Mesh Size Research Articles

Mechanical properties and stress equation of steel pipe with circular corrosion

Underground pipelines are the lifeline of the city. Steel pipes are widely used in water supply engineering, the wall thickness of the pipe will reduce due to corrosion and other reasons, resulting in a decrease in the bearing capacity. To clarify the mechanical properties of the pipe under the case of circular corrosion, a three-dimensional finite element model is established using ABAQUS, the influence of the mesh size on the convergence of the results is analyzed, and the finite element results were checked and evaluated using the analytical solution. Afterward, the effects of parameters such as corrosion diameter, corrosion depth, pipe diameter, and internal pressure on the maximum stress and displacement are studied. At last, based on 420 sets of data, the prediction equation of the pipe maximum stress is obtained. The results show that the finite element results are in good agreement with the analytical results, and the radial displacement of the corroded area is large. In corrosive areas, there are significant differences in stress at different locations. The radial displacement of the corroded area is significant, and the uncorroded area is almost unaffected. This study can provide a reference for the evaluation of the service performance of corroded steel pipes.

A least-squares augmented Lagrangian virtual element method for Reissner-Mindlin plates

A new virtual element method, augmented with local least-squares residuals, on arbitrary polygonal meshes is proposed for the Reissner-Mindlin plate model, where the families of the Lagrangian virtual elements of any equal-order or unequal-order virtual elements [ W k ] 2 − W m \left [W_k\right ]^2-W_m are used for approximating the rotation and the transverse displacement while the shear stress is locally computed at the element levels by the local L 2 L^2 projections from the discontinuous polynomial elements [ P ℓ ] 2 \left [\mathbb {P}_\ell \right ]^2 for m − 1 ≤ ℓ ≤ min ( m + 1 , k ) m-1\le \ell \le \min \left (m+1,k\right ) . Stability and error estimates are established, which hold for all values of the plate thickness (including the zero thickness) and for all the mesh sizes and for all the variables (rotation, transverse displacement and shear stress) in their norms independent of the mesh size and the plate thickness. Numerical experiments are performed to illustrate the method and the theoretical results.

Toughened Bamboo-Fiber-Modified Epoxy Resin: A Novel Polymer Coating for Superior Interfacial Compatibility

Epoxy resin is regarded as a reliable option for coating advanced materials owing to its outstanding strength, adhesion, and stability. However, its relatively weak toughness compared to common materials has limited its application. In this study, the toughness of epoxy resin was enhanced by incorporating bamboo fibers, and a novel polymer coating material for bamboo-fiber-reinforced epoxy resin was developed. Different fiber pretreatment methods were employed to address the issue of poor interfacial performance between bamboo fibers and epoxy resin, aiming to optimize its performance as an advanced material coating. The effects of curing agents, fiber mesh sizes, fiber contents, and fiber pretreatment methods on the mechanical properties of the fiber-modified resin composites were investigated. The findings indicate that the JH45 and T31 curing agents were more effective in promoting the homogeneous dispersion of fibers within the epoxy resin. Additionally, bamboo fibers modified with KH550 exhibited enhanced interfacial properties: the tensile strength of the composite demonstrated a respective increase of 31.1% and 27.0% compared to untreated fibers. Increasing the mesh size proved advantageous for improving tensile properties, albeit potentially impacting the compressive properties. Particularly noteworthy was the significantly enhanced interfacial compatibility between bamboo fibers treated with the silane coupling agent KH550 and the epoxy resin. Analysis using Fourier-transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), and X-ray diffraction (XRD) revealed that treating bamboo fibers with sodium hydroxide effectively enhanced bonding at the fiber–resin interface. This enhancement was attributed to the combined effects of bamboo fiber hydrolysis and delamination reactions. The silane coupling agent promoted the chemical reaction between bamboo fibers and epoxy resin through grafting, thereby strengthening the cross-linking property of the composites. These findings offer valuable insights into the design and fabrication of natural-fiber-reinforced polymer composites suitable for coating advanced materials.

Advancing numerical solutions for a system of singularly perturbed delay differential equations at linear rate

This work introduces a numerical technique designed to efficiently solve a specific type of differential equations known as a weakly coupled system of singularly perturbed delay differential equations. The innovation of this approach stems from its unique integration of three key elements: the Numerov method, known for its accuracy in solving second-order ODEs; a fitting factor, which improves handling of the singular perturbation parameter essential for accurately modeling SPDDEs; and the Taylor series expansion, which approximates first-order derivative terms, facilitating the application of the Numerov method to the system. Numerical experiments are conducted with varying perturbation parameters and mesh sizes to validate the method’s effectiveness. The results, expressed in terms of maximum absolute errors and the rate of convergence, demonstrate that the proposed approach achieves first-order uniform convergence.

