Safety Of Food Products Research Articles

Abiotic stress alleviation and contribution to resilient crop growth: A trichodermal perspective

Over the past few decades, the use of different biocontrol agents in agricultural methods has resulted in significant improvements in the safety and nutritional quality of food products. Consequently, there has been an increasing interest in finding effective alternative approaches to reduce abiotic stress pressures that also promote plant growth. Trichoderma harzianum is a biocontrol agent that has attracted scientific attention due to its remarkable capacity to combat various abiotic influences. The multifaceted mechanisms of disease prevention and crop growth acceleration exhibited by the filamentous fungus T. harzianum have rendered it a highly useful biocontrol agent. Trichoderma spp. positively influence several physiological cellular processes in plants, such as photosynthesis, stomatal conductance, gas exchange, nutrient absorption and assimilation, and water expenditure efficiency. Trichoderma species promoted optimal root development and improved the absorption of mineral nutrients from the soil. In summary, the fungus Trichoderma shows significant potential as a biocontrol agent for the sustainable protection of crops and the stimulation of plant growth. The varied mechanisms of Trichoderma species make them indispensable for the management of plant diseases. The utilization of Trichoderma potential is a significant avenue for achieving robust and ecologically sound crop production, particularly in challenging circumstances, as the worldwide agricultural sector strives for substitutes to harmful pesticides and excessive use of fertilizers.

The Probiotic Enterococcus Lactis SF68 as a Potential Food Fermentation Microorganism for Safe Food Production.

Due to the reports describing virulent and multidrug resistant enterococci, their use has become a topic of controversy despite most of them being safe and commonly used in traditionally fermented foods worldwide. We have characterized Enterococcus lactis SF68, a probiotic strain approved by the European Food Safety Authority (EFSA) for use in food and feed, and find that it has a remarkable potential in food fermentations. Genome analysis revealed the potential of SF68 to metabolize a multitude of carbohydrates, including lactose and sucrose, which was substantiated experimentally. Bacteriocin biosynthesis clusters were identified and SF68 was found to display a strong inhibitory effect against Listeria monocytogenes. Fermentation-wise, E. lactis SF68 was remarkably like Lactococcus lactis and displayed a clear mixed-acid shift on slowly fermented sugars. SF68 could produce the butter aroma compounds, acetoin and diacetyl, the production of which was enhanced under aerated conditions in a strain deficient in lactate dehydrogenase activity. Overall, E. lactis SF68 was found to be versatile, with a broad carbohydrate utilization capacity, a capacity for producing bacteriocins, and an ability to grow at elevated temperatures. This is key to eliminating pathogenic and spoilage microorganisms that are frequently associated with fermented foods.

An Investigation of Consumers Knowledge About the Quality and Safety of Food Products

An Investigation of Consumers Knowledge About the Quality and Safety of Food Products

National long-term monitoring and risk assessment of various veterinary drug residues in livestock products in the Republic of Korea

Veterinary drugs are widely used to treat livestock diseases, but the emergence of problems related to drug resistance prompted the government of the Republic of Korea to enact laws regulating the use of veterinary drugs in livestock. Monitoring the contents of residual drugs in livestock products at regular intervals is necessary to assess whether the regulations have resulted in the effective management of food product safety and prevent and manage unexpected problems related to this issue. A 2019–2023 livestock product post-marketing monitoring program launched by the Ministry of Food and Drug Safety (MFDS) of the Republic of Korea inspected 1135 livestock products. Sixty-two different veterinary drugs were detected among 167 monitored, with a detection rate of 28.2% (320/1135 samples; chicken [125], pork [114], milk [35], beef [30], and egg [16]). Diclazuril was detected most frequently, followed by flumequine, clopidol, and enrofloxacin. Over the past five years, two samples that did not conform to the regulations were identified to contain 20 and 215 ng/g, diclazuril and toltrazuril sulfone, respectively. The estimation of exposure and risk assessment revealed that the hazard index of diclazuril was below 75%. However, in case of toltrazuril sulfone, it showed a hazard index exceeding 138% in the scenario of the 95th percentile high consumption of chicken. The results of this study may provide a useful reference in initiating more targeted work in the future, such as the further fine-tuning of food safety monitoring programs and developing food safety standards. In future studies, the MFDS shall continue to monitor the statuses of residual veterinary drugs in commercial livestock products.

