Gas Partial Pressure Research Articles

N2 exchanges in hyperbaric environments: towards a model based on physiological gas transport (O2 and CO2).

Decompression sickness can occur in divers even when recommended decompression procedures are followed. Furthermore, the physiological state of individuals can significantly affect bubbling variability. These informations highlight the need for personalized input to improve decompression in SCUBA diving. The main objective of this study is to propose a fundamental framework for a new approach to inert gas exchanges. A physiological model of oxygen delivery to organs and tissues has been built and adapted to nitrogen. The validation of the model was made by transferring the N2 to CO2. Under normobaric conditions (air breathing, oxygen breathing, and static apnea) and hyperbaric conditions, the O2 model replicates the reference physiological Po2 (Spearman correlation tests p<0.001). The inert gas models can simulate inert gas partial pressures under normobaric and hyperbaric conditions. However, the lack of reference values prevents direct validation of this new model. Therefore, the N2 model has been transferred to CO2. The resulting CO2 model has been validated by comparing it with physiological reference values (Spearman correlation tests p<0.01). The validity of the CO2 model constructed from the N2 model demonstrates the plausibility of this physiological model of inert gas exchanges. In the context of personalized decompression procedures, the proposed model is of significant interest as it enables the integration of physiological and morphological parameters (blood and respiratory flows, alveolo-capillary diffusion, respiratory and blood volumes, oxygen consumption rate, fat mass, etc.) into a model of nitrogen saturation/desaturation, in which oxygen and CO2 partial pressures can also be incorporated.

Modeling pulmonary perfusion and gas exchange in alveolar microstructures

Pulmonary capillary perfusion and gas exchange are physiological processes that take place at the alveolar level and that are fundamental to sustaining life. Present-day computational simulations of these phenomena are based on low-dimensional mathematical models solved in idealized alveolar geometries, where the chemical reactions between O2-CO2 and hemoglobin are simplified. While providing general insights, current modeling efforts fail to capture the complex chemical reactions that take place in pulmonary capillary blood flow on arbitrary geometries and ignore the crucial impact of microstructural morphology on pulmonary function. Here, we propose a coupled continuum perfusion and gas exchange model that captures complex gas and hemoglobin dynamics in realistic geometries of alveolar tissue. To this end, we derive appropriate governing equations incorporating a two-way Hill-like relationship between gas partial pressures and hemoglobin saturations. We numerically solve the resulting boundary-value problem using a non-linear finite-element approach to simulate and validate velocity, partial pressure, and hemoglobin saturation fields in simple geometries. We further perform sensitivity studies to understand the impact of blood speed and acidity variability on key physiological fields. Notably, we simulate perfusion and gas exchange on anatomical alveolar domains constructed from 3D μ-computed-tomography images of murine lungs. Based on these models, we show that morphological variations decrease O2 and CO2 diffusing capacity, predicting trends and values that are consistent with current medical knowledge. We envision that our model will provide an effective in silico framework to study how exercise and pathological conditions affect perfusion dynamics and the overall gas exchange function of the respiratory system. Source code is available at https://github.com/comp-medicine-uc/alveolar-perfusion-transport-modeling.

Dependence of cyanobacterium growth and Mars-specific photobioreactor mass on total pressure, pN2 and pCO2

In situ resource utilization systems based on cyanobacteria could support the sustainability of crewed missions to Mars. However, their resource-efficiency will depend on the extent to which gases from the Martian atmosphere must be processed to support cyanobacterial growth. The main purpose of the present work is to help assess this extent. We therefore start with investigating the impact of changes in atmospheric conditions on the photoautotrophic, diazotrophic growth of the cyanobacterium Anabaena sp. PCC 7938. We show that lowering atmospheric pressure from 1 bar down to 80 hPa, without changing the partial pressures of metabolizable gases, does not reduce growth rates. We also provide equations, analogous to Monod’s, that describe the dependence of growth rates on the partial pressures of CO2 and N2. We then outline the relationships between atmospheric pressure and composition, the minimal mass of a photobioreactor’s outer walls (which is dependent on the inner-outer pressure difference), and growth rates. Relying on these relationships, we demonstrate that the structural mass of a photobioreactor can be decreased – without affecting cyanobacterial productivity – by reducing the inner gas pressure. We argue, however, that this reduction would be small next to the equivalent system mass of the cultivation system. A greater impact on resource-efficiency could come from the selection of atmospheric conditions which minimize gas processing requirements while adequately supporting cyanobacterial growth. The data and equations we provide can help identify these conditions.