Research on Water-Entry Hydrodynamics for a Cross-Wing Underwater Vehicle

The optimization of the water-entry strategy for cross-wing underwater vehicles has become a research hotspot in the field of engineering, and its water-entry process is quite different from that of wedges and cylinders. In order to address this problem, a water-entry numerical model for the cross-wing underwater vehicle was first established based on the CFD method. The governing equations and boundary conditions of the dynamic model were defined, along with the basic principles of discretization and turbulent flow of the governing equations. The overset mesh and the VOF multiphase flow model were introduced, and a mesh size independence analysis of the numerical model was conducted. Furthermore, the numerical results were compared with the experimental results to ensure the accuracy of the numerical model. The research focused on the cross-wing underwater vehicle’s impact with calm water and regular waves, respectively. The results show that: (1) the numerical simulations are in good agreement with the experimental results (the maximum predictive error is less than 10%), which verifies the accuracy of the numerical model in this paper; (2) when the cross-wing underwater vehicle impacts calm water, the slamming pressure curve firstly shows a trend of increasing, reaching a peak, and then decreasing sharply, and finally stabilizes. As the water-entry velocity increases, the peak slamming pressure exhibits a gradual increase; (3) during the water entry of the cross-wing underwater vehicle into calm water, the acceleration profile demonstrates a trend of initial increase, followed by a decrease, another increase, and then a subsequent decrease as the entry velocity continues to rise. It should be noted that there are two peaks in the acceleration, with the first peak being significantly smaller than that of the second; (4) when the cross-wing underwater vehicle impacts a regular wave, the slamming pressure is lowest when impacting the crest and highest when impacting the trough.

Particle Image Velocimetry Measurements and Numerical Simulation of the Flow and Vortex in a Hydraulic Mountain‐Bottom Submerged Entry Nozzle

The submerged entry nozzle (SEN) is a critical component in the continuous casting process, facilitating the transfer of molten steel from the tundish to the mold. The internal flow dynamics within the SEN are crucial as they influence several key aspects of casting, such as mold flow characteristics, inclusion transport, susceptibility to nozzle clogging, and the ultimate quality of the produced steel. In this study, a hydraulic nozzle model is established, and particle image velocimetry (PIV) is employed to measure velocity magnitudes inside the nozzle. Computational fluid dynamics simulations of the flow within the hydraulic nozzle model are conducted using the Reynolds‐averaged Navier–Stokes model and large eddy simulation (LES) with varying mesh sizes. The time‐averaged velocity magnitude calculated by the shear stress transport model using a medium mesh and the LES model with finer mesh resolution exhibits good agreement with the PIV measurements. Vortices are predominantly observed near the nozzle bottom and in close proximity to the nozzle wall. Notably, a pair of counter‐rotating vortices are identified at the nozzle bottom. Furthermore, transient fluctuations in velocity magnitude are effectively captured by LES employing finer mesh resolutions.

Numerical investigation on the error of volume-averaged reaction rate model for the low-velocity filtration combustion with hybrid-scale method

Numerical investigation on the error of volume-averaged reaction rate model for the low-velocity filtration combustion with hybrid-scale method

Riverine microplastic discharge along the southern Black Sea coast of Türkiye

Abstract Rivers are critical pathways of microplastic (MP) pollution to marine environments, yet their contributions to the Black Sea remain understudied. This study evaluates the abundance and characteristics (polymer composition, shape, size, and color) of MPs discharged from 29 rivers flowing into the southern Black Sea. Using a plankton net with a 200 μm mesh size, samples were collected from river mouths, revealing an average MP abundance of 9.63±1.27 MP/m³, ranging from 1.03 to 29.8 MP/m³. Eastern Black Sea rivers exhibited significantly higher MP levels (11.0±1.57 MP/m³) compared to western rivers (5.15±1.25 MP/m³). Annual MP discharge to the Black Sea was estimated at 1.49×10¹¹ particles. Polyethylene terephthalate (PET, 59.3±2.66%), polyethylene (PE, 20.8±2.04%), and polypropylene (PP, 14.1±2.36%) were the most common polymers, with PET and PE being significantly dominant. MP sizes ranged predominantly between 200–1.000 μm, and fibers constituted the majority of shapes (64.1%), followed by fragments (28.3%). White (36.8±1.93%) and transparent (30.9±2.39%) MPs were the most prevalent colors. While no significant differences in MP characteristics were detected between basins (NMDS and ANOSIM), this study emphasizes rivers as major pathways for MP pollution in the Black Sea. These findings underscore the urgent need for targeted mitigation strategies to safeguard marine ecosystems and biodiversity.

