Next Article in Journal
Soil–Plant Relationships in Soybean Cultivated under Crop Rotation after 17 Years of No-Tillage and Occasional Chiseling
Previous Article in Journal
Antifeeding and Oviposition Deterrent Effect of Ludwigia spp. (Onagraceae) against Plutella xylostella (Lepidoptera: Plutellidae)
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Research of Water Molecules Cluster Structuring during Haberlea rhodopensis Friv. Hydration

1
Scientific Research Center of Medical Biophysics (SRCMB), 1111 Sofia, Bulgaria
2
EVODROP AG, 8048 Zürich, Switzerland
3
Faculty of Physics, Sofia University “St. Kliment Ohridski”, 1000 Sofia, Bulgaria
4
Department of Biochemistry, Molecular Medicine and Nutrigenomics, Medical University-Varna, 9002 Varna, Bulgaria
5
Faculty of Veterinary Medicine, University of Forestry, 10 Kl. Ohridski Blvd., 1756 Sofia, Bulgaria
6
Department of Internal Noncommunicable Diseases, Pathology and Pharmacology, Faculty of Veterinary Medicine, University of Forestry, 10 Kl. Ohridski Blvd., 1756 Sofia, Bulgaria
7
Faculty of Agriculture, Department Biochemistry, Microbiology, Physics, Trakia University, 6000 Stara Zagora, Bulgaria
8
Department of Kinesitherapy and Rehabilitation, National Sports Academy “B. Levski”, 1700 Sofia, Bulgaria
9
Medical University-Sofia, 1606 Sofia, Bulgaria
10
Nature Bioresearch, 35300 Fougeres, France
*
Author to whom correspondence should be addressed.
Submission received: 1 September 2022 / Accepted: 4 October 2022 / Published: 10 October 2022
(This article belongs to the Topic Natural Compounds in Plants)

Abstract

:
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.

1. Introduction

Haberlea rhodopensis Friv. is a Balkan endemic plant primarily found in the Rhodope Mountains in Bulgaria. It is known for its drought resistance and biosis–anabiosis–biosis cycle [1]. It is a protected species under the Law on Biological Diversity in Bulgaria [2] The plant is listed in the Red Book of Bulgaria in the category of rare species, Balkan endemic [3]. The biosis–anabiosis–biosis cycle may unveil new properties of the water. A study revealed that, during the drying process in H. rhodopensis, the number of free water molecules decreases, and water dimers are formed (Kuroki, et al., 2019) [4]. After contact with water, H. rhodopensis plants straighten up. However, the reasons for this phenomenon are not fully known. We consider it to be possible to evaluate hydration with NES and DNES methods and based on water properties when applied after dehydration of H. rhodopensis.
The equipment used for these studies is the EVOdrop device with an ultranano membrane [5] and rotating jet nozzle for vortex water [6]. The ultranano membrane is a competitor to the reverse osmosis membrane. The rotating jet nozzle for vortex water [7] is equipped with three injection nozzles according to the golden ratio and algorithm. Some research has been conducted on the effects of magnetic field on water [8,9,10] and nanomembranes [11,12].
Hydroxyl groups (-OH) in H2O molecules are polar. A covalent bond of water molecules is a chemical bond that involves the sharing of electron pairs between O and H atoms. Between H2O molecules, there are electromagnetic hydrogen bonds Hydrogen bonds are weaker than covalent bonds. The water molecules could be bonded into complex intermolecular clusters, described by a general formula (H2O)n. The NES and DNES spectral methods are related to the research of parameters of hydrogen bonds, with estimation of the effects in a 1% solution (v/v) H. rhodopensis in filtered water, prepared with a patented EVOdrop device and saturated with hydrogen with an EVOdrop booster. As a control, 1% H. rhodopensis with tap water was used.
Research by Smith et al. and Keutsch and Saykally showed water clusters with 3 to 50 water molecules [13,14]. Different water cluster models are also described in the investigations conducted by Fowler et al. [15], Shu et al. [16], Chaplin [17], Sykes [18], Liu, Cruzan and Saykally [19], Choi and Jordan [20], Loboda and Goncharuk [21] and Timothy and Zwier [22].
The following methods have been generally used to study water clusters—1H NMR [23,24], far-infrared [25], vibration–rotation–tunneling (VRT) [19], neutron diffraction [26], and the SCC-DFTB Method [18,27]. A cluster model at (E = −0.1387 eV) (λ = 8.95 μm) (ṽ = 1117 cm−1) has been proposed with 20 water molecules in a dodecahedral structure with diameter of the circumscribed sphere equal to 0.822 nm [28,29,30]. The basis of this research is the NES and DNES methods of Antonov et al. [31,32,33].
It is accepted that the aqueous solutions can undergo autoprotolysis, i.e., the H+ proton is released from the H2O molecule and then transferred and accepted by the neighboring H2O molecule, resulting in the formation of hydronium ions as H3O+, H5O2+, H7O3+, H9O4+, etc. Thus, water should be considered as an associated liquid composed of a set of individual H2O molecules, linked together by hydrogen bonds and weak intermolecular van der Waals forces [19]. The simplest example of such a complex can be a water dimer.
The research has shown that 1% solution of H. rhodopensis in water filtered by EVOdrop with hydrogen has the highest hydrogen bonds energies among water molecules at (−0.1112 eV; 11.3 μm; 887 cm−1). The EVOdrop device has an nano membrane and rotating jet nozzle for vortex water and saturation, thanks to a second device EVObooster for hydrogen-rich water. There is an increase in the local extremum in the spectrum compared to the control sample with 1% solution of H. rhodopensis in tap water filtered by EVOdrop with hydrogen.
The local extremum at (−0.1112 eV; 11.3 μm; 887 cm−1) is related to calcium conductivity [32,34]. Some studies reveal that signaling-related genes encoding a calcium channel protein are activated after hydration of H. rhodopensis [34]. Calcium is involved in the regulation of DT mechanisms [35]. The calcium ions in xyloglucan enhance strength and flexibility [36].
The aim of the study was to show that water filtered by EVOdrop with hydrogen has better hydration properties and structuring of water molecules into clusters.
The excepted applications are for positive effects on human health.