Optical and magnetic properties of Zn0.9Mn0.05Fe0.05O thin films deposited by RF-magnetron sputtering

Zn0.9Mn0.05Fe0.05O were synthesized by rf-magnetron sputtering in an argon gas environment show a hexagonal wurtzite structure without any secondary phases of dopants MnO or Fe2O3. The crystallite (D) parameters estimated from the XRD pattern disclose a significant decrease with argon partial gas pressure from 3.34 to 11.80 nm. The surface morphology of as-deposited films has a dense columnar microstructure with an average grain size of about 14–18 nm with roughness (RMS) from ∼2.86 to 7.67 nm. The sputtered thin films exhibit high optical transmittance in the visible range with a significant redshift as a function of working pressure. The energy band gap shows a slight increase with gas pressure in the range of about ∼3.05–3.36 eV. The films deposited for argon gas pressures of 12 & 15 mTorr have room-temperature ferromagnetism due to oxygen vacancies/defect concentrations in the host ZnO matrix.

An MPPT Controller with a Modified Four-Leg Interleaved DC/DC Boost Converter for Fuel Cell Applications

A fuel cell system can produce electricity and water more efficiently while emitting near-zero emissions. Internal constraints and operating parameters such as hydrogen, temperature, humidity levels, and oxygen gas partial pressures trigger a nonlinear power characteristic in a typical fuel cell stack, resulting in reduced overall system efficiency. Consequently, it's critical to get the most power out of the fuel cell stack while minimizing fuel use. This study examines and proposes a radial basis function network (RBFN) based maximum power point tracking technique (MPPT) for a 6-kW proton exchange membrane fuel cell (PEMFC) system. The proposed MPPT algorithm modulates the duty cycle of the modified four-leg interleaved DC/DC boost converter (MFLIBC) to extricate the maximum power from the fuel cell system. To validate the execution of the proposed controller, the outcome is related to the various MPPT control strategies such as PID &amp; Mamdani fuzzy inference systems. Finally, it was observed that the proposed RBFN controller has achieved an enhanced efficiency of 83.2 % relative to the PID and fuzzy logic controllers of 75.5 % and 77.4 % respectively. The efficiency of the proposed configuration is analysed using the MATLAB/Simulink platform.

Influence of buffer gas on the formation of N-resonances in rubidium vapors

The N-resonance process is an accessible and effective method for obtaining narrow (down to subnatural linewidth), and contrasted resonances, using two continuous lasers and a Rb vapor cell. In this article, we investigate the impact of buffer gas partial pressure on the contrast and linewidth of N-resonances formed in the D1 line of a 85Rb thermal vapor. N-resonances are compared to usual EIT resonances, and we highlight their advantages and disadvantages. Measurements were performed with five vapor cells, each containing Rb and Ne buffer gas with different partial pressures (ranging from 0 to 400 Torr). This reveals the existence of an optimum Ne partial pressure that yields the best contrast, for which we provide a qualitative description. We then study the behavior of the N-resonance components when a transverse magnetic field is applied to the vapor cell. The frequency shift of each component is well described by theoretical calculations.

Neural network-assisted emission spectra analysis of gases using MEMS sensor: Predicting chemical composition and pressure

The paper explores the potential use of neural networks to predict the chemical composition as well as the total and partial pressure of individual gases in the mixture based on their emission spectra. Excitation/ionization of gas particles is ensured by a miniature MEMS (micro-electro-mechanical) sensor. The impact of measurement conditions on the generated spectra and possible challenges in analysis are addressed. The trained neural networks achieved a mean absolute error of approximately 1.4% in determining the chemical composition of a mixture of methane and hydrogen and 0.8% for a mixture of nitrogen and oxygen. For pressure prediction, spanning several orders of magnitude, a general model predicting pressure for ten different gases achieved a relative mean absolute error of 4.5%. Additionally, a model for gas classification achieved an accuracy of over 99%.

