The Mediterranean dietary pattern, where extra virgin olive oil (EVOO) takes the central spot, is related to longer life expectancy and lower risk of a number of non-communicable diseases, including cardiovascular, diabetes, dementias, and cancer. Positive effect of olive oil on a broad spectrum of diseases, including diabetes mellitus type 2 (DMT2), is usually attributed to its fatty acid content (e.g., oleic acid). Yet, in the last two decades researchers confirmed that, the phenolic compounds (e.g., oleuropein) also significantly alter on glycaemic regulation. Other unprocessed parts of olive plant (fruit and leaves) showed positive impact on glycaemic variability among individuals living with DMT2. The present review focuses on the available research findings on the effect of olive oil, fruits, and leaves on DMT2 treatment. Specifically, the focus is on polyphenols and fats of olive oil, fruits, and leaves with regard to their antidiabetic biological activities.

Among the species of the rich algological flora of the North Atlantic, some can be used for direct consumption in human food, although few are currently cultivated on a large scale and/or marketed for this purpose. The European tradition regarding this custom is practically nil and the expression of current eating habits is little different from the past. In Europe, only in times of hunger (for example, during the Great World Wars) was seaweed consumed by the populations closest to the coastline. In addition to the multiple applications described, which expanded enormously in the 1970s, based on phycocolloids (agar, carrageenans, and alginates)—used as thickeners in the food industry, in soups, meat preserves, dairy products, and pastries—there is currently a trend of increasing consumption, both in North America and Europe.

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.

The on-site, rapid, and intelligence detection methods are the wave in food safety. Recently, intelligent point-of-care test (iPOCT) methods serve as a promising alternative for advanced monitoring in food safety. By integrating smartphones with various detection methods, iPOCT methods demonstrate unique merits. Compared with lab-dependent instruments, iPOCT strategies have a short turnaround time (several minutes), high accuracy (μm level or less), and portability (smartphones). This work discussed principles of optical and electrical iPOCT methods, including absorbing light, fluorescence, chemiluminescence, potentiometry, voltammetry, impedance spectroscopy, and amperometry. The review emphasizes the practical applications for testing chemical and biological hazards in complex food matrices. The commercialization, challenges, and future trends of iPOCT are discussed as well.

In this perspective article, several internationally recognized experts, members of the editorial team of this journal, discuss a selection of current hot topics identified in Food Science and Foodomics. The topics are comprised of the main areas of Food Science and Foodomics, namely, food safety, food authenticity, food processing, and food bioactivity. Logically, several of the discussed topics involve more than one of the mentioned main areas. Regarding food safety, the topics discussed are the use of analytical nanotechnology, nanometrology, nano-chromatography; the determination of organic contaminants based on MS and NMR; the impact of microplastics and nanoplastics on food or the contamination of foods with plant toxins. Regarding food authenticity, the paper discusses the role of MS, NMR, biosensors and the new trends in foodomics for food authentication. In terms of food processing, the work shows interesting perspectives on novel processing technologies, the effect of food processing on the gut microbiota or in the interaction among secondary metabolites and macromolecules; the development of active packaging, and the potential effects of introducing recycled plastics in food packaging; the new green extraction and encapsulation strategies of bioactive compounds from food by-products; and the anti-biofilm capacity of natural compounds/extracts/vegetal oils and essential oils. Food bioactivity and the relation between food and health includes the bioavailability and bioaccessibility of bioactive compounds; new trends and challenges in the interaction of nutraceuticals with biological systems; how food matrix impacts the bioaccessibility of nutrients and bioactive compounds; or the study of biodiversity, food and human health through one-health concept. We anticipate elaborations on these hot topics will promote further studies in Food Science and Foodomics.