2. Results and Discussion

The reported results are average values between the results of the application of the device to test 10 different water samples after treatment with the EVOdrop devices and 10 control water samples. For each sample, 10 measurements were performed. There was a statistically significant difference between the results of the two groups of samples and the control samples according to Student’s t test with p < 0.05.

2.1. Mathematical Models of Clusters in a 1% Solution of Haberlea rhodopensis Friv. Blossom Extract

A mathematical model of the number of water molecules [37,38,39] according to the energy of hydrogen bonds in a 1% solution of H. rhodopensis blossom extract has been developed (Table 1; Figure 1).
The distribution of the number of water molecules in a 1% solution of H. rhodopensis blossom extract in EVOdrop-filtered, hydrogen-saturated tap water and in the control sample of tap water from Sofia, Bulgaria in accordance with the energy of hydrogen bonds is presented in Table 1.
Figure 1 presents the distribution of the number of water (H2O) molecules in EVOdrop filtered tap water and saturated with Hydrogen (H2) (sample) and tap water (control sample) according to the energy of hydrogen bonds. The model shows the number of water molecules and their structuring in clusters.
The function f(E) is a distribution spectrum according to energies. The non-equilibrium energy spectrum (NES) is measured in eV−1.
The local extremum at E = −0.11 eV; λ = 11.3 μm (ṽ = 887 cm−1) is specific to calcium carbonate ions [32,40]. The local extremum at E = −0.1112 eV or (λ = 11.3 μm; ṽ = 887 cm−1) is typical for calcium conductivity [41,42].
In 2016, Kostainova and co-authors performed in vitro research on keratinocytes. They found that H. rhodopensis extracts affect the cell periphery of these cells. The keratinocytes were cultured under standard conditions and supplemented with additional calcium ions (Ca2+) in order to stimulate tight junction formation, thereby suppressing proliferative activity [43].