Quality and safety of products using GM soybeans in the diet of bulls

The production of high-quality and safe food products in areas contaminated by radiation due to the Chornobyl Nuclear Power Plant accident remains a pressing issue. The aim of this study was to determine the concentration and transfer factors of 137Cs, Pb, Cd, Cu, and Zn in bull products when including various high-protein feeds, such as narrow-leaved lupin and genetically modified soybean, in their diets. The study employed zootechnical methods (design and conduct of a scientific-economic experiment on animals), radiological and spectrometric methods (determination of the concentration of 137Cs, Pb, Cd, Cu, and Zn in feeds, longissimus dorsi muscle, liver, kidneys, and testes of bulls), and statistical methods. It was established that when using GM soybean in the grain mixture, the concentration of 137Cs in the muscle tissue of animals in Group II (experimental) decreased relative to the control by 2.57 Bq/kg, or by 40.5% with a statistically significant difference between groups (P > 0.99). Furthermore, the transfer factor of the radionuclide into the muscle tissue of animals in Group II compared to Group I also had 2.15% abs. lower. The content of Pb in the muscle tissue of bulls in both experimental groups exceeded the maximum permissible concentration by 2.52-2.78 times, while the concentration of Cd in the longissimus dorsi muscle and Cu in the liver of animals in Group II also exceeded sanitary-hygienic requirements by 10.0% and 2.0%, respectively. The introduction of 40% (by mass) of maize grain and 30% of GM soybean into the grain mixture instead of the same amount of wheat and lupin chop during the fattening of animals in the third zone of radioactive contamination contributed to significantly higher content and transfer of heavy metals into muscle tissue: Pb – by 10.3% and 0.10% abs., Cd – 10.0 and 0.03, Cu – 17.2 and 0.53, and Zn – by 17.2% and 2.40% abs. The results of the research can be used in agricultural enterprises and private households that produce livestock products in areas with a high anthropogenic load

Listeria monocytogenes in Food Production and Food Safety: A Review

In the current world of global food distribution and marketing, the outbreak of a particular foodborne disease in a region may eventually occur in another part of the world at the same time. Foodborne diseases are estimated to cause over 600 million illnesses and 420,000 deaths each year. Listeriosis, a zoonotic bacterial disease caused by Listeria spp. has been reported in various parts of the world’s disease outbreak and incidence. The highest number of diseases and outbreaks is caused by Listeria monocytogenes and is highly predominant among elderly persons, immunocompromised individuals, pregnant women, and infants. This bacterium possesses the ability to survive and multiply under refrigeration temperature, a wide range of pH (4.1 - 9.6), and high salt (≤ 10%). The disease can be minimal (non-invasive/febrile gastroenteritis) and the pathogen possesses the ability to cross the epithelium and infect sterile organs (invasive). Outside food contamination, resistance to antibiotics by Listeria monocytogenes poses major public health concerns as this bacterium has developed resistance to various antibiotics in use. In addition to food, Listeria species have been isolated from the soil, water, plants, fruits, and vegetables coupled with the long incubation period (11 - 70 days), which poses a challenge to infection source identification and trace back principle. Controlling Listeria in foods can be achieved by practicing a Hazard Analysis and Critical Control Point (HACCP) strategy in the food industry, improving hygiene measures, and avoiding the consumption of contaminated foods. Also, susceptible individuals should be educated on the risks associated with the consumption of contaminated foods.

Transfer factors of 238U, 232Th, 40K, 210Pb to crops and radiation impact assessment in semi-arid environment

Research on the safety of staple agricultural food products has always been one of humanity’s priorities and provides input for dose assessment models. Within this important priority, activity concentrations, transfer factors, and radiological effects of 238U, 232Th, 210Pb, and 40K were studied for selected crops in a village close to the NORM area, located in Central Anatolia region of Turkey. The RESRAD-onsite code has been used to assess the total dose rate. The simulation of the risk analysis covered 80 years. The maximum total dose of 0.5 mSv y−1 was obtained at t = 30 years.