(Invited) Nitrogen Based Solid State Magneto-Ionics

Solid-state magneto-ionic (MI) effects have shown promise for energy-efficient nanoelectronics, where ionic migration may be used to achieve atomic-scale control of interfaces in magnetic nanostructures. To date, magneto-ionics have been mostly explored in oxygen-based systems [1-4], while there is a surge of interest in alternative ionic systems due to their different ionic migration mechanisms and characteristics [5-7].We have recently demonstrated effective MI control of magnetic functionalities using a variety of ionic species, particularly nitrogen. In nitride-based Ta/CoFe/MnN/Ta films, the chemically induced MI effect is combined with the electric field driving of nitrogen to electrically manipulate exchange bias [8]. Upon field-cooling the heterostructure, ionic diffusion of nitrogen from MnN into the Ta layers occurs. A significant exchange bias is observed, which can be further enhanced by ~ 20% after voltage conditioning (Figs. 1a-1e). This enhancement can be reversed by voltage conditioning with an opposite polarity. Nitrogen migration within the MnN layer and into the Ta capping layer causes the enhancement in exchange bias, which is observed in polarized neutron reflectometry studies.We have also achieved all-nitride-based magneto-ionic systems [9]. Thin films of (001)-ordered Mn4N are grown by sputtering Mn onto Mn3N2 seed layer on Si (100) substrate. Nitrogen ion migration across the Mn3N2 /Mn layers leads to a continuous evolution of the layers to Mn3N2 /Mn4N, Mn2N/Mn4N, and eventually Mn4N alone (Figs. 1f-1g). Furthermore, we have demonstrated MI control of the exchange bias effect in an all-nitride Mn4N/MnNx system, where the field-trained exchange field can be varied up to ten times by introducing or extracting nitrogen from the nitride system. This is achieved by adjusting the nitrogen gas partial pressure during deposition or varying annealing temperature after deposition.These effects demonstrate contrasts with oxygen-based MI effects in terms of operating principles, switching speed, and reversibility. Such MI systems are valuable platforms to gain quantitative understanding at buried interfaces. They also offer potentials for device applications based on electric modulation of magnetic functionalities.This work has been supported in part by the NSF (ECCS-2151809, DMR-2005108, DMR-1828420), SRC/NIST SMART Center, and KAUST.[1] U. Bauer et al., Nat. Mater. 14, 174 (2015).[2] C. Bi et al., Phys. Rev. Lett. 113, 267202 (2014).[3] D. A. Gilbert et al., Nat. Commun. 7, 11050 (2016).[4] G. Chen et al., Sci. Adv. 6, eaba4924 (2020).[5] A. J. Tan et al., Nat. Mater. 18, 35 (2019).[6] G. Chen et al., Phys. Rev. X 11, 021015 (2021).[7] J. de Rojas et al., Nat. Commun. 11, 5871 (2020).[8] C. J. Jensen et al., ACS Nano 17, 6745 (2023).[9] Z. J. Chen et al., Appl. Phys. Lett. 123, 082403 (2023). Figure 1

Sensitivity analysis of methanol, chloroform, and dichloromethane using GAA-JLT-based gas sensor

Owing to the fact that the gate-all-around architecture is expected to prevail in the upcoming technology nodes, in this work we have taken up a simulation-based investigation on design of a gate-all-around junctionless transistor (GAA-JLT) based label-free gas sensor with conducting polymer (CP) gate. In the initial part of our work we have focused on the variation n device and sensor performance with initial work function of the CP, which depends upon its growth condition and primary doping. Interaction with various test gases modifies the CP characteristics, thereby changing its work function. Due to this a change in device characteristics is observed, which serves as the metric for assessing the GAA-JLT-based gas sensor performance. We have investigated the variation in device characteristics in the presence of different test gases. Further, the variation in sensor performance on interaction with the different test gases has been examined. The impact of operating conditions such as ambient temperature and partial pressure of the test gas on the sensing performance has been investigated. The impact of device dimension on the sensing performance has also been evaluated. Our computations reflect that tuning the initial work function of the CP by choosing the proper primary dopant concentration model along with proper tuning of the operating conditions can enhance the performance accuracy of the sensor.

Effects of H2 on microstructures of Cr2O3 scales grown in water vapour and consequences for breakaway

Model alloy, Fe-20Cr (wt%), was exposed in Ar-(5, 20)H2O, Ar-(5, 20)H2O-5H2 and Ar-20O2 (vol%) at 750 and 850 °C. The alloy formed Cr2O3 scales plus Fe-rich oxide nodules in H2O-containing gases, but a Cr2O3 scale in Ar-20O2 at 750 °C. The alloy formed an outer (Cr,Fe)-rich oxide layer and an inner, porous Cr2O3 layer in Ar-5H2O-5H2, whereas a dense Cr2O3 scale grew in Ar-5H2O at 850 °C. Application of Wagner’s theory successfully differentiated effects of oxide grain sizes and oxygen partial pressures of gases on scaling rates. Chemically inert SiO2 markers showed that Cr2O3 scales grew by outward metal diffusion.