2.2. Results from Spectral Analysis of EVOdrop Water with NES and DNES Methods

Measurements with the NES and DNES spectral methods show a significant difference between EVOdrop water and the control sample.
The test sample consisted of 1% H. rhodopensis blossom extract in filtered water, obtained with the patented EVOdrop device and saturated with hydrogen with the EVOdrop booster. The control sample was of 1%. H. rhodopensis blossom extract in deionized water.
The result for the test sample in the NES-spectrum was −0.1203 eV, while for the control sample it was −0.1151 eV. The values of ∆E for EVOdrop water, measured by the DNES method, were in the interval (−0.0052 eV). The highest number of water clusters in the sample was 15 (−0.1112 eV; 11.3 μm; 887 cm−1). The number of water molecules in the control sample was 2.
The difference is considerable and shows a higher-level structuring of water clusters in comparison with the control sample. Recently, Ignatov et al. [39] found that in water, clusters with different numbers of H2O molecules are formed due to the formation of hydrogen bonds. The average hydrogen bonds energy (HBE) increases with the number of H2O molecules in the clusters, and with the evaporation of water droplets. According Mehandjiev et al. [44], in bulk water, at the beginning of evaporation, the maximum number of clusters has an average HBE of (−E) = 0.1162 eV and contains 12–13 H2O molecules. Discrete changes in HBE of water clusters have the same value and are based on the formation of clusters with different numbers of water molecules.
H. rhodopensis, tested in our research, is a “resuscitating” plant with unique properties, a Bulgarian endemite. This is the only plant that recovers after a long drying time and has an ability to survive up to 31 months dried in an herbarium [44]. It is the only one in which Kuroki et al. [6] proved the presence of clusters of two water molecules in a dry state. There are no proven cluster formations in other plants. When H. rhodopensis dries out, dimers of water molecules are formed [6]. When being watered the dry plant turns green. After dehydration of H. rhodopensis, the degree of hydration can be estimated with the NES and DNES methods depending on the water quality.
Our results with H. rhodopensis show that after drying, the formation of clusters of water molecules depends on the type of water. The experiments were conducted with deionized and filtered EVOdrop water. The EVOdrop device enables the formation of clusters in water. The structuring of the water molecules was established, which are analyzed with NES and DNES methods.
In recent years, H. rhodopensis has drawn the attention of researchers due to its beneficial effects on human and animal health. The extract of the plant contains high levels of flavonoid antioxidants [45,46]. We used such an extract in the present study. The plant has a tonic and anti-aging effect. In folk medicine, it is used to cleanse the stomach, liver, kidneys, and blood vessels [47,48]. Aqueous and alcoholic extracts of H. rhodopensis have shown unique medical and pharmaceutical potential, related to their antioxidant, radioprotective, antimicrobial, antimutagenic, immunostimulatory, anticancer, and anti-aging effects. The extract could be used in phytotherapy, human and veterinary medicine and cosmetics [49,50]. Our results show that its unique useful properties can be enhanced using EVOdrop technology.

3. Materials and Methods

3.1. Plant H. rhodopensis Friv.

Ethanol extract from the H. rhodopensis leaves and blossom were used in our study (Figure 2). H. rhodopensis Friv. oil has the following chemical composition (Table 2) [51]:
Figure 3 illustrates flowers of H. rhodopensis.

3.2. The EVOdrop Turbine Water Purifier

The proprietary operating principle and developed geometry of the EVOdrop turbine (Figure 4) allow for highly efficient treatment. Incoming water passes through the rotating turbine, driving it with its pressure, which in turn makes water pass through the rotating device. Specific outcomes of this treatment are based on magnetohydrodynamic forces [4,5]. Figure 4 shows EVOdrop’s turbine operation principle.
Figure 5 illustrates the EVOdrop filter.

3.3. The EVOdrop Booster for Hydrogen-Rich Water

The EVOdrop Booster produces hydrogen-rich water. EVOdrop hydrogen water has a concentration of hydrogen (Figure 6).
Figure 7 illustrates the EVObooster device for EVOdrop hydrogen water.
The biological effects of hydrogen-rich water at a concentration of 0.08–1.5 ppm are described [17,18]. In the current study, hydrogen-rich water is referred to as Hydrogen EVOdrop Water (HEW).

3.4. Differential Non-Equilibrium Energy Spectrum (NES) and Differential Non-Equilibrium Energy Spectrum Spectral Analyses (DNES)

The device of the author A. Antonov [52,53,54,55] for spectral analysis with NES and DNES methods is based on an optical principle. The evaporation of water drops is performed in a hermetic camera with a glass plate and water-proof transparent pad which consists of thin maylar folio. Evaporation of water drops was performed at a stable temperature of 22 °C. The drops were placed on a BoPET (biaxially oriented polyethylene terephthalate) foil with a 350 µm thicknesses (Figure 8).
The parameters are as follows:
  • Monochromatic filter with wavelength λ = 580 ± 7 nm;
  • Angle of evaporation of water drops from 72.3° to 0°;
  • Energy range of hydrogen bonds among water molecules is λ = 8.9–13.8 µm or E = −0.08–−0.1387 eV.
The energy (E) of hydrogen bonds among H2O molecules in the water sample is measured in eV. The function f(E) is called the energy distribution spectrum. The energy spectrum of water is characterized by a non-equilibrium process of water droplet evaporation; this is non-equilibrium energy spectrum (NES) and is measured in eV−1. DNES is defined as the difference
∆f(E) = f (samples of water) f (control sample of water),
DNES is measured in eV−1
where f(*) denotes the evaluated energy [31,32].

