The antimicrobial effect of a cream containing extracts of African geranium (Pelargonium sidoides DC.), black elderberry (Sambucus nigra L.), and St. John’s wort (Hypericum perforatum L.) in colloidal nanosilver (AgNPs) at a concentration of 30 ppm, denoted as SILVER STOP^® cream (SS^® cream), was examined in vitro. The research was performed with Escherichia coli (ATCC and two clinical isolates), Staphylococcus aureus (ATCC and two clinical strains), and Candida albicans (ATCC and two clinical isolates). The agar-gel diffusion method and suspension tests for determination of the time of antimicrobial action of SS^® cream were used. SS^® cream showed significant antimicrobial activity. The Gram-negative microorganisms tested died in a much shorter time than the Gram-positive ones. In suspension with a density of 10⁴ cells·mL⁻¹, E. coli died for 1 min, the oval fungus C. albicans—after 10 min and S. aureus—after 60 min of exposure to SS^® cream. The highest sensitivity was found in E. coli. The curative effect of SILVER STOP^® cream was also examined in vivo in dogs with different skin diseases. The results showed successful healing of the diseases and a very good curative effect of the cream.

Gesneriaceae plant family is comprised of resurrection species, namely Boea hygrometrica and Paraboea rufescens, that are native to the Southeast Asia and Haberlea rhodopensis, Ramonda myconi, and Ramonda serbica, which are mainly found in the Balkan Peninsula. Haberlea rhodopensis is known to be able to survive extreme and prolonged dehydration. Study was carried out after the dried plant Haberlea rhodopensis Friv. had been hydrated and had reached its fresh state. Two juice samples were collected from the plant blossom: The first sample was prepared with 1% filtered water through a patented EVOdrop device. Then the sample was saturated with hydrogen with EVOdrop booster to a concentration of 1.2 ppm, pH = 7.3, ORP = −390 mV. This first sample was prepared with filtered tap water from Sofia, Bulgaria. The second sample, which was a control one, was developed with tap water from Sofia, Bulgaria, consisting of 1% solutions of Haberlea rhodopensis. A study revealed that during the drying process in H. rhodopensis the number of free water molecules decreases, and water dimers are formed. The aim of our study was to determine the number of water molecules in clusters in 1% solutions of hydrated H. rhodopensis plants. Results were analyzed according to the two types of water used in the experiment. Th EVOdrop device is equipped with an ultranano membrane and rotating jet nozzle to create a vortex water and saturation thanks to a second device EVObooster to obtain hydrogen-rich water. In the current study Hydrogen-rich water is referred to as Hydrogen EVOdrop Water (HEW). Research was conducted using the following methods—spectral methods non-equilibrium energy spectrum (NES) and differential non-equilibrium energy spectrum (DNES), mathematical models, and study of the distribution of water molecules in water clusters. In a licensed Eurotest Laboratory, the research of tap water before and after flowing through the EVOdrop device was proven. Studies have been carried out on the structuring of water molecule clusters after change of hydrogen bond energies. The restructuring comes with rearrangement of water molecules by the energy levels of hydrogen bonds. Local extrema can be observed in the spectrum with largest amount of water molecules. The structural changes were tested using the NES and DNES spectral methods. The conducted research proved that the application of EVOdrop device and EVObooster changes the parameters of water to benefit hydration and health.