PH-responsive collagen nanocomposite films reinforced by curcumin-loaded Laponite nanoplatelets for dynamic visualization of shrimp freshness

Sustainable and intelligent packaging systems, utilizing biomass-derived matrix and bioactive indicators represent promising approaches for real-time detection and monitoring of freshness of food, as well as prolonging the shelf-life and improving the quality and safety of food products. Herein, we reported pH-responsive collagen nanocomposite films reinforced by curcumin-loaded Laponite nanoplatelets which could act as smart indicators for monitoring the freshness of shrimps. Caffeic acid, as a bio-based modifier, was covalently grafted onto the surfaces of the nanoplatelets loaded with curcumin. The collagen nanocomposite films were fabricated by the incorporation of functionalized nanoplatelets through all-aqueous casting-evaporation approach. The triple-helical structure of collagen molecules was stabilized by the functionalized nanoplatelets mainly through hydrogen bonding and electrostatic interactions with uniform distribution into the film matrix. Moreover, the resultant nanocomposite films not only demonstrated favorable hydrophobicity and water vapor barrier properties, but also exhibited effective antioxidant activity and anticipated color responsiveness to pH changes and NH3 presence. The consistent changes in color of the nanocomposite film with the shrimps following days of storage supported its feasibility and potential for monitoring the freshness of shrimps. Therefore, we envision that the developed collagen-based nanocomposite films showcase great potential in the application of sustainable and intelligent packaging system for dynamic visualization of seafood freshness.

Bacteriophages: Natural antimicrobial bioadditives for food preservation in active packaging

Developing innovative films and coatings is paramount for extending the shelf life of numerous food products and augmenting the barrier and antimicrobial properties of food packaging materials. Many synthetic chemicals used in active packaging and food storage have the potential to leach into food, posing long-term health risks. It is imperative for active packaging materials to inherently possess biological protective properties to ensure food quality and safety throughout its storage. Bacteriophages, or simply phages, are bacteria-eating viruses that serve as promising natural biocontrol agents and antimicrobial bioadditives in food packaging materials, specifically targeting bacterial foodborne pathogens. These phages are generally recognized as safe (GRAS) by regulatory authorities for food safety applications. They exhibit targeted action against various Gram-positive and -negative foodborne pathogens, including Bacillus spp., Campylobacter spp., Escherichia coli, Listeria monocytogenes, Salmonella spp., Shigella spp., and Vibrio spp., associated with foodborne spoilage and illness without affecting the beneficial microbes. Phage cocktails can be applied directly on food surfaces, incorporated into food packaging materials, or utilized during food processing treatments. Unlike chemical agents, phage activity increases proportionally with the rise in pathogenic bacterial populations. Researchers are exploring various packaging materials to deliver phages with broad host range, stability, and viability ensuring their effectiveness in safeguarding various food systems. The effectiveness of phage immobilization or encapsulation on active food packaging materials depends on various factors, including the characteristics of polymers, the choice of solvents, the type of phage, and its loading efficiency. Factors such as the orientation of phage immobilization on substrates, pH, temperature, exposure to carbohydrates and amino acids, exopolysaccharides, lipopolysaccharides, and metals can also influence phage activity. In this review, we comprehensively discuss the various active packaging systems utilizing bacteriophages as natural biocontrols and antimicrobial bioadditives to reduce the incidence of foodborne illness and enhance consumer confidence in the safety of food products.

Bioenzymatic detoxification of mycotoxins.

Mycotoxins are secondary metabolites produced during the growth, storage, and transportation of crops contaminated by fungi and are physiologically toxic to humans and animals. Aflatoxin, zearalenone, deoxynivalenol, ochratoxin, patulin, and fumonisin are the most common mycotoxins and can cause liver and nervous system damage, immune system suppression, and produce carcinogenic effects in humans and animals that have consumed contaminated food. Physical, chemical, and biological methods are generally used to detoxify mycotoxins. Although physical methods, such as heat treatment, irradiation, and adsorption, are fast and simple, they have associated problems including incomplete detoxification, limited applicability, and cause changes in food characteristics (e.g., nutritive value, organoleptic properties, and palatability). Chemical detoxification methods, such as ammonification, ozonation, and peroxidation, pollute the environment and produce food safety risks. In contrast, bioenzymatic methods are advantageous as they achieve selective detoxification and are environmentally friendly and reusable; thus, these methods are the most promising options for the detoxification of mycotoxins. This paper reviews recent research progress on common mycotoxins and the enzymatic principles and mechanisms for their detoxification, analyzes the toxicity of the degradation products and describes the challenges faced by researchers in carrying out enzymatic detoxification. In addition, the application of enzymatic detoxification in food and feed is discussed and future directions for the development of enzymatic detoxification methods are proposed for future in-depth study of enzymatic detoxification methods.

Survival of Salmonella spp., Escherichia coli O157:H7, and Listeria monocytogenes in Ready-to-Eat "Guacamole": Role of Added Antimicrobials.

Ensuring the microbiological safety of food products is majorly important to regulatory agencies, producers, and consumers. This study aimed to examine the effects of three different antimicrobial agents, including chitosan (CH), mastic oil (M), and citric acid (CA), individually or as a combination, against Salmonella spp., Escherichia coli O157:H7, and Listeria monocytogenes (artificially inoculated) in Guacamole, a ready-to-eat (RTE) avocado-based salad. The Guacamole samples included untreated samples, designated as CNL, and samples treated as follows: CA 0.15% and CA 0.30% with citric acid added at 0.15% and 0.30% v/w; CH 0.5% and CH 1% with chitosan at 0.5 and 1% v/w; M 0.2% and M 0.4% with mastic essential oil (EO) at 0.2% and 0.4% v/w; CACH with CA 0.30% and CH 1% v/w; CAM with CA 0.30% and M 0.4% v/w; CHM with CH 1% and M 0.4% v/w; and CACHM with CA 0.30%, CH 1%, and M 0.4% v/w. Microbiological evaluation, monitoring of the pH values, and proximate analyses (moisture, fat, protein, ash, and water activity) were performed at different time intervals (days 0, 1, 3, 5, and 7) at two storage temperatures (4 and 10 °C). Antimicrobial treatments, particularly CH 1% and CACHM, effectively (p < 0.05) reduced Salmonella spp. and E. coli O157:H7 populations at 4 °C, while CACHM showed the most efficacy against L. monocytogenes. However, at 10 °C, antimicrobials had limited impact, and the bacterial counts exhibited an increasing trend during storage. The pH values in the avocado-based salad samples showed, in general, higher decreases at 10 compared to 4 °C, with the CHM combination showing the highest antimicrobial effect.

Machine Learning-Assisted Raman Spectroscopy and SERS for Bacterial Pathogen Detection: Clinical, Food Safety, and Environmental Applications

Detecting pathogenic bacteria and their phenotypes including microbial resistance is crucial for preventing infection, ensuring food safety, and promoting environmental protection. Raman spectroscopy offers rapid, seamless, and label-free identification, rendering it superior to gold-standard detection techniques such as culture-based assays and polymerase chain reactions. However, its practical adoption is hindered by issues related to weak signals, complex spectra, limited datasets, and a lack of adaptability for detection and characterization of bacterial pathogens. This review focuses on addressing these issues with recent Raman spectroscopy breakthroughs enabled by machine learning (ML), particularly deep learning methods. Given the regulatory requirements, consumer demand for safe food products, and growing awareness of risks with environmental pathogens, this study emphasizes addressing pathogen detection in clinical, food safety, and environmental settings. Here, we highlight the use of convolutional neural networks for analyzing complex clinical data and surface enhanced Raman spectroscopy for sensitizing early and rapid detection of pathogens and analyzing food safety and potential environmental risks. Deep learning methods can tackle issues with the lack of adequate Raman datasets and adaptability across diverse bacterial samples. We highlight pending issues and future research directions needed for accelerating real-world impacts of ML-enabled Raman diagnostics for rapid and accurate diagnosis and surveillance of pathogens across critical fields.

An Overview of Advanced Antimicrobial Food Packaging: Emphasizing Antimicrobial Agents and Polymer-Based Films.

The food industry is increasingly focused on maintaining the quality and safety of food products as consumers are becoming more health conscious and seeking fresh, minimally processed foods. However, deterioration and spoilage caused by foodborne pathogens continue to pose significant challenges, leading to decreased shelf life and quality. To overcome this issue, the food industry and researchers are exploring new approaches to prevent microbial growth in food, while preserving its nutritional value and safety. Active packaging, including antimicrobial packaging, has gained considerable attention among current food packaging methods owing to the wide range of materials used, application methods, and their ability to protect various food products. Both direct and indirect methods can be used to improve food safety and quality by incorporating antimicrobial compounds into the food packaging materials. This comprehensive review focuses on natural and synthetic antimicrobial substances and polymer-based films, and their mechanisms and applications in packaging systems. The properties of these materials are compared, and the persistent challenges in the field of active packaging are emphasized. Specifically, there is a need to achieve the controlled release of antimicrobial agents and develop active packaging materials that possess the necessary mechanical and barrier properties, as well as other characteristics essential for ensuring food protection and safety, particularly bio-based packaging materials.

Guyana’s Ongoing Commitment to Food Safety: Protecting Public Health Everyday

Guyana is better equipped to adapt to the evolving challenges and complexities of the food supply chain while ensuring the consistent delivery of safe and quality food products to its citizens.

Quantitative detection and survival analysis of VBNC Salmonella Typhimurium in flour using droplet digital PCR and DNA-intercalating dyes.

Salmonella, a major foodborne pathogen, poses significant risks, particularly to vulnerable groups like infants, older people, and the immunocompromised. Accurate detection is vital for public health and food safety, given its potential to cause severe and life-threatening symptoms. Our study demonstrated digital polymerase chain reaction (ddPCR) with DNA-intercalating dyes for identifying the different physiological statuses of Salmonella. Also, the application of ddPCR with DNA-intercalating dyes offers quantification of viable cells post-disinfection as an alternative method in food. Utilizing ddPCR and DNA-intercalating dyes, we enhanced the detection of VBNC Salmonella, a form often undetectable by conventional methods. This innovative approach could significantly improve the precision and efficiency of detection for viable Salmonella. By providing deeper insights into its transmission potential, our method is a critical tool in preventing outbreaks and ensuring the safety of food products. This research contributes substantially to global efforts in controlling foodborne illnesses and safeguarding public health.

Effect of cold plasma treatment on the quality and nutritional value of plant materials. Scoping review

Cold plasma treatment is a new technology for non-thermal processing of food products, which helps to increase the expiration date of plant foods without adversely affecting their nutritional value and organoleptic parameters. The work was aimed at analyzing studies into the effect of cold plasma treatment of plant materials on their chemical composition and secondary plant metabolites, as well as organoleptic parameters. The review includes articles published in English in 2015–2023. The search for scientific literature on this topic was conducted across Scopus and Web of Science using keywords. The studies show that the effect of cold plasma treatment on proteins, lipids, carbohydrates, and organoleptic parameters of plant materials depended primarily on the exposure time, intensity, power, frequency, gas flow rate, as well as the amount and type of processed plant materials. Due to the high oxidation potential and antimicrobial activity, cold plasma technology can provide an effective way to increase the shelf life and expiration date of plant materials without adversely affecting the organoleptic parameters, physicochemical parameters, and nutritional value of the product. However, limitations exist for its widespread industrial implementation. Further studies are required to determine specific treatment parameters for different types of materials and to confirm the safety and possible toxicity of cold plasma-treated food products.

Applications of cold plasma technique to enhance the safety and quality of different food products

Cold plasma (CP) has emerged as a novel technology for food processing. Its uses have been expanded into the food industry globally as an effective non-thermal processing technique with various applications. CP treatment uses reactive species for microbial inactivation, mycotoxin degradation, enzyme inactivation, protein modification and hydrogenation. CP treatment improves the physiochemical properties of different food products and the antimicrobial properties of packaging films. This review article demonstrates the applications of CP treatment in different food industries. It also explains the mechanism of microbial reduction in food components by using CP. The plasma source and impact of CP on food quality and safety have been discussed. CP is a key technology to increase the shelf life of food products while enhancing their safety with minimal impact on their bioactive compounds.

Automated Characterization of Macroscale Tissue 3D Spatial Material Properties via Robotically-Directed Impedimetric Sensing

Here, we report a novel method for automated characterization of bulk tissue 3D spatial properties based on reverse engineering-driven non-planar tool path planning and robotically-directed sensing. The method incorporates information on object (e.g., tissue) and inspection tool (e.g., sensor) geometry for automated inspection of tissue mechanical and dielectric properties across macroscopic nonplanar domains as large as 44 cm <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$^{2}$</tex-math> </inline-formula> . The process avoids the need for manual sensor-tissue integration processes. The impact and the utility of the method were demonstrated by automated mapping of 3D spatial distributions of mechanical and dielectric properties of plant and animal tissues using multiple complementary impedimetric-based sensors of varying types and form factor, including rigid micro-electromechanical systems (MEMS) and flexible multi-functional fibers. Applications to automated characterization of food quality (e.g., type and age) are provided, including 3D spatial mapping of plant and animal tissue mechanical and dielectric property distributions. Ultimately, automated methods for 3D spatial inspection of plant and animal tissue properties are critical to agriculture, food processing, organ transplantation, and biomanufacturing industries. <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Note to Practitioners</i> —This article is motivated by the need for automating the inspection of soft 3D biological objects. Here, we present a method that generates 3D quality maps of tissue properties using several sensors. The proposed tool path planning program outputs a customized tissue-conforming path for inspection based on the topographical features of the tissue. Hence, this method enables high-throughput, spatially-resolved, minimally-invasive, and reliable inspection of soft 3D biological objects. Applications to inspection of food quality were provided using two impedimetric-based sensors. Practitioners can directly apply the framework to inspection of other tissue properties and soft objects. This work provides an advance in automated methods for inspection, and real-time monitoring of tissue 3D property distributions, which reduces the need for manual tissue handling and requirement for sensor-product interface prior to characterization. This work can be implemented in various biomanufacturing applications and industries, including food safety and quality control, tissue engineering, and organ transplantation, to ensure the quality and safety of macroscopic tissue-engineered medical and food products.

Development and validation of QuEChERS-based LC-MS/MS method for simultaneous quantification of eleven N-nitrosamines in processed fish meat, processed meat, and salted fish products

N-Nitrosamines (NAs) pose a threat to food safety due to their carcinogenic and mutagenic properties. In this study, we developed and validated a QuEChERS-based LC-MS/MS method for the simultaneous analysis of 11 NAs in 74 processed fish meat, processed meat, and salted fish products. Sample preparation was optimized by screening two versions of QuEChERS buffer, four extraction methods, and eight purification methods. The optimal analytical approach was validated for three product categories in terms of linearity, matrix effects, accuracy, and precision. Satisfactory precision and accuracy were demonstrated, with relative recoveries of 70–120% for the 11 NAs. The limits of detection for fish meat, processed meat, and salted fish products were 0.12–7.50, 0.12–4.14, and 0.10–7.81 ng·g−1, respectively. Among the 11 NAs, nine were detected in all 74 samples. This methodology could be applied to monitor NA levels to ensure the safety and quality of food products.

Индикаторы цифрового развития малых форм хозяйствования АПК Волгоградской области

The successful adaptation of the regional agro-industrial complex to a new technological order is impossible without activating the maximum number of resources available to national agriculture: management, production, economic, financial, technological, demographic, and climatic, as well as any other factors that stimulate the transition of the agricultural sector of the Russian economy to a qualitatively new level of scientific and technological development. The fourth technological order in agriculture will become the basis for a qualitatively different level of automation and digitalization of agro-industrial production, within which the role of the business entity will be largely limited only to making key managerial, production, and economic decisions. Technological processes will be fully automated through the widespread use of robotics, digital twins, predictive and cognitive technologies, EFR and CRM systems, the Internet of Things, etc. The need to optimize these solutions and integrate them into a single production and digital network will stimulate the creation of so-called digital ecosystems in the agricultural economy. These ecosystems are “a set of technological platforms, applied Internet services, analytical, and information systems created on the basis of a computer network infrastructure with the characteristics of self-regulation, adaptability, and sustainability for the purpose of joint production or promotion of a given benefit, information exchange, and evolutionary development of the system” aimed at satisfying people’s needs for high-quality and safe food products based on the use of resource-saving and environmentally friendly technologies. The article examines the most significant indicators of the digital development of small agricultural businesses in the context of their ability to function within the framework of regional digital business ecosystems, as well as the prospects for the integration of small businesses into global ecosystems of the digital economy. A set of statistical data was studied that gives an idea of the use of digital technologies in the agricultural sector of the regional economy. A set of statistical data on the use of digital technologies in the agricultural sector of the regional economy has been studied, some indicators of the level of digitalization of small agribusiness entities have been identified and analyzed, making it possible to determine the trajectory of the digital development of micro-farm enterprises and to develop the general contours of a forecast scenario for the integration of small agricultural forms into the digital business ecosystem of the agricultural economy.