3.5. Filtration with EVOdrop Filter for Tap Water, Sofia, Bulgaria

Table 3 illustrates the physicochemical parameters of tap water from Sofia, Bulgaria before and after filtration with the EVOdrop device. The certificate No. 10216/21.07.2022 corresponds to the water before filtration, and No. 10217/14.07.2022 after filtration, with the EVOdrop device. The research was performed according to the parameters of Ordinance No. 9/2001, Official State Gazette, issue 30, and Decree No. 178/23.07.2004 regarding the quality of water intended for consumption and domestic uses in the accredited laboratory “Eurotest control” JSC, Sofia, Bulgaria [56].
The research of physicochemical filtration with the EVOdrop filter shows that there is filtration of molecules with bigger sizes, such as hydrocarbonate ions (HCO3). The result for HCO3 is from 27.5 ± 2.8 to less than 24.4 mg·L−1. There is an increase in pH from acidic value to alkaline—from 6.73 ± 0.11 to 8.88 ± 0.11. The hardness of tap water after filtration is reduced from 1.76 ± 0.5 to 0.98 ± 0.24.

4. Conclusions

The unique properties of Haberlea rhodopensis Friv., related to interaction between the water molecules during the biosis–anabiosis–biosis cycle, were used to investigate EVOdrop nanofiltration technology of tap water and its enrichment with hydrogen in terms of hydration and water molecules clustering. The statistically significant results clearly demonstrated that EVOdrop treatment leads to a shift in the hydrogen bonds energy distribution towards larger values along with the corresponding formation of local maxima. Based on previous results, health benefits of such water treatment can be expected in the areas of malignant growth inhibition and tissue regeneration for humans.

