The adoption of artificial intelligence (AI) within the framework of fourth industrial revolution (Industry 4.0) is reshaping contemporary food safety management by enabling a transition from predominantly reactive practices to proactive and predictive approaches. This study explores how AI-based technologies, including machine learning, computer vision, and Internet of Things (IoT) technologies, contribute to improved food safety control, quality monitoring, and supply chain traceability. The analysis indicates that AI-driven solutions outperform traditional manual methods by delivering faster and more accurate detection of contaminants, improved identification of foodborne pathogens, and more reliable shelf-life prediction. The integration of AI with blockchain further strengthens traceability mechanisms, allowing rapid identification and containment of contamination events. Nevertheless, several limitations remain, notably the limited interpretability of complex deep-learning models, substantial implementation costs, and persistent challenges related to data quality and standardization. In addition, ethical issues, such as data protection and potential algorithmic bias, highlight the importance of transparent governance frameworks. The findings suggest that optimal outcomes are achieved when AI systems operate within a human-in-the-loop model, supported by interdisciplinary expertise and harmonized global datasets. Collectively, these advancements indicate that AI has strong potential to enhance the resilience, efficiency, and transparency of the global food supply chain, supporting progress toward a zero-contamination objective.

In recent years, numerous reports have repeatedly highlighted a series of food safety scandals involving contaminated and forged meat and fish products, grains and fruit products, juices, cooking oils, and spices and herbs, distilled beverages and pet treats. Foods that have been found to be stained with chemicals, illicit drug residues, additives and dyes, pathogenic microorganisms and other pests. Some foods enter the market have expired well or are unhygienic. Economic gain is the goal of food fraud. Food fraud and the prevention of such fraud are very important processes in the food industry. Such frauds are economically motivated, rated as criminal behaviour, and the moment we understand criminal behaviour and decision making we will be able to calculate and exclude the risk of food fraud. By analysing financially motivated fraud that combine opportunities, motivations, and inadequate control measures, we can assess the likelihood of fraud in any food product or component. The modified ingredients are specially designed to avoid quality assurance and quality control systems for customers. Only people who manipulate the ingredients know what substances and how to manipulate them. In addition, fraudulent ingredients are often unconventional substances that do not meet the requirements of food safety management systems, and become known only after they are incorporated into the supply chain. International standards for food and regulations address the risk of fraud food adulteration. European Union (EU) Directives, Global Food Safety Initiative (GFSI) Codex Alimentarius has continued work on a food fraud, or how, food fraud fits into their benchmarking. The problem of detection and typing of meat in meat products in the world and lack of research on them in the Republic of North Macedonia was the main goal for this paper. Our task was identification of meat type by ELISA method and proof of counterfeiting of meat products. Analyses are made in the laboratories of the Institute of Food at the Faculty of veterinary medicine in Skopje A total of 350 samples of various heat-treated meat products subgroups of meat sausages in pieces were examined for detection, typifying and quantifying the type of meat used for production.

The care of radioactivity level in animal feed is very important, as ingestion is one of the most common ways radionuclides enter living organisms. Thus, since humans consume products of animal origin (eggs and poultry, milk and beef), it is important to monitor radiation levels in animal feed, as part of the radioactivity that these animals are exposed to, could be transmitted to humans. Natural radionuclides such as 40K, 232Th and 226Ra find their way into the food chain from soil and air to plants and from plants to animals and humans as well. The goal of this study was to determine the activity concentrations of natural radionuclides in three commercial chicken feeds – starter, grower and finisher. The analyzes were performed by means of HPGe gamma spectrometry - gamma spectrometer (Canberra Packard) with a high-purity germanium detector. The obtained spectra from the measurement were analyzed by using the program GENIE 2000. Based on the performed tests, the mean values for the activity concentrations in the samples were the following 26.03±4.1 Bq kg-1 for 226Ra, 37.9±4.8 Bq kg-1 for 232Th, and 64.40±6.5 Bq kg-1 for 40K. The results obtained from the analyses of chicken feeds were compared to studies in other countries and it was found that 40K was present in the highest amount in all types of samples while the vales for the other natural radionuclides were within the nominal concentrations. Higher concentration of 40K can be associated with plants used in the production of animal feed, which were contaminated with fertilizer during their cultivation. The range of radionuclide concentrations in the samples was within the recommended values UNSCEAR.

The paper presents an analytical overview of the occurrence, movement, and accumulation of both natural and anthropogenic radionuclides in food of animal origin. The research encompasses the main pathways through which these substances enter animal organisms, together with the environmental and agricultural factors influencing their distribution in soil, vegetation, and animal tissues such as meat, milk, eggs, and fish during the period 1989 to 2025. The review was conducted based on a literature search performed in the Elsevier, Hinari, PubMed, and other relevant scientific databases. The study focuses on isotopes including uranium-238, thorium-232, potassium-40, cesium-137, and strontium-90 as key indicators of naturally occurring and technologically induced radioactivity within the biosphere. The analysis demonstrates the interconnection between geological, climatic, and agricultural conditions that determine the levels and variability of radionuclides in animal-derived food. It was established that radionuclide concentrations in North Macedonia fall within internationally accepted limits and correspond with values observed in other European countries. The study emphasizes the importance of continuous monitoring of both natural and anthropogenic sources of radioactivity to enable timely detection of fluctuations in radiological balance and to ensure the long-term safety of food and public health protection.

Consuming food containing radionuclides is particularly dangerous. If anyone ingests or inhales a radioactive particle, it continues to irradiate the body as long as it remains radioactive and stays in the body. However, studies on the radioactivity of consumable foods assume importance as it is necessary to estimate the ingestion dose to the public. Due to all this, the focus of this research was on determining the activity concentrations of 226Ra, 40K and 232Th. Forty-nine samples in three categories of vegetables, cereals (rice, wheat, corn), and milk, were collected from local markets (city of Skopje) in the Republic of North Macedonia and they were analyzed by using high-purity germanium (HPGe) detector to assess natural and artificial radioactivity. The average activity concentrations of 226Ra, 40K and 232Th of the tested samples were 2.85±1.15, 2.48±0.85, and 80.64±5.45 Bq kg-1, respectively. No artificial radionuclide was found in any of these samples. The average value of the radium equivalent activity in all samples was 12.56 Bq kg-1, which was less than the maximum permitted value of 370 Bq kg-1. The values ​​of the external hazard indices for vegetables, cereals and milk samples vary with an average value of 0.11, which is less than one in all samples indicating the non-harmfulness of the samples. The mean activity concentrations of 226Ra, 40K and 232Th (Bq kg-1) in the samples were used to calculate the absorbed dose rate whose mean value for all food samples was 6.16 Bq kg-1. It was determined that the measured values are within the globally accepted values, i.e., they are quite lower than the data in literature. These data would be useful to establish a baseline for natural radioactivity concentrations in food products consumed in the Republic of North Macedonia.

Corn, wheat and other different types of cereal crops, are one of the basic nutritional products in general, which have essential and vast application in the daily diet of people around the world. Cereal crops are the most important food sources, and cereal-based food is the main source of energy, protein, B vitamins and minerals for the world population. Therefore, the goal of this research is to analyze the production of wheat on arable land in the Republic of North Macedonia, as an agricultural country, which will indirectly help to draw conclusions about the impact on the economic structure of the population, their standard of living, the investment and economic fluctuations in market prices, taken as a sui generis element, set as an assumption ceteris paribus against the other determinants and factors that affect the national economy in the Republic of North Macedonia.