Comprehensive theoretical study on ionic transport numbers of triple ionic-electronic conducting oxides determined by the electromotive force method

Triple ionic-electronic conducting (TIEC) oxides, as an emerging class of materials with complex conduction properties, are used in diverse electrochemical energy devices. Accurately determining the transport numbers (tx) of TIEC oxides is significant. In this study, we theoretically evaluate the reliability of the electromotive force (EMF) method in determining tx of TIEC oxides and address the issue that tx obtained by the EMF method is an apparent value (txapp). Initially, based on a precise defect distribution model, it reveals the non-uniform distributions of transport numbers within the TIEC membrane. Subsequently, through a comprehensive multiple-factor analysis, it discloses that compared with temperature and thermodynamic parameters of defect reactions, the gradient of gas partial pressure in concentration cells is the primary influencing factor affecting txapp. Notably, under conditions of relatively small gradients of gas partial pressure, txapp can be approximated as the average value of tx at both sides of the membrane. Motivated by these findings, we propose a new EMF method, which can determine the accurate tx of materials at a specific gas composition, rather than an apparent one. Overall, the finding of this study furnishes valuable insights into determining transport numbers of TIEC oxides.

Analysis of the effect of inert gas on alveolar/venous blood partial pressure by using the operator splitting method.

This study aims to investigate how inert gas affects the partial pressure of alveolar and venous blood using a fast and accurate operator splitting method (OSM). Unlike previous complex methods, such as the finite element method (FEM), OSM effectively separates governing equations into smaller sub-problems, facilitating a better understanding of inert gas transport and exchange between blood capillaries and surrounding tissue. The governing equations were discretized with a fully implicit finite difference method (FDM), which enables the use of larger time steps. The model employed partial differential equations, considering convection-diffusion in blood and only diffusion in tissue. The study explores the impact of initial arterial pressure, breathing frequency, blood flow velocity, solubility, and diffusivity on the partial pressure of inert gas in blood and tissue. Additionally, the effects of anesthetic inert gas and oxygen on venous blood partial pressure were analyzed. Simulation results demonstrate that the high solubility and diffusivity of anesthetic inert gas lead to its prolonged presence in blood and tissue, resulting in lower partial pressure in venous blood. These findings enhance our understanding of inert gas interaction with alveolar/venous blood, with potential implications for medical diagnostics and therapies.

Ni coarsening under humid atmosphere in the electrode of solid oxide cells: A combined study of density-functional theory and phase-field modeling

Ni coarsening in solid oxide cell (SOC) electrodes is known to be significantly faster under a humid atmosphere. The underlying mechanisms, though, have not been fully understood. In this work, we examine the surface diffusion of Ni(OH)x by a combination of density-functional theory and phase-field modeling. Density-functional theory is used to evaluate the adsorption and diffusion of the Ni(OH)x species on Ni (111) surface, and the results are used to obtain the effective surface diffusivity of Ni versus steam and hydrogen gas partial pressures. This diffusivity is used as an input for a phase-field model to investigate the Ni coarsening in SOC electrodes. It is found that Ni(OH)x formed through chemical reaction cannot accelerate coarsening unless an extremely high steam to hydrogen ratio is reached. However, if Ni(OH)x is formed through electrochemical reactions near triple phase boundaries (TPBs), surface diffusion of Ni(OH)x may cause faster Ni coarsening in fuel cell mode under a large overpotential. Specifically, surface diffusion of Ni(OH) may be comparable to or faster than that of Ni under an overpotential that is large but still possible under fuel cell operating conditions.

Semi-empirical model for Henry’s law constant of noble gases in molten salts

Henry’s law constant, which describes the proportionality of dissolved gas to partial pressure of free gas in liquid–gas equilibrium systems, can also be applied to mass transport applications. In this work, we investigated an approach for determining the solubility of noble gases in a molten salt liquid utilizing the equilibrium concept of Henry’s gas constant. Henry’s gas constant is described as a mathematical function dependent on the van der Waals radius of the noble gas and the temperature of the molten salt. The alteration in Gibbs free energy encompasses contributions from both surface and volume energies. Enthalpy and entropy are deduced from these surface and volume energies in the Gibbs free energy formulation. A comparative analysis was conducted between the conventional method and our proposed model. Moreover, useful chemical properties can be determined from examination of surface and volume energies. Our findings provide an accurate and general theory of Gibbs free energy that can be validated experimentally based on the model proposed herein. This work unifies the prediction of Henry gas constant and subsequently the entropy and enthalpy calculation for noble gases in a molten salt solution to a single functional form using van der Waals radius of the gas and temperature of the system. This functional form is then used to perform a multiple regression method to find two parameters corresponding to the surface energy and volume energy. These two parameters are consistent between all combinations of noble gas and molten salt.

Effect of the SiO2 instead of Al2O3 in the embedding powder on the microstructure and hot corrosion behavior of silicon-modified aluminide coatings

The effects of Si and SiO2 content in the embedding powder on the equilibrium partial pressure of halide gas were compared by material thermodynamic calculation, and higher SiO2 content facilitated the preparation of silicon-modified aluminide coatings. The microstructure and hot corrosion behavior of silicon-modified aluminide coating prepared by different SiO2 contents were studied. As the SiO2 content in the embedding powder increased, the Al, Si, and Cr content was elevated in the prepared coating surface, which promotes the Cr9.1Si0.9 phase precipitate in the coating. Besides, the corrosion weight loss of the coating was the lowest, after 50 wt% NaCl + 50 wt%Na2SO4 mixed molten corrosion at 900 °C for 100 h, showing the excellent corrosion resistance. At the initial corrosion stage, the higher Si content induces the formation of a SiO2 oxide film on the coating surface, which could resist the mixed molten salt reaction. As the corrosion process, the SiO2 oxide film and the below Al2O3 oxide film peel off due to thermal expansion mismatch. Meanwhile, the coating relies on the dispersed precipitation below the oxide film to hinder the corrosive elements and the consumption of Al elements at the final corrosion stage.

H2 promotes the premature replacement of CH4–CO2 hydrate even when the CH4 gas-phase pressure exceeds the phase equilibrium pressure of CH4 hydrate

Submarine CO2 sequestration via solid hydrate has been considered a promising strategy for controlling greenhouse gas emissions. The simultaneous replacement of CH4 from subsea natural gas hydrates through buried CO2 offers a win-win approach. Utilizing H2 as an enhancer to promote CH4–CO2 hydrate replacement, coupled with integrating the replacement products into CH4 steam reforming for cyclic H2 production, presents a potential pathway for CO2 geological storage and eventual H2 recovery. However, the enhancement mechanism of H2 in the hydrate replacement process remains unclear. Focusing on the critical replacement condition, this study investigates the effects of gas-phase partial pressures on hydrate replacement in CH4-rich systems to elucidate the H2 influence mechanism. Remarkably, the results indicate, for the first time, that H2 induces premature CH4 hydrate dissociation under conditions exceeding the corresponding CH4 gas equilibrium pressure in CO2/CH4/H2 ternary gas systems. The critical condition for hydrate replacement depends on the total system pressure, rather than CO2 gas partial pressure. Additionally, in the CH4-rich systems, the driving force for CH4 hydrate decomposition takes precedence over that for hydrate reformation in controlling replacement. The replacement ratio increases from 16.7 % to 24.5 % as the CH4 partial pressure decreases from 2.01 MPa to 1.11 MPa at 274.15 K, despite simultaneous declines in both CO2 partial pressure and total system pressure from 1.70 MPa to 0.97 MPa and from 6.10 MPa to 3.39 MPa, respectively. These findings can provide insights into the improvement of CH4–CO2/H2 hydrate replacement efficiency and the development of oceanic CO2 sequestration.

Dynamic laser ablation loading of a linear Paul trap

We present a detailed method for accumulating Ca+ ions controllably in a linear Paul trap. The ions are generated by pulsed laser ablation and dynamically loaded into the ion trap by switching the trapping potential on and off. The loaded ions are precooled by buffer gas and then laser-cooled to form Coulomb crystals for verifying quantity. The number of ions is controlled by manipulating the trapping potential of the ion trap, partial pressure of buffer gas and turn-on time of the entrance end cap voltage. With single-pulse laser ablation, the number of trapped ions ranges from tens to ten thousand. The kinetic energy of loaded ions can be selected via the optimal turn-on time of the entrance end cap. Using multiple-pulse laser ablation, the number is further increased and reaches about 4×104 . The dynamic loading method has wide application for accumulating low-yielding ions via laser ablation in the ion trap.

Exploring TMA and H2O Flow Rate Effects on Al2O3 Thin Film Deposition by Thermal ALD: Insights from Zero-Dimensional Modeling

This study investigates the impact of vapour-phase precursor flow rates—specifically those of trimethylaluminum (TMA) and deionized water (H2O)—on the deposition of aluminum oxide (Al2O3) thin films through atomic layer deposition (ALD). It explores how these flow rates influence film growth kinetics and surface reactions, which are critical components of the ALD process. The research combines experimental techniques with a zero-dimensional theoretical model, designed specifically to simulate the deposition dynamics. This model integrates factors such as surface reactions and gas partial pressures within the ALD chamber. Experimentally, Al2O3 films were deposited at varied TMA and H2O flow rates, with system conductance guiding these rates across different temperature settings. Film properties were rigorously assessed using optical reflectance methods and attenuated total reflectance-Fourier transform infrared (ATR-FTIR) spectroscopy. The experimental findings revealed a pronounced correlation between precursor flow rates and film growth. Specifically, at 150 °C, film thickness reached saturation at a TMA flow rate of 60 sccm, while at 200 °C, thickness peaked and then declined with increasing TMA flow above this rate. Notably, higher temperatures generally resulted in thinner films due to increased desorption rates, whereas higher water flow rates consistently produced thicker films, emphasizing the critical role of water vapour in facilitating surface reactions. This integrative approach not only deepens the understanding of deposition mechanics, particularly highlighting how variations in precursor flow rates distinctly affect the process, but also significantly advances operational parameters for ALD. These insights are invaluable for enhancing the application of ALD technologies across diverse sectors, including microelectronics, photovoltaics, and biomedical coatings, effectively bridging the gap between theoretical predictions and empirical results.

Time evolution of radius of bubble comprising carbon dioxide and air

The dynamics of a single bubble in an aqueous solution of carbon dioxide (CO2) and air were theoretically investigated. The time evolution of the bubble radius and that of the partial pressures of CO2 gas and air in the bubble were studied by solving the simultaneous time evolution equations for these variables analytically and numerically. It was shown that bubbles comprising CO2 gas and air, the solubilities of which in water were significantly different, exhibited peculiar behaviors that could not be expected from classical nucleation theory. The bubble radii, expressed as a function of time, exhibited peaks, kinks, and plateaus. Bubbles smaller or larger than the critical bubble radius could grow and diverge or shrink and vanish, respectively.

Pre-clinical evaluation of effectiveness of infusion solutions with different osmolarity during acute blood loss in experiments on rats

The aim of the research was to experimentally evaluate the effectiveness of infusion solutions with different osmolarity during acute blood loss in experiments on rats. Material and methods. Experiments approved by the local Ethics Committee, have been done on 30 male rats line Vistar (320 ± 35 g). Design of the research included anesthesia, simulation of acute blood loss to 50 % of circulating blood volume, its replenishment with experimental infusion solutions based on polyglycan derivatives (estimated osmolarity 1026.6, 1784.2, 2566.6 mOsm/l), research of survivability, functional state of cardiovascular and respiratory systems, blood acid-base status and gas partial pressure 5, 30, 60, 120, 180 min after the beginning of replenishment of circulating blood volume. The infusion solution Hemostabil was used as a comparison product. Results. The highest survival rate, restoration of hemodynamics and acid-base state and blood acid-base status and gas partial pressure were obtained as a result of infusion of solution with osmolarity 1026.6 mOsm/l. In this group of animals survivability accounted for 100 %, arterial pressure restored in 5 minutes after the start of infusion, indicators of blood acid-base status and gas partial pressure normalized in 120 min of experiment. All of the results had statistically significant differences (p &lt; 0.05) relative to values in other experimental groups. Conclusions. Sample of solution with osmolarity 1026.6 mOsm/l is the most effective in restoration of hemodynamics of rats with the blood loss up to 50 % of circulating blood volume. The expediency of the researches of safety of this infusion solution based on polyglucan derivatives in the capacity of medication for replenishment acute blood loss is substantiated.