Author Contributions

Conceptualization, I.I., T.P.P., Y.K.-K. and R.B.; methodology, I.I., N.N., I.A. and F.H.; validation, F.H. and N.V.; formal analysis, A.I.I. and S.B.; investigation, I.I., T.P.P. and R.B.; resources, M.A. and I.A.; writing—original draft preparation, I.I., F.H. and T.P.P.; writing—review and editing, R.B., N.V., Y.K.-K. and N.N.; visualization, F.H. and A.I.I. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Markovska, Y.K.; Tsonev, T.D.; Kimenov, G.P.; Tutekova, A.T. Physiological Changes in Higher Poikilohydric Plants—Haberlea rhodopensis Friv. and Ramonda Serbica Panc. during Drought and Rewatering at Different Light Regimes. J. Plant Physiol. 1994, 144, 100–108. [Google Scholar] [CrossRef]
  2. Law on Biological Diversity, Annex No. 3 to Article 38. Promulgated, State Gazette No. 77/9.08.2002. 2002, Volume 77. Available online: https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&cad=rja&uact=8&ved=2ahUKEwjOp-yo39T6AhXs-DgGHSsoAxAQFnoECAsQAQ&url=https%3A%2F%2Fwipolex-res.wipo.int%2Fedocs%2Flexdocs%2Flaws%2Fen%2Fbg%2Fbg038en.pdf&usg=AOvVaw3JZTquANLVI0QgNTUndY89 (accessed on 31 August 2022).
  3. Velchev, V. (Ed.) The Red Book of Bulgaria; Bulgarian Academy of Sciences, KOPS: Sofia, Bulgary, 1984; Volume 1. [Google Scholar]
  4. Kuroki, S.; Tsenkova, R.; Moyankova, D.; Munkan, J.; Morita, H.; Atanassova, S.; Djilianov, D. Water molecular structure underpins extreme desiccation tolerance of the resurrection plant Haberlea rhodopensis. Sci. Rep. 2019, 9, 3049. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Huether, F. Filter System. Fabio and Markus Membrane ENG GMBH. CH Patent WO2020169852A1, 3 January 2019. [Google Scholar]
  6. Huether, F. Water Purifier, Fabio and Markus Turbine ENG GMBH. CH Patent WO2020178200A1, 3 January 2019. [Google Scholar]
  7. Timilsina, A.B.; Mulligan, S.; Bajracharya, T.R. Water vortex hydropower technology: A state-of-the-art review of developmental trends. Clean Technol. Environ. Pol. 2018, 20, 1737–1760. [Google Scholar] [CrossRef]
  8. Mosin, O.V.; Ignatov, I. Basic concept of magnetic water treatment. Eur. J. Mol. Biotechnol. 2014, 4, 72–85. [Google Scholar] [CrossRef]
  9. Esmaeilnezhad, E.; Choi, H.; Schaffie, M.; Gholizadeh, M.; Ranjbar, M. Characteristics and applications of magnetized water as a green technology. J. Clean. Prod. 2017, 161, 908–921. [Google Scholar] [CrossRef]
  10. Puzowski, P.; Scocsko, I. Investigation on magnetic field usage for urban water treatment. Proceedings 2020, 51, 31. [Google Scholar]
  11. Anaeva, E.A.; Mesiats, E.A.; Sergievskii, V. Crystallization of Calcium carbonate with the filtration of aqueous solutions through a microporous membrane. Russ. J. Phys. Chem. A 2017, 91, 2121–2123. [Google Scholar] [CrossRef]
  12. Thamaraiselvan, C.; Lerman, S.; Weinfeld-Cohen, K.; Dosoretz, C.G. Characterization of a support-free carbon nanotube-microporous membrane for water and wastewater filtration. Purif. Technol. 2018, 202, 1–8. [Google Scholar] [CrossRef]
  13. Smith, J.P.; Cappa, C.D.; Wilson, K.R.; Cohen, R.C.; Geissler, P.L.; Saykally, R.J. Unified description of temperature-dependent hydrogen bond rearrangements in liquid water. Proc. Natl. Acad. Sci. USA 2005, 102, 14171–14174. [Google Scholar] [CrossRef] [Green Version]
  14. Keutsch, F.N.; Saykally, R.J. Water clusters: Untangling the mysteries of the liquid, one molecule at a time. Proc. Natl. Acad. Sci. USA 2001, 98, 10533–10540. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Fowler, P.W.; Quinn, C.M.; Redmond, D.B. Decorated fullerenes and model structures for water clusters. J. Chem. Phys. 1991, 95, 7678. [Google Scholar] [CrossRef]
  16. Gao, Y.; Fang, H.; Ni, K. A hierarchical clustering method of hydrogen bond networks in liquid water undergoing shear flow. Sci. Rep. 2021, 11, 9542. [Google Scholar] [CrossRef] [PubMed]
  17. Chaplin, M. The water molecule, liquid water, hydrogen bonds and water networks. In Water the Forgotten Biological Molecule; Bihan, D.L., Fukuyama, H., Eds.; Pan Stanford Publishing Pte. Ltd.: Singapore, 2021. [Google Scholar]
  18. Sykes, M. Simulations of RNA base pairs in a nanodroplet reveal solvation-dependent stability. Proc. Natl. Acad. Sci. USA 2007, 104, 12336–12340. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  19. Liu, K.; Cruzan, J.D.; Saykally, R.J. Water clasters. Sci. Mag. 1996, 271, 929–933. [Google Scholar]
