination of mild heat and OEO treatment represents a promising antimicrobial alternative to improve the safety of fruit juice.

Effective antimicrobial and biofilm control strategies require an understanding of the differential effects of antimicrobial agents on the viability and culturability of microbial cells. A viable but non-culturable (VBNC) state, a survival strategy of non-spore-forming bacteria in response to adverse conditions, poses a significant challenge for public health and food safety. In the present study, we investigated the antimicrobial and antibiofilm effects of nisin and gallium (III) nitrate hydrate against the Gram-positive strain Lactiplantibacillus plantarum subsp. plantarum DSM 20174 and the Gram-negative strain Pseudomonas fluorescens ATCC 13525, respectively. Both strains were chosen as model systems for their relevance to food and clinical settings. Culture-based methods and flow cytometry (FCM) were used to evaluate the culturability and viability of both planktonic and sessile cells, providing insights into their physiological response to antimicrobial treatment-induced stress at different concentrations (100, 250, 350, and 500 ppm). The findings highlight the strain-specific action of nisin on L. plantarum and the promising antibiofilm effects of Ga (III) against P. fluorescens. This study underscores the promising potential of FCM as a powerful tool for high-throughput analyses of antimicrobial efficacy, providing valuable insights into developing targeted biofilm control strategies for food safety and clinical applications.

Summary: Soil contamination due to toxic elements (TEs) and potentially toxic elements (PTEs) is a global environmental concern due to their toxicity in ecosystems and the potential risk of food chain contamination. This study aimed to examine the differences in the multielemental profile of two experimental fields in Central Italy and to assess the uptake and translocation of TEs (As, Cd, Cr, Ni, Pb, Ti) and PTEs (Co, Cu, V, Zn) in three durum wheat, Triticum turgidum L. subsp. durum varieties grown in organic (OFS) and conventional (CFS) farming systems. The biological absorption coefficient (BAC) and the translocation factor (TF) were evaluated to determine the absorption and translocation of elements from the soil to the aerial parts of the plants. The content of essential mineral nutrients such as Cu and Zn was higher in organically grown plants, whereas TEs and PTEs, such as Cd, Cr, Ni, and V, were more concentrated in conventionally cultivated plants. Among the three varieties, Simeto showed a greater ability to translocate Cd to the edible part (TF = 0.0341 for OFS and 0.7900 for CFS). Soil type, cultivation method, and durum wheat variety all affect the uptake and distribution of elements within the soil-plant system. Future research focusing on the edible parts could improve sustainable agricultural practices, optimise nutrient management, enhance crop quality, and reduce food security risks, ultimately supporting the development of safer farming systems that are resilient to climate and environmental changes.

The digital transformation of agrifood systems demands an integrated infrastructure to ensure traceability, trust, and intelligent decision-making across complex and heterogeneous value chains. METROFOOD-IT, a large-scale national research infrastructure in food metrology aligned with the ESFRI METROFOOD-RI, addresses these challenges by combining advanced experimental facilities with a comprehensive digital ecosystem. This paper focuses on the IT kernel of METROFOOD-IT and presents an integrated architectural model that brings together four key technological paradigms: data acquisition through Internet of Things (IoT) and laboratory infrastructures, an Open Data Platform for interoperability and sharing, blockchain-based notarization for integrity and provenance, and Artificial Intelligence (AI) for knowledge extraction and decision support. Rather than describing these components in isolation, the paper abstracts from their implementation within the Italian National Recovery and Resilience Plan (NRRP) project METROFOOD-IT to distill a coherent and reusable architectural pattern in which data management, trust enforcement, and intelligent analytics are tightly coupled. Five explicit design principles are identified and articulated: federated data with centralized metadata, selective on-chain anchoring, user-unobtrusive trust infrastructure, explainability as a first-class architectural concern, and machine learning as the backbone of decision-making. Two empirical case studies—one centered on explainable AI for hyperspectral crop nitrogen assessment and the other on IoT-driven sustainable agriculture monitoring secured by distributed ledger technology—serve a dual role: they motivate and shape the architectural pattern, and they exemplify the operational regimes the resulting design supports. A reference deployment on the Ethereum Sepolia public test network, grounded on an IBM Power E1050 and IBM Storage Scale enterprise substrate, provides quantitative evidence for the proposed hybrid on-chain/off-chain pattern with streaming hash-only notarization. The architecture illustrates how research infrastructures can evolve into integrated digital platforms that enable transparent, verifiable, and scalable agrifood systems, and offers a foundation for generalizable design principles in data-intensive and trust-sensitive settings.