Food products can contain various substances, including essential nutrients, as well as non-nutritive elements and potentially toxic metals. Metal contaminants have the potential to accumulate within the food chain and, when they exceed safe thresholds, can be toxic to humans, leading to health issues. To mitigate health hazards caused by exposure to such harmful substances, accurate monitoring of metal concentrations in various food samples is crucial. Achieving this goal needs understanding the basic principles of various elemental analysis methods. Additionally, selecting the appropriate technique or combination of techniques is critical for obtaining accurate and relevant results. Various advanced analytical techniques, such as atomic absorption spectroscopy, flame emission spectroscopy, inductively coupled plasma-mass spectrometry (ICP-MS), and X-ray fluorescence (XRF) spectrometry, can be used for the quantification of heavy metals and metalloids in food. However, each method has its own limitations, and the accuracy depends on adequate sample preparation. This paper aims to provide a clear overview of commonly used methods and techniques for heavy metal detection in food products, addressing the advantages and limitations of each analytical technique. Additionally, it compares the most important performance parameters of the presented techniques, including the limit of detection (LOD), the limit of quantification (LOQ), recovery, and precision. Moreover, ensuring food safety involves conducting a thorough risk assessment analysis. By integrating risk assessment into the evaluation of heavy metals in food, it becomes possible to determine whether observed concentrations pose significant risks to human health. This step is imperative for establishing regulatory guidelines and implementing control measures to reduce or eliminate potential health risks. Incorporating risk assessment into the broader context of the review enhances its applicability in real-world scenarios, aiding policymakers, regulatory bodies, and researchers in making informed decisions regarding food safety standards and practices.

Artificial intelligence (AI) is revolutionizing plant sciences by enabling precise plant species identification, early disease diagnosis, crop yield prediction, and precision agriculture optimization. AI uses machine learning and image recognition to aid ecological research and biodiversity conservation. It plays a crucial role in plant breeding by accelerating the development of resilient, high-yielding crops with desirable traits. AI models using climate and soil data contribute to sustainable agriculture and food security. In plant phenotyping, AI automates the measurement and analysis of plant characteristics, enhancing our understanding of plant growth. Ongoing research aims to improve AI models’ robustness and interpretability while addressing data privacy and algorithmic biases. Interdisciplinary collaboration is essential to fully harness AI’s potential in plant sciences for a sustainable, food-secure future.

Pickering emulsions have emerged as suitable alternatives to healthily and sustainably deliver unstable compounds, addressing the demands of consumers, increasingly concerned about the nutritional value and environmental impact of the products they consume. They are stabilized by insoluble solid particles that partially hydrate both the oil (O) and aqueous (W) phases through a combination of steric and electrostatic repulsions determined by their surface properties. Since the desorption energy of the particles is very high, their adsorption is considered irreversible, which accounts for their greater stability compared to conventional emulsions. Proteins and polysaccharides, used either individually or in combination, can stabilize Pickering emulsions, and recent studies have revealed that microorganisms are also suitable stabilizing particles. This review provides an overview of recent research on Pickering emulsions, highlighting the properties of the stabilizing particles, and their ability to deliver hydrophobic and/or unstable compounds. The use of Pickering emulsions as fat-replacers, edible inks for 3D-printing or their incorporation into packaging material are also presented and discussed, pointing out their great potential for further innovation.

The extraction, separation, and purification of dietary proteins from a variety of food sources are crucial for their targeted use in food applications. To achieve this, proteins should be effectively separated from non-protein components such as cell wall structures, polysaccharides, and lipids. Traditional protein purification methods can be time-consuming, highlighting the need for automated, cost-effective, and sustainable alternatives. This comprehensive review critically assesses various protein purification instruments from an analytical perspective, weighing their advantages and disadvantages. The methods under evaluation include ultrafiltration, sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE), fast protein liquid chromatography (FPLC), high-performance liquid chromatography (HPLC), ultra performance liquid chromatography (UPLC), and microfluidic chips. Among these, FPLC stands out as an affordable and efficient technique that allows for high protein recovery. However, HPLC and UPLC provide faster results but may denature proteins, leading to lower recovery rates. Ultrafiltration is a cost-effective and straightforward method that doesn’t require complex equipment. Microchip-based approaches are emerging as innovative techniques for rapidly analyzing small samples. While SDS-PAGE is user-friendly, it denatures proteins, particularly those linked to other biomolecules. The choice of the most appropriate instrument depends on factors such as cost, energy efficiency, processing time, the characteristics of the target protein, desired outcomes, protein recovery, and resource availability. By critically examining these analytical instruments for protein purification, this review aims to assist researchers and practitioners in selecting the most suitable method for their specific needs, ultimately promoting efficient and successful protein purification endeavors in the field of food science and technology.

The objective of this work was to compile data for the characterization of pistachio’s chemical composition and to analyze the benefits of their consumption in the diet. Pistachio edible seed is cultivated mainly in America, Mediterranean countries and Middle East. The geographical precedence may affect its mineral content as well as its lipidic profile and it may also influence the content of bioactive compounds. Pistachio presents a high proportion of vitamins, carotenoids, polyphenols, and flavonoids that have been associated with pistachio health benefits such as its antioxidant and anti-inflammatory activities. Pistachio intake would reduce glycemic index and control Type-2 Diabetes Mellitus. Clinical studies have also indicated that the presence of phytosterols, monounsaturated fatty acids (MUFAs) and dietary fiber from pistachio grains may reduce the risk of cardiovascular diseases (CVDs). Furthermore, the main wastes of pistachio industry [pistachio green hull (PGH) and pistachio shell (PS)] could be also considered a good source of bioactive compounds. Recent studies showed that the encapsulation of these nutraceutical compounds of PGH may be a green strategy for manufacture high-value foods within the framework of circular economy. Moreover, PS can be considered a good source of cellulose nanocrystals (CNC) that may be used for encapsulation and stabilization of oil-water emulsions.

This paper reviews the nutritional quality and safety of edible farmed insects from the point of view of the Czech-Slovenian bilateral project: Quality, Safety and Authenticity of Insect Protein-based Food and Feed (INPROFF). Insects as a sustainable source of dietary protein for animal feed and even humans, when integrated into the European agrifood system, could offer a solution to Europe’s feed protein deficit and help alleviate environmental pressure from increasing protein demand, such as declining availability of land, water, marine and energy resources, the overuse of pesticides and reduced biodiversity. However, despite a growing interest in the European Union (EU) in farming edible insects, many economic, scientific, technological, and social barriers remain. In response, Slovenia, represented by the Jožef Stefan Institute, the Biotechnical Faculty of the University of Ljubljana, and Jata Emona d.o.o. (the leading supplier of feedstuffs for the Slovenian market), a country with no history of insect rearing but an interest in alternative protein, joined with the Czech University of Life Sciences Prague, representing the Czech Republic—a country with a history of insect rearing and research into edible insects—to establish INPROFF a three-year bilateral project that aims to close the knowledge gap regarding the quality and safety of insect-based products and boost the farmed insect food and feed value chain. Specifically, it comprises three thematic pillars: (P1) nutritional enhancement, (P2) safety and quality and (P3) authenticity, traceability, and consumer acceptance. The paper also discusses the gaps in the metrological challenges of analysing insects, which will be critical for ensuring safety, quality, and sustainability. The paper finds that although much work has been done, many exciting avenues remain for new research.