  20. Choi, T.N.; Jordan, K.D. Application of the SCC-DFTB method to H+(H2O)6, H+(H2O)21, and H+(H2O)22. J. Phys. Chem. B 2010, 114, 6932–6936. [Google Scholar] [CrossRef]
  21. Loboda, O.; Goncharuk, V. Theoretical study on icosahedral water clusters. Chem. Phys. Lett. 2010, 484, 144–147. [Google Scholar] [CrossRef] [Green Version]
  22. Timothy, S.; Zwier, S. Chemistry: The structure of protonated water clusters. Science 2004, 304, 1119–1120. [Google Scholar]
  23. D’Angelo, P.; Zitolo, G.; Aquilanti, G.; Migliorati, V. Using a combined theoretical and experimental approach to understand the structure and dynamics of imidazolium-based ionic liquids/water mixtures. 2. EXAFS Spectroscopy. J. Phys. Chem. B 2013, 117, 12516–12524. [Google Scholar] [CrossRef]
  24. Turov, V.; Krupskaya, T.; Barvinchenko, V.; Lipkovska, M.; Kartel, M.; Suvorova, L. Peculiarities of water cluster formation on the surface of dispersed KCl: The influence of hydrophobic silica and organic media. Colloids Surf. A Physicochem. Eng. Asp. 2016, 499, 97–102. [Google Scholar] [CrossRef]
  25. Liu, K.; Fellers, R.; Viant, M.; Mclaughlin, R.; Brown, M.; Saylally, R.J. A long path length pulsed slit valve appropriate for high temperature operation: Infrared spectroscopy of jet-cooled large water clusters and nucleotide bases. Rev. Sci. Instrum. 1998, 67. [Google Scholar] [CrossRef] [Green Version]
  26. Yoshida, K.; Ishuda, S. Hydrogen bonding and clusters in supercritical methanol–water mixture by neutron diffraction with H/D substitution combined with empirical potential structure refinement modeling. Mol. Phys. 2019, 117, 3227–3310. [Google Scholar] [CrossRef]
  27. Goyal, P.; Elstner, M.; Coi, Q. Application of the SCC-DFTB method to neutral and protonated water clusters and bulk water. J. Phys. Chem. 2011, 115, 6790–6805. [Google Scholar] [CrossRef] [Green Version]
  28. Ignatov, I.; Mosin, O.V. Structural mathematical models describing water clusters. J. Math. Theory Model. 2013, 3, 72–87. [Google Scholar]
  29. Ignatov, I.; Gluhchev, G.; Neshev, N.; Mehandjiev, D. Structuring of water clusters depending on the energy of hydrogen bonds in electrochemically activated waters Anolyte and Catholyte. Bulg. Chem. Commun. 2021, 53, 234–239. [Google Scholar]
  30. Mehandjiev, D.; Ignatov, I.; Gluhchev, G.; Neshev, N.; Drossinakis, C. Hydrogen bond energies in formation of water molecule clusters. Phys. Sci. Int. J. 2021, 25, 15–20. [Google Scholar] [CrossRef]
  31. Antonov, A. Research of the Non-Equilibrium Processes in the Area in Allocated Systems. DSc Thesis, Southwest University Neofit Rilski, Blagoevgrad, Bulgaria, 1995; pp. 1–254. [Google Scholar]
  32. Todorov, S.; Damiana, A.; Sivriev, I.; Antonov, A.; Galabova, T. Water energy spectrum method and investigation of the variations of the H-bond structure of natural waters. Compt. Rend. Acad. Bulg. Sci. 2008, 61, 857–862. [Google Scholar]
  33. Gramatikov, P.; Antonov, A.; Gramatikova, M. A study of the properties and structure variations of water systems under the stimulus of outside influences. Fresenius’ J. Anal. Chem. 1992, 343, 134–135. [Google Scholar] [CrossRef]
  34. Gechev, T.; Hille, J. Hydrogen peroxide as a signal controlling plant programmed cell death. J. Cell Biol. 2005, 168, 17–20. [Google Scholar] [CrossRef] [Green Version]
  35. Bürstenbinger, K.; Möller, B.; Plötner, R.; Stamm, G.; Hause, G.; Mitra, D.; Abel, S. The IQD Family of Calmodulin-Binding Proteins Links Calcium Signaling to Microtubules, Membrane Subdomains, and the Nucleus. Plant Physiol. 2017, 173, 1692–1708. [Google Scholar] [CrossRef] [Green Version]
  36. Dinakar, C.; Djilianov, D.; Bartels, D. Photosynthesis in desiccation tolerant plants: Energy metabolism and antioxidative stress defense. Plant Sci. 2012, 182, 29–41. [Google Scholar] [CrossRef]
  37. Ignatov, I.; Gluhchev, G.; Huether, F. Dynamic nano clusters of water on EVODROP water. Phys. Sci. Int. J. 2020, 24, 47–53. [Google Scholar] [CrossRef]
  38. Ignatov, I.; Neshev, N.; Gluhchev, G.; Huether, F.; Mehandjiev, D. Research of physical alterations of water treated with turbine technology. Contemp. Eng. Sci. 2021, 14, 51–60. [Google Scholar] [CrossRef]
  39. Ignatov, I.; Neshev, N.; Popova, T.P.; Kiselova-Kaneva, Y.; Drossinakis, C.; Bankova, R.; Toshkova, R.; Gluhchev, G.; Valcheva, N.; Angelcheva, M.; et al. Theoretical Analysis of Hydrogen Bonds, Energy Distribution and Information in a 1% Rosa damascena Mill. Oil Solution. Plant Sci. Today 2022, 9, 760–765. [Google Scholar] [CrossRef]