Reducing codend mesh size and changing configurations to improve selectivity in Australian whiting (Sillago spp.) trawls

Reducing codend mesh size and changing configurations to improve selectivity in Australian whiting (Sillago spp.) trawls

How does the tidal cycle influence the estuarine dynamics of microplastics?

Estuaries are the main pathway for the microplastics (MPs) to enter into the oceans. However, factors that drive river-sea transport of MPs are not yet fully understood. Therefore, our research investigated the influence of the tidal cycle on the abundance and characteristics of MPs in an urban estuary, through high-frequency sampling (every 2-3h) using a plankton net (120μm mesh size) in two seasons (rainy and dry seasons). The results showed that the abundance of MPs decreased during the ebb tide and increased during the flood tide. A positive correlation was found between MP abundance and water height in both seasons. The shapes and colors of MPs varied significantly throughout the tidal cycle. The results show that tides are key agents in the transfer of MPs and cannot be neglected in models of the global contribution of plastic pollution from rivers to oceans.

Comporative analysis of banana pseudostems and banana stems as adsorbents for reducing peroxide content and Free Fatty Acids (FFA) in used cooking oil

ABSTRACT Background : the increasing production and consumption of palm oil in Indonesia have led to arise in used cooking oil (UCO), classified as hazardous waste due to its high content of free fatty acids (FFA) and peroxides, which are toxic and difficult to degrade. To address this, the use of natural adsorbents such as banana pseudostems and banana stems has gained attention due to their cellulose content, which can effectively absorb harmful compound like FFA and peroxides, improving UCO quality. Method : This experimental study employed a pre-experimental design with a one-group pretest-posttest approach to evaluate the effectiveness of banana pseudostem and banana stem powder, of different mesh size (60, 100, and 200 mesh), in reducing FFA and peroxide levels in UCO. Samples of UCO were obtained from a street food vendor, while the banana plant (Musca acuminata) were collected locally. After immersing the adsorbents in UCO for 72 hour, FFA and peroxide values were analyzed using titration methods. Statistically analysis was performed using a Paired Sample T-Test. Results: The results showed a significant reduction in FFA levels, with the mopst effective reduction observed with 200-mesh adsorbents, where the FFA content decreased from 0.67% to 0.16% for psedostem adsorbent and to 0.20% for stem adsorbents. Peroxide levels were also reduced, with the stem adsorbent reducing peroxide values from 49.60mg/L to 12.92 mg/L, while pseudostem adsorbent reduce it to 14.61 mg/L. Statistical analysis confirmed a significant reduction in FFA (p=0.03), but the reduction in peroxide values was not satistically significant. Conclusion : the particle size of banana pseudostem and banana stem significantly influences the effectiveness of reducing peroxide and FFA levels in UCO. Adsorbents with a particle size of 200 mesh were most effective, with banana pseudostems performing slightly better than banana stems. This study highlight the potential of banana plant material as inexpensive and environmentally friendly adsorbents for UCO management.

Biomechanical Optimization of the Human Bite Using Numerical Analysis Based on the Finite Element Method