The present study investigated the ¹H Nuclear Magnetic Resonance (NMR) spectra of hydrogen-rich water (HRW) produced using the EVObooster device. The analyzed HRW has pH = 7.1 ± 0.11, oxidation–reduction potential (ORP) of (−450 ± 11) mV, and a dissolved hydrogen concentration of 1.2 ppm. The control sample was tap water filtered by patented technology. A 600 NMR spectrometer was used to measure NMR spectra. Isotropic 1H nuclear magnetic shielding constants of the most stable clusters (H₂O)_n with n from 3 to 28 have been calculated by employing the gauge-including-atomic-orbital (GIAO) method at the MPW1PW91/6-311+G(2d,p) density function level of theory (DFT). The HRW chemical shift is downfield (higher chemical shifts) due to increased hydrogen bonding. More extensive formations were formed in HRW than in control filtered tap water. The exchange of protons between water molecules is rapid in HRW, and the ¹H NMR spectra are in fast exchange mode. Therefore, we averaged the calculated chemical shifts of the investigated water clusters. As the size of the clusters increases, the number of hydrogen bonds increases, which leads to an increase in the chemical shift. The dependence is an exponential saturation that occurs at about N = 10. The modeled clusters in HRW are structurally stabilized, suggesting well-ordered hydrogen bonds. In the article, different processes are described for the transport of water molecules and clusters. These processes are with aquaporins, fusion pores, gap-junction channels, and WAT FOUR model. The exponential trend of saturation shows the dynamics of water molecules in clusters. In our research, the chemical shift of 4.257 ppm indicates stable water clusters of 4–5 water molecules. The pentagonal rings in dodecahedron cage H₃O⁺(H₂O)₂₀ allow for an optimal arrangement of hydrogen bonds that minimizes the potential energy.

This study explores the structural and chemical interactions between glacial water, ice I_h, and hydration clusters of divalent cations (Ca²⁺ and Mg²⁺). Ice I_h, with its hexagonal lattice and tetrahedral bonding network, is incompatible with the hydration shells of Ca²⁺ and Mg²⁺, which adopt octahedral geometries in aqueous solutions. During freezing, these hydration clusters become disordered, causing distortions in the ice structure. Slow freezing reduces these distortions, while rapid freezing traps ions in amorphous regions, preventing proper alignment of hydration clusters. Through advanced techniques such as chemical and isotopic analysis, computational modeling, and electrical impedance spectroscopy, this study examines ion exclusion mechanisms and water-clustering behaviors. The results show that both ions are largely excluded from the solid phase during freezing, with Mg²⁺ exhibiting stronger exclusion due to its smaller ionic radius and greater hydration energy. This study also highlights the role of sediments in modulating ion patterns in glacial ice. This work deepens our understanding of ion–ice interactions, offering insights for cryochemistry, hydrology, and environmental science. The integration of experimental and computational methods provides new perspectives on divalent cations’ role in modifying ice’s crystalline structure and explains isotopic variability in glacial waters.

The objective of this research was to investigate silver adsorption on biochars prepared by the carbonization of desiliconized rice husks and cotton fabric, and to elucidate the adsorption mechanism. The biochars were characterized using various instrumental techniques, including thermogravimetric analysis (TGA), X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), X-ray photoelectron spectroscopy (XPS), and low-temperature nitrogen adsorption. The adsorption process was studied under multiple parameters affecting silver adsorption and was best described by the pseudo-second-order kinetic model. Both the Langmuir and Freundlich isotherm models provided good correlations for the adsorption of silver ions onto the biochars. Thermodynamic analysis indicated that the adsorption of Ag⁺ ions was spontaneous and exothermic. XPS confirmed the presence of metallic silver (Ag⁰) in the biochars RHB and ARHB, suggesting that a reduction process occurred during silver adsorption. Additionally, in vitro studies were conducted to evaluate the antimicrobial activity of silver-loaded activated rice husk biochar against E. coli strains.

The method of Non-equilibrium Energy Spectrum (NES) was applied in measurement of hydrogen bonds energy distribution in 1% Rosa damscena L. oil solution in deionized water. Local maxima in this spectrum were identical with these obtained in investigations of other biologically active solutions and related to particular bio effects as follows: (-0.1387 eV; 8.95 µm; 1117 cm-1). This local maximum is typical for antibacterial, anti-tumor and anti-inflammatory effects. The local maxima at (-0.1212 eV; 10.23 µm; 978 cm-1) and (-0.1262 eV; 9.82 µm; 1018 cm-1) are typical for anti-inflammatory effects and this at (-0.1112 eV; 11.15 µm; 897 cm-1) is typical for effects on the nervous system and nerve conductivity. Information theoretical analysis was performed using the values of Shannon entropy and Transformational information entropy, pointing to hydrogen bonds distribution similarities between Rosa damscena L., V. myrtillus L. and Salvia divinorum Epling. The possible chemical causes of these similarities were identified as antioxidant activity and polyphenols concentration.