  40. Gangadhar, R.; Jalleeli, K.A.; Ahmad, A.A. A Fourier transform infrared (FTIR) spectroscopic study on ovine. Int. J. Sci. Environ. Technol. 2015, 4, 1158–1162. [Google Scholar]
  41. Faulques, E.; Perry, D.L.; Kalashnyk, N. Vibrational spectroscopy of a crystallographically unsettled uranyl carbonate: Structural impact and model. Vib. Spectrosc. 2018, 99, 184–189. [Google Scholar] [CrossRef]
  42. Ignatov, I.; Popova, T. Applications of Moringa oleifera Lam., Urtica dioica L., Malva sylvestris L. and Plantago major L. containing Potassium for recovery. Plant Cell Biotechnol. Mol. Biol. 2021, 22, 93–103. [Google Scholar]
  43. Kostadinova, A.; Doumanov, J.; Moyankova, D.; Ivanov, S.; Mladenova, K.; Djilianov, D.; Topouzova-Hristova, T. Haberlea rhodopensis extracts affect cell periphery of keratinocytes. Compt. Rend. Acad. Bulg. Sci. 2016, 69, 439–448. [Google Scholar]
  44. Ignatov, I.; Balabanski, V.; Angelcheva, M. Application of infrared spectral analyses for medicinal plants containing Calcium (Ca2+). Plant Sci. Today 2022, 9. [Google Scholar]
  45. Bankova, R. Haberlea rodopensis—Effects and potential applications. Tradit. Mod. Vet. Med. 2022, 7, 128–138. [Google Scholar]
  46. Georgieva, K.; Dagnon, S.; Gesheva, E.; Bojilov, D.; Mihailova, G.; Doncheva, S. Antioxidant defense during desiccation of the resurrection plant Haberlea rhodopensis. Plant Physiol. Biochem. 2017, 114, 51–59. [Google Scholar] [CrossRef]
  47. Daskalova, E.; Dontcheva, S.; Yahubyan, G.; Minkov, I.; Toneva, V. Ecological characteristics and conservation of the protected resurrection species Haberlea rhodopensis Friv. as in vitro plants through a modified micropropagation system. Biotechnol. Biotechnol. Equip. 2011, 24, 213–217. [Google Scholar] [CrossRef]
  48. Georgiev, Y.N.; Ognyanov, M.H.; Denev, P.N. The ancient Thracian endemic plant Haberlea rhodopensis Friv. and related species: A review. J. Ethnopharmacol. 2020, 249, 1–16. [Google Scholar] [CrossRef] [PubMed]
  49. Todorova, R.; Radev, R.; Atanasov, A.T. Effect of Haberlea rhodopensis oral intake on healthy volunteers. Bulg. J. Vet. Med. 2017, 20, 95–99. [Google Scholar]
  50. Mihaylova, D.; Bahchevanska, S.; Toneva, V. Examination of the antioxidant activity of Haberlea rhodopensis leaf extracts and their phenolic constituents. J. Food Biochem. 2013, 37, 255–261. [Google Scholar] [CrossRef]
  51. Mihaylova, D.; Ivanova, M.; Bahchevanska, S.; Krastanov, A. Chemical composition and antioxidant activity of ultrasound-assisted extract of the endemic plant Haberlea rhodopensis Friv. J. Food Sci Technol. 2015, 52, 2469–2473. [Google Scholar] [CrossRef]
  52. Antonov, A.; Yuskesselieva, L. Method for determination of structural changes in liquids. Author’s Certif. Invent. 1983, 43821. [Google Scholar]
  53. Antonov, A. An optical method version for determination of the welling angle of liquids. Compt. Rend. Acad. Bulg. Sci. 1984, 37, 1199. [Google Scholar]
  54. Antonov, A.; Yuskesselieva, L.; Teodssieva, I. Influence of ions on the structure of water under conditions far away from equilibrium. Physiologie 1989, 26, 255–260. [Google Scholar]
  55. Mehandjiev, D.; Ignatov, I.; Neshev, N.; Huether, F.; Gluhchev, G.; Drossinakis, C. Formation of clusters in water and their distribution according to the number of water molecules. Bulg. Chem. Commun. 2022, 54, 211–216. [Google Scholar]
  56. Documents 10216/21.07.2022; No. 10217/14.07.2022 from 21.07.2022. Research of Physichochemical Indicators of EVOdrop Water According to Ordinance No. 9/2001. Official State Gazette, Issue 30, and Decree No. 178/23.07.2004 Regarding the Quality of Water Intended for Drinking and Household Purposes. Available online: https://eea.government.bg/bg/legislation/water/NAREDBA___9_ot_16.03.2001.pdf (accessed on 31 August 2022).
Figure 1. Distribution of the number of water (H2O) molecules in EVOdrop water and tap water according to the energy of hydrogen bonds.
Figure 1. Distribution of the number of water (H2O) molecules in EVOdrop water and tap water according to the energy of hydrogen bonds.
Plants 11 02655 g001
Figure 2. Haberlea rhodopensis blossom extract.
Figure 2. Haberlea rhodopensis blossom extract.
Plants 11 02655 g002
Figure 3. Flowers of Haberlea rhodopensis.
Figure 3. Flowers of Haberlea rhodopensis.
Plants 11 02655 g003
Figure 4. The EVOdrop turbine operation principle.
Figure 4. The EVOdrop turbine operation principle.
Plants 11 02655 g004
Figure 5. The EVOdrop filter.
Figure 5. The EVOdrop filter.