Biomechanical bite analysis is essential for understanding occlusal forces and their distribution, especially in the design and validation of dental prostheses. Although the finite element method (FEM) has been widely used to evaluate these forces, the existing models often lack accuracy due to simplified geometries and limited material properties. Methods: A detailed finite element model was developed using Abaqus Standard 2023 software (Dassault Systemes, Vélizy-Villacoublay, France), incorporating scanned 3D geometries of mandibular and maxillary bones. The model included cortical and cancellous bones (Young’s modulus: 5.5 GPa and 13.7 GPa, respectively) and was adjusted to simulate bite forces of 220.7 N based on experimental data. Occlusal forces were evaluated using flexible connectors that replicate molar-to-molar interactions, and the stress state was analyzed in the maxillary and mandibular bones. Results: The FEM model consisted of 1.68 million elements, with mesh sizes of 1–1.5 mm in critical areas. Bite forces on the molars were consistent with clinical trials: first molar (59.3 N), second molar (34.4 N), and third molar (16.7 N). The results showed that the maximum principal stresses in the maxillary bones did not exceed ±5 MPa, validating the robustness of the model for biomechanical predictions. Conclusion: The developed model provides an accurate and validated framework for analyzing the distribution of occlusal forces in intact dentures. This approach allows the evaluation of complex prosthetic configurations and their biomechanical impact, optimizing future designs to reduce clinical complications and improve long-term outcomes. The integration of high-resolution FEM models with clinical data establishes a solid foundation for the development of predictive tools in restorative dentistry.

Lignin-Based Mucus-Mimicking Antiviral Hydrogels with Enzyme Stability and Tunable Porosity.

Mucus is a complex hydrogel that acts as a defensive and protective barrier in various parts of the human body. The rise in the level of viral infections has underscored the importance of advancing research into mucus-mimicking hydrogels for the efficient design of antiviral agents. Herein, we demonstrate the gram-scale synthesis of biocompatible, lignin-based virus-binding inhibitors that reduce waste and ensure long-term availability. The lignin-based inhibitors are equipped with sulfate moieties, which are known binding partners for many viruses, including SARS-CoV-2 and herpes viruses. In addition, cross-linking the synthesized inhibitors yielded hydrogels that mimicked native mucus concerning surface functionality and rheology. The degree of sulfation exhibits a very strong impact on the mesh size distribution of the hydrogels, which provides a new means to fine-tune the steric and electrostatic contributions of the virus-hydrogel interaction. This feature strongly impacts the sequestration capability of the lignin-based hydrogels, which is demonstrated by infection inhibition assays involving human herpes simplex virus 1, influenza A viruses, and the bacterium Escherichia coli (E. coli). These measurements showed a reduction in plaque-forming units (HSV-1) and colony-forming units (E. coli) by more than 4 orders of magnitude, indicating the potent inhibition by the lignin-based hydrogels.

Offshore Submerged Aquaculture Flow-Net Interaction Simulation: A Numerical Approach for the Hydrodynamic Characteristics of Nets Produced from Different Materials

The mechanical and hydrodynamic characteristics of single-piece nets are key to the design and optimization of offshore aquaculture net cages. A numerical approach for offshore submerged aquaculture net materials based on the Morison equations and finite element is proposed, simulating the hydrodynamic characteristics of single-piece nets under varying parameters such as wire diameter, mesh size, and flow velocity, and simulating the impact of marine organism attachment on nets by modifying the drag coefficient. The simulation results of nets made from materials such as Copper–Zinc Alloy (Cu-Zn), Zinc–Aluminum Alloy (Zn-Al), Semi-Rigid Polyethylene Terephthalate (PET), and Ultra-High Molecular Weight Polyethylene (UHMWPE) are compared, which provides a theoretical basis for optimizing design parameters and selecting materials for nets based on force conditions and hydrodynamic characteristics. The simulation results indicate that the current force on the net is positively correlated with flow velocity; the maximum displacement of the net is also positively correlated with the flow rate. Compared to other materials, the Cu-Zn net is subjected to the greatest water flow force, while the UHMWPE net experiences the greatest displacement; the larger the diameter of the netting twine, the greater the current force on the net; the mesh size is inversely related to the current force on the net. With increasing drag coefficient, both the maximum displacement of the net and the current force experiences increase, and UHMWPE material nets are more sensitive to increases in the drag coefficient, which indicates a greater impact from the attachment of marine organisms. The density and elastic modulus of the netting material affect the rate of increase in force on the net. The research results can provide a basis for further research on material selection and design of deep-sea aquaculture nets.

Characterization of the Trophic State of Rivers’ N'Gotopkré, Anvo, Mouyassué and Toudoum of Aboisso Region (Côte d’Ivoire) from Micro-Algae: Palmer Method (1969)

Aboisso region is known for its high agricultural productivity, its numerous agro-industrial units and its gold panning activities. These sectors of activity could have consequences on water quality, and lead to changes in the composition and structure of micro-algae. This study aims to determine the trophic quality of some rivers in Aboisso region. Campaigns were conducted in four rivers N'Gotopkré, Anvo, Mouyassué and Toudoum. Phytoplankton samples were collected by horizontal traction over 6 m from surface water, using a plankton net with a 20 µm mesh size. The samples were observed using an Olympus CKX 41 optical microscope. Some books were used to identify phytoplankton species. The counting of phytoplankton was carried out using the Malassez cell and the counting unit was the cell. According determination of waters quality, Palmer method was used. A pollution index factor of 1 to 5 was assigned to 20 types of algae most tolerant to organic pollution. The microalgal flora recorded in the rivers consists of 31 taxa and divided into 3 phyla, Chlorophyta, Bacillariophyta and Cyanoprokaryota respectively with 15, 10 and 6 taxa. According to floral diversity, N’Gotopkré and Mouyassué rivers recorded the most taxa respectively with 18 and16 taxa. Analysis of phytoplankton densities indicated a predominance of Chlorophyta with 13.180.103 Cells/L and Mouyassué river with 13.080.103 Cells/L recorded the highest densities. The lowest floristic density was observed in Toudoum river with 740.103 Cells/L. According to the quality of rivers, among the 20 genera presented by Palmer (1969) as bio-indicators of organic pollution, 5 were identified in the rivers. These are the genera Oscillatoria, Scenedesmus, Navicula, Closterium and Pandorina. The different scores ranging from 0 to 13, showed values below organic pollution.

Robotic extended total extraperitoneal transversus abdominus release for traumatic flank and abdominal intercostal hernias.

Traumatic abdominal intercostal/flank hernias present a perplexing challenge for surgeons seeking to repair them. There has been a paucity of studies describing robotic repairs of such hernias. We aim to evaluate the effectiveness of the Robotic-assisted Extended Total Extraperitoneal/Transversus Abdominus Release (rETEP/TAR) method in repairing traumatic abdominal intercostal and flank hernias. Patients with traumatic abdominal intercostal hernias at a high-volume hernia center between 2019 and 2022 were identified and retrospective data including patient demographics, perioperative parameters, postoperative complications and up to a three-year follow-up were collected for those undergoing rETEP/TAR. Robotic ETEP access was gained through the retro-rectus space ipsilateral to the hernia, using a transversus abdominis release performed laterally to the level of the posterior axillary line. Dissection was completed from the pelvis to the central tendon as necessary. A total of 8 patients were analyzed. All patients suffered traumatic or Valsalvainduced hernias. The average age was 54 +/-15yrs. The mean defect size was 11x17cm. Heavyweight uncoated polypropylene mesh was placed in the retromuscular space and secured with transfascial suture. Mean mesh size was 34x30cm and mean operative time was 216 +/- 69 minutes. The median length of stay was 1 day. All patients reported improvement in pain without any evidence of recurrence at postoperative follow-up. This study demonstrates that the Robotic-assisted ETEP/TAR technique is an effective way of repairing abdominal intercostal and flank hernias.

P0009 Comparative analysis of ileal mucus in healthy individuals and Crohn’s Disease patients using scanning electron microscopy suggests changes in network structure

Abstract Background Ileal mucus is vital for intestinal health, acting as a mesh-like barrier against pathogens while permitting nutrient absorption [1,2]. Structural changes in mucus are linked to diseases like Crohn’s disease (CD) [3,4]. This study used scanning electron microscopy (SEM) to qualitatively and quantitatively compare the ultrastructure of ileal mucus in healthy individuals and CD patients. Methods Ileal mucus samples from five healthy donors and three CD patients were collected during colonoscopies and analyzed via SEM. Systematic random sampling ensured unbiased, representative image collection. Images were captured at predefined intervals using a meandering scan pattern. Morphological parameters, including pore diameter and filament properties, were measured manually with ImageJ using an unbiased counting frame. An automated tool was also employed for comparison. Rheological measurements estimated mucus mesh size, which was compared to SEM-derived pore diameters. Results Automated analysis of CD samples showed smaller median pore diameters (28.93 nm vs. 33.86 nm in healthy samples) and thicker filaments (71.58 nm vs. 36.73 nm). CD samples also had longer filaments (120.51 nm vs. 93.53 nm) and a mean pore diameter of 46.19 nm, slightly larger than healthy samples (43.73 nm). Structural differences, including altered cellular components like echinocytes, were observed in CD samples. The calculated mesh size from rheological measurements trends aligned with SEM pore diameters, validating the findings. Healthy samples were analyzed manually so far, while CD samples were analyzed using an automated tool under validation for airway mucus. Conclusion The study reveals significant structural differences in ileal mucus between healthy individuals and CD patients, offering a robust method for advancing mucosal biology research.

Machine Learning-Based Prediction of Tribological Properties of Epoxy Composite Coating

Machine learning, being convenient and nondestructive, is beneficial for evaluating the tribological properties of coatings. Here, six machine learning algorithms, using a sericite/epoxy composite coating (SEC) as an example, were employed to assess the impact of filler content (10, 15, 20, 25, and 30 wt%) and mesh size on the tribological properties of epoxy composite coatings under different loads. The results showed that the gradient boosting regression model had superior accuracy and stability compared to the other regression models, achieving friction coefficient and wear rate prediction accuracies of 93.7% and 85.7%, respectively. This model outperformed others, including decision trees, extreme gradient boosting, and Gaussian process regression. Feature importance showed that the content of sericite had the most significant influence on the tribological properties. This work provides valuable guidance for the engineering application of this material.

Hybrid structure design of expanded steel mesh to enhance the tensile performance of fiber‐reinforced composites

AbstractMetal hybrid structures with fiber‐reinforced composites optimize strength, weight, toughness, and durability while minimizing cracks and retaining structural integrity. The present investigation evaluates the tensile performance of hybrid composites manufactured from expanded steel wire meshes and fiber‐reinforced epoxy versus pure glass fiber (GE). Hybrid specimens were fabricated with steel mesh of varying pattern sizes inserted at two different positions within the composites and exposed to two loading layouts. The results indicated that replacing GE layers with steel mesh decreased specimen density by 6.25% while increasing ductility and energy absorption. Medium‐size mesh provided the most effective performance, enhancing tensile strength, peak load, energy absorption, and stiffness by an average of 18.9% over other sizes. The outer layer configuration was superior to the inner layer, improving peak strength, failure strain, stiffness, and absorbed energy by up to 25.6%. Moreover, vertical loading boosted overall performance by an average of 28.5% compared with horizontal loading. The SO2 configuration was selected via Grey Relational Analysis to be the most effective arrangement.Highlights Insight into the impact of using expanded steel mesh in GE composites. Analyzing the effect of mesh size and laminating order on tensile performance. Effect of loading layouts on the overall performance of the hybrid composites. Examining damage morphologies to assess the interlayers interaction. Superior results in terms of peak load, failure strain, and toughness.

ХИМИЧЕСКИЙ СОСТАВ СОЦВЕТИЙ КОНОПЛИ ПОСЕВНОЙ

The results of studies of the chemical composition of inflorescences of hemp seed variety Maria, growing in the territory of the Ermakovsky District of the Krasnoyarsk Region, are presented. The inflorescences were dried in a thermostat at a temperature of 50–60 °C to an air-dry state, crushed in a laboratory mill, and sieved on a sieve with a mesh size of 3–4 mm. An average sample was taken by the quartering method to study the chemical composition of hemp inflorescences. The protein content in the inflorescence of hemp seed was 14.369 %; fat – 4.03; sugars – 0.538; starch – 2.93; minerals – 20.71 %. The qualitative and quantitative elemental composition of inflorescences was studied. There is a high content of such minerals as calcium (206.000 g/kg), magnesium (17.880 g/kg), sodium (341.600 g/kg), potassium (14.800 mg/kg), iron (916.80 mg/kg). The results of the study of the fatty acid composition of hemp inflorescences showed that it contains essential polyunsaturated acids – linoleic (40.7799 %), alpha-linoleic (14.0285 %). The amino acid composition of the protein of cannabis inflorescences was determined. The content of essential amino acids threonine (0.5364 mg%), methionine (0.2232 mg%), tryptophan (0.0396 mg%), leucine + isoleucine (0.4196 mg%), valine (0.5074 mg%) , phenylalanine (0.6344 mg%), lysine (0.4312 mg%) was established. The content of ascorbic acid in the inflorescence of hemp seed was 0.121 %. The presence of vitamins of group B was established: B2 – 6.00 g/kg; B3 – 0.2905; B5 – 0.4587; B6 – 7.35 g/kg. Thus, inflorescences of hemp seed variety Maria contain physiologically significant components in their composition and can be a valuable source of raw materials in the development of formulations for various food products.