Plants 11 02655 g005
Figure 6. Hydrogen (H₂) concentration of EVOdrop hydrogen water (1.2 ppm). Correspondence of hydrogen concentration (ppb) of EVOdrop hydrogen water and the DC Current (Ampers).
Figure 6. Hydrogen (H₂) concentration of EVOdrop hydrogen water (1.2 ppm). Correspondence of hydrogen concentration (ppb) of EVOdrop hydrogen water and the DC Current (Ampers).
Plants 11 02655 g006
Figure 7. The EVObooster device for EVOdrop hydrogen water.
Figure 7. The EVObooster device for EVOdrop hydrogen water.
Plants 11 02655 g007
Figure 8. Operating principle of the method for measurement of wetting angle of liquid drops on a hard surface: 1—drop, 2—thin maylar foil, 3—glass plate, 4—refraction ring width. The wetting angle θ is a function of a and d1.
Figure 8. Operating principle of the method for measurement of wetting angle of liquid drops on a hard surface: 1—drop, 2—thin maylar foil, 3—glass plate, 4—refraction ring width. The wetting angle θ is a function of a and d1.
Plants 11 02655 g008
Table 1. Distribution of the number of water (H2O) molecules in a 1% solution of Haberlea rhodopensis Friv. blossom extract in EVOdrop-filtered tap water saturated with Hydrogen (H2) and in the control sample of tap water from Sofia, Bulgaria according to the energy of hydrogen bonds.
Table 1. Distribution of the number of water (H2O) molecules in a 1% solution of Haberlea rhodopensis Friv. blossom extract in EVOdrop-filtered tap water saturated with Hydrogen (H2) and in the control sample of tap water from Sofia, Bulgaria according to the energy of hydrogen bonds.
−E(eV)
x-Axis
Number of Water Molecules−E(eV)
x-Axis
Number of Water Molecules
1% Solution
H. rhodopensis
(Sample)
1% Solution
H. rhodopensis
(Control Sample)
1% Solution
H. rhodopensis
(Sample)
1% Solution
H. rhodopensis
(Control Sample)
0.0912220.116206
0.0937450.118748
0.0962270.12129 24 2
0.0987450.123754
0.1012630.126246
0.1037380.128746
0.1062540.131264
0.1087660.133767
0.111215 13 10.136265
0.1137150.13878 32 3
Notes: 1 1E = −0.1112 eV or (λ = 11.3 μm; ṽ = 887 cm−1) is the local extremum for calcium conductivity. 2 1E = −0.1212 eV or (λ = 10.23 μm; ṽ = 978 cm−1) is the local extremum for anti-inflammatory effects. 3 1E = −0.1387 eV or (λ = 8.95 μm; ṽ = 1119 cm−1) is the local extremum for inhibition of development of tumor cells.
Table 2. Chemical composition of H. rhodopensis oil.
Table 2. Chemical composition of H. rhodopensis oil.
Compoundsμg·g−1 DW
flavonoids
Luteolin2730.18
Hesperidin928.56
Kaempferol578.52
Phenolic Acids
Ferulic acid630.48
Sinapic acid580.80
Table 3. Physicochemical parameters of the tap water from Germany before and after filtration with EVOdrop device.
Table 3. Physicochemical parameters of the tap water from Germany before and after filtration with EVOdrop device.
Controlled ParameterMeasuring UnitMaximum Limit ValueBefore EVOdropAfter EVOdrop
1. pHpH values≥6.5 and ≤9.56.73 ± 0.118.88 ± 0.11
2. Total hardnessmgekv·L−1121.76 ± 0.50.98 ± 0.24
3. Calcium (Ca2+)mg·L−115012.7 ± 1.312.7 ± 1.3
4. Magnesium (Mg2+)mg·L−18021.2 ± 2.14.2 ± 0.4
5. Hydrocarbonates (HCO3)mg·L−1-27.5 ± 2.8<24.4
6. Carbonates (CO32−)mg·L−1-<12<12
7. Sodium (Na+)mg·L−12005.7 ± 0.95.7 ± 0.9
8. Potasium (K+)mg·L−1-1.7 ± 0.21.6 ± 0.2
9. Manganeseµg·L−1503.8 ± 0.43.6 ± 0.4
10. Zincmg·L−140.074 ± 0.070.02 ± 0.002
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Ignatov, I.; Huether, F.; Neshev, N.; Kiselova-Kaneva, Y.; Popova, T.P.; Bankova, R.; Valcheva, N.; Ignatov, A.I.; Angelcheva, M.; Angushev, I.; et al. Research of Water Molecules Cluster Structuring during Haberlea rhodopensis Friv. Hydration. Plants 2022, 11, 2655. https://0-doi-org.brum.beds.ac.uk/10.3390/plants11192655

AMA Style

Ignatov I, Huether F, Neshev N, Kiselova-Kaneva Y, Popova TP, Bankova R, Valcheva N, Ignatov AI, Angelcheva M, Angushev I, et al. Research of Water Molecules Cluster Structuring during Haberlea rhodopensis Friv. Hydration. Plants. 2022; 11(19):2655. https://0-doi-org.brum.beds.ac.uk/10.3390/plants11192655

Chicago/Turabian Style

Ignatov, Ignat, Fabio Huether, Nikolai Neshev, Yoana Kiselova-Kaneva, Teodora P. Popova, Ralitsa Bankova, Nedyalka Valcheva, Alexander I. Ignatov, Mariana Angelcheva, Ivan Angushev, and et al. 2022. "Research of Water Molecules Cluster Structuring during Haberlea rhodopensis Friv. Hydration" Plants 11, no. 19: 2655. https://0-doi-org.brum.beds.ac.uk/10.3390/plants11192655

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop