61 research outputs found
Branch cuts of Stokes wave on deep water. Part I: Numerical solution and Pad\'e approximation
Complex analytical structure of Stokes wave for two-dimensional potential
flow of the ideal incompressible fluid with free surface and infinite depth is
analyzed. Stokes wave is the fully nonlinear periodic gravity wave propagating
with the constant velocity. Simulations with the quadruple and variable
precisions are performed to find Stokes wave with high accuracy and study the
Stokes wave approaching its limiting form with radians angle on the
crest. A conformal map is used which maps a free fluid surface of Stokes wave
into the real line with fluid domain mapped into the lower complex half-plane.
The Stokes wave is fully characterized by the complex singularities in the
upper complex half-plane. These singularities are addressed by rational
(Pad\'e) interpolation of Stokes wave in the complex plane. Convergence of
Pad\'e approximation to the density of complex poles with the increase of the
numerical precision and subsequent increase of the number of approximating
poles reveals that the only singularities of Stokes wave are branch points
connected by branch cuts. The converging densities are the jumps across the
branch cuts. There is one branch cut per horizontal spatial period of
Stokes wave. Each branch cut extends strictly vertically above the
corresponding crest of Stokes wave up to complex infinity. The lower end of
branch cut is the square-root branch point located at the distance from
the real line corresponding to the fluid surface in conformal variables. The
limiting Stokes wave emerges as the singularity reaches the fluid surface.
Tables of Pad\'e approximation for Stokes waves of different heights are
provided. These tables allow to recover the Stokes wave with the relative
accuracy of at least . The tables use from several poles to about
hundred poles for highly nonlinear Stokes wave with Comment: 38 pages, 9 figures, 4 tables, supplementary material
Direct Probing of Vibrational Interactions in UiO-66 Polycrystalline Membranes with Femtosecond Two-Dimensional Infrared Spectroscopy
[Image: see text] UiO-66 is a benchmark metalβorganic framework that holds great promise for the design of new functional materials. In this work, we perform two-dimensional infrared measurements on polycrystalline membranes of UiO-66 grown on c-sapphire substrates. We study the symmetric and antisymmetric stretch vibrations of the carboxylate groups of the terephthalate linker ions and find that these vibrations show a rapid energy exchange and a collective vibrational relaxation with a time constant of 1.3 ps. We also find that the symmetric vibration of the carboxylate group is strongly coupled to a vibration of the aromatic ring of the terephthalate ion. We observe that the antisymmetric carboxylate vibrations of different terephthalate linkers show rapid resonant (FΓΆrster) energy transfer with a time constant of βΌ1 ps
Coexistence of Weak and Strong Wave Turbulence in a Swell Propagation
By performing two parallel numerical experiments -- solving the dynamical
Hamiltonian equations and solving the Hasselmann kinetic equation -- we
examined the applicability of the theory of weak turbulence to the description
of the time evolution of an ensemble of free surface waves (a swell) on deep
water. We observed qualitative coincidence of the results.
To achieve quantitative coincidence, we augmented the kinetic equation by an
empirical dissipation term modelling the strongly nonlinear process of
white-capping. Fitting the two experiments, we determined the dissipation
function due to wave breaking and found that it depends very sharply on the
parameter of nonlinearity (the surface steepness). The onset of white-capping
can be compared to a second-order phase transition. This result corroborates
with experimental observations by Banner, Babanin, Young.Comment: 5 pages, 5 figures, Submitted in Phys. Rev. Letter
Π₯Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠ° ΡΠ΄ΠΈΠ»ΡΠ±Π°Π΅Π²ΡΠΊΠΎΠΉ ΠΏΠΎΡΠΎΠ΄Ρ ΠΎΠ²Π΅Ρ Π Π΅ΡΠΏΡΠ±Π»ΠΈΠΊΠΈ ΠΠ°Π·Π°Ρ ΡΡΠ°Π½
The article analyses material from sheep domestication to the present state. Data on the worldβs leading countries, where sheep breeding is most intensively developed, are given. The largest sheep populations are concentrated in China, Australia, India and Sudan. There are 995 registered local sheep breeds, of which 100 are international cross-border sheep breeds. Many species are continually becoming extinct. Therefore, the problem of preserving the unique gene pool of aboriginal breeds is acute in many countries. More than 20 breeds of sheep are bred in Kazakhstan. Over the last ten years, the number of sheep in the Republic has been between 18.0-20.0 million. The most widespread sheep breeds are Edilbay, Kazakh Arkharmerinos and Kazakh Kurdish coarse-wool sheep. Sheep of the Edilbay breed are bred in 10 regions of Kazakhstan. Edilbay breed is adapted to breeding in areas of dry steppes, semi-desert and desert regions. The article gives a brief zootechnical characteristic of Edilbay sheep and describes the epizootic situation in the Republic of Kazakhstan. Particular attention is paid to changing the breeding strategy. In further breeding and pedigree work, the aim is to create a sheep population with reduced fat content. A plan has been outlined for comprehensive studies of the sheep gene pool and phenofund, including evaluating protein, carbohydrate, fat and mineral metabolism, chemical, physiological, cytogenetic, molecular-genetic, and other research methods. Water, soil, and feed will be monitored for heavy metals and macronutrients during the experimental work.ΠΡΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Ρ ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ ΠΎΡ ΠΌΠΎΠΌΠ΅Π½ΡΠ° ΠΎΠ΄ΠΎΠΌΠ°ΡΠ½ΠΈΠ²Π°Π½ΠΈΡ ΠΎΠ²Π΅Ρ Π΄ΠΎ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΠ³ΠΎ ΡΠΎΡΡΠΎΡΠ½ΠΈΡ ΠΎΠ²ΡΠ΅Π²ΠΎΠ΄ΡΡΠ²Π°. ΠΡΠΈΠ²Π΅Π΄Π΅Π½Ρ Π΄Π°Π½Π½ΡΠ΅ ΠΎ Π²Π΅Π΄ΡΡΠΈΡ
ΡΡΡΠ°Π½Π°Ρ
ΠΌΠΈΡΠ°, Π³Π΄Π΅ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΠΈΠ½ΡΠ΅Π½ΡΠΈΠ²Π½ΠΎ ΡΠ°Π·Π²ΠΈΠ²Π°Π΅ΡΡΡ ΠΎΠ²ΡΠ΅Π²ΠΎΠ΄ΡΡΠ²ΠΎ. ΠΠ°ΠΈΠ±ΠΎΠ»ΡΡΠ΅Π΅ ΠΏΠΎΠ³ΠΎΠ»ΠΎΠ²ΡΠ΅ ΠΎΠ²Π΅Ρ ΡΠΎΡΡΠ΅Π΄ΠΎΡΠΎΡΠ΅Π½ΠΎ Π² ΠΠΈΡΠ°Π΅, ΠΠ²ΡΡΡΠ°Π»ΠΈΠΈ, ΠΠ½Π΄ΠΈΠΈ ΠΈ Π‘ΡΠ΄Π°Π½Π΅. ΠΠ°ΡΠ΅Π³ΠΈΡΡΡΠΈΡΠΎΠ²Π°Π½ΠΎ 995 ΠΌΠ΅ΡΡΠ½ΡΡ
ΠΏΠΎΡΠΎΠ΄ ΠΎΠ²Π΅Ρ, ΠΈΠ· ΠΊΠΎΡΠΎΡΡΡ
100 ΠΎΡΠ½ΠΎΡΡΡΡΡ ΠΊ ΠΌΠ΅ΠΆΠ΄ΡΠ½Π°ΡΠΎΠ΄Π½ΡΠΌ ΡΡΠ°Π½ΡΠ³ΡΠ°Π½ΠΈΡΠ½ΡΠΌ. ΠΠΎΡΡΠΎΡΠ½Π½ΠΎ ΠΏΡΠΎΠΈΡΡ
ΠΎΠ΄ΠΈΡ ΠΈΡΡΠ΅Π·Π½ΠΎΠ²Π΅Π½ΠΈΠ΅ ΠΌΠ½ΠΎΠ³ΠΈΡ
ΠΏΠΎΡΠΎΠ΄. ΠΠΎΡΡΠΎΠΌΡ Π²ΠΎ ΠΌΠ½ΠΎΠ³ΠΈΡ
ΡΡΡΠ°Π½Π°Ρ
ΠΎΡΡΡΠΎ ΡΡΠΎΠΈΡ ΠΏΡΠΎΠ±Π»Π΅ΠΌΠ° ΡΠΎΡ
ΡΠ°Π½Π΅Π½ΠΈΡ ΡΠ½ΠΈΠΊΠ°Π»ΡΠ½ΠΎΠ³ΠΎ Π³Π΅Π½ΠΎΡΠΎΠ½Π΄Π° Π°Π±ΠΎΡΠΈΠ³Π΅Π½Π½ΡΡ
ΠΏΠΎΡΠΎΠ΄. Π ΠΠ°Π·Π°Ρ
ΡΡΠ°Π½Π΅ ΡΠ°Π·Π²ΠΎΠ΄ΡΡ Π±ΠΎΠ»Π΅Π΅ 20 ΠΏΠΎΡΠΎΠ΄ ΠΎΠ²Π΅Ρ. ΠΠ° ΠΏΠΎΡΠ»Π΅Π΄Π½ΠΈΠ΅ 10 Π»Π΅Ρ ΡΠΈΡΠ»Π΅Π½Π½ΠΎΡΡΡ ΠΎΠ²Π΅Ρ Π² ΡΠ΅ΡΠΏΡΠ±Π»ΠΈΠΊΠ΅ Π½Π°Ρ
ΠΎΠ΄ΠΈΠ»Π°ΡΡ Π² ΠΏΡΠ΅Π΄Π΅Π»Π°Ρ
18,0β20,0 ΠΌΠ»Π½ Π³ΠΎΠ»ΠΎΠ². ΠΠ°ΠΈΠ±ΠΎΠ»ΡΡΠ΅Π΅ ΡΠ°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½ΠΈΠ΅ ΠΏΠΎΠ»ΡΡΠΈΠ»ΠΈ ΡΠ°ΠΊΠΈΠ΅ ΠΏΠΎΡΠΎΠ΄Ρ ΠΎΠ²Π΅Ρ, ΠΊΠ°ΠΊ ΡΠ΄ΠΈΠ»ΡΠ±Π°Π΅Π²ΡΠΊΠ°Ρ, ΠΊΠ°Π·Π°Ρ
ΡΠΊΠΈΠΉ Π°ΡΡ
Π°ΡΠΎΠΌΠ΅ΡΠΈΠ½ΠΎΡ ΠΈ ΠΊΠ°Π·Π°Ρ
ΡΠΊΠ°Ρ ΠΊΡΡΠ΄ΡΡΠ½Π°Ρ Π³ΡΡΠ±ΠΎΡΠ΅ΡΡΡΠ½Π°Ρ. ΠΠ²Π΅Ρ ΡΠ΄ΠΈΠ»ΡΠ±Π°Π΅Π²ΡΠΊΠΎΠΉ ΠΏΠΎΡΠΎΠ΄Ρ Π² Π Π΅ΡΠΏΡΠ±Π»ΠΈΠΊΠ΅ ΠΠ°Π·Π°Ρ
ΡΡΠ°Π½ ΡΠ°Π·Π²ΠΎΠ΄ΡΡ Π² 10 ΠΎΠ±Π»Π°ΡΡΡΡ
. ΠΠ΄ΠΈΠ»ΡΠ±Π°Π΅Π²ΡΠΊΠ°Ρ ΠΏΠΎΡΠΎΠ΄Π° ΠΏΡΠΈΡΠΏΠΎΡΠΎΠ±Π»Π΅Π½Π° ΠΊ ΡΠ°Π·Π²Π΅Π΄Π΅Π½ΠΈΡ Π² Π·ΠΎΠ½Π°Ρ
ΡΡΡ
ΠΈΡ
ΡΡΠ΅ΠΏΠ΅ΠΉ, ΠΏΠΎΠ»ΡΠΏΡΡΡΡΠ½Π½ΡΡ
ΠΈ ΠΏΡΡΡΡΠ½Π½ΡΡ
ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ². Π ΡΡΠ°ΡΡΠ΅ Π΄Π°Π½Π° ΠΊΡΠ°ΡΠΊΠ°Ρ Π·ΠΎΠΎΡΠ΅Ρ
Π½ΠΈΡΠ΅ΡΠΊΠ°Ρ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠ° ΡΠ΄ΠΈΠ»ΡΠ±Π°Π΅Π²ΡΠΊΠΈΡ
ΠΎΠ²Π΅Ρ, ΠΎΠΏΠΈΡΠ°Π½Π° ΡΠΏΠΈΠ·ΠΎΠΎΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΠΎΠ±ΡΡΠ°Π½ΠΎΠ²ΠΊΠ° Π² Π Π΅ΡΠΏΡΠ±Π»ΠΈΠΊΠ΅ ΠΠ°Π·Π°Ρ
ΡΡΠ°Π½. ΠΡΠΎΠ±ΠΎΠ΅ Π²Π½ΠΈΠΌΠ°Π½ΠΈΠ΅ ΡΠ΄Π΅Π»Π΅Π½ΠΎ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΡ ΡΡΡΠ°ΡΠ΅Π³ΠΈΠΈ ΡΠ΅Π»Π΅ΠΊΡΠΈΠΈ. Π Π΄Π°Π»ΡΠ½Π΅ΠΉΡΠ΅ΠΉ ΡΠ΅Π»Π΅ΠΊΡΠΈΠΎΠ½Π½ΠΎ-ΠΏΠ»Π΅ΠΌΠ΅Π½Π½ΠΎΠΉ ΡΠ°Π±ΠΎΡΠ΅ ΠΏΠΎΡΡΠ°Π²Π»Π΅Π½Π° Π·Π°Π΄Π°ΡΠ° ΡΠΎΠ·Π΄Π°Π½ΠΈΡ ΠΏΠΎΠΏΡΠ»ΡΡΠΈΠΈ ΠΎΠ²Π΅Ρ Ρ ΡΠΌΠ΅Π½ΡΡΠ΅Π½Π½ΡΠΌ ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΠ΅ΠΌ ΠΆΠΈΡΠ°. ΠΠ°ΠΌΠ΅ΡΠ΅Π½ ΠΏΠ»Π°Π½ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ½ΡΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ Π³Π΅Π½ΠΎΡΠΎΠ½Π΄Π° ΠΈ ΡΠ΅Π½ΠΎΡΠΎΠ½Π΄Π° ΠΎΠ²Π΅Ρ, Π²ΠΊΠ»ΡΡΠ°ΡΡΠΈΠΉ ΠΎΡΠ΅Π½ΠΊΡ Π±Π΅Π»ΠΊΠΎΠ²ΠΎΠ³ΠΎ, ΡΠ³Π»Π΅Π²ΠΎΠ΄Π½ΠΎΠ³ΠΎ, ΠΆΠΈΡΠΎΠ²ΠΎΠ³ΠΎ ΠΈ ΠΌΠΈΠ½Π΅ΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΎΠ±ΠΌΠ΅Π½ΠΎΠ², ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ Ρ
ΠΈΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
, ΡΠΈΠ·ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
, ΡΠΈΡΠΎΠ³Π΅Π½Π΅ΡΠΈΡΠ΅ΡΠΊΠΈΡ
, ΠΌΠΎΠ»Π΅ΠΊΡΠ»ΡΡΠ½ΠΎ-Π³Π΅Π½Π΅ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈ Π΄ΡΡΠ³ΠΈΡ
ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ. ΠΠΎ Π²ΡΠ΅ΠΌΡ ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ°Π»ΡΠ½ΠΎΠΉ ΡΠ°Π±ΠΎΡΡ Π½Π°ΠΌΠΈ Π±ΡΠ΄Π΅Ρ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ ΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³ Π²ΠΎΠ΄Ρ, ΠΏΠΎΡΠ²Ρ ΠΈ ΠΊΠΎΡΠΌΠΎΠ² Π½Π° ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΠ΅ ΡΡΠΆΠ΅Π»ΡΡ
ΠΌΠ΅ΡΠ°Π»Π»ΠΎΠ² ΠΈ ΠΌΠ°ΠΊΡΠΎΡΠ»Π΅ΠΌΠ΅Π½ΡΠΎΠ²
ΠΠΊΠΊΡΠΌΡΠ»ΡΡΠΈΡ ΡΠΈΠ½ΠΊΠ° ΠΈ ΠΌΠ΅Π΄ΠΈ Π² ΡΠ΅ΡΡΠ΅ ΡΡΠ΄Π°ΠΊΠ° ΠΠΎΠ²ΠΎΡΠΈΠ±ΠΈΡΡΠΊΠΎΠ³ΠΎ Π²ΠΎΠ΄ΠΎΡ ΡΠ°Π½ΠΈΠ»ΠΈΡΠ°
One of the most important environmental issues is the pollution of water basins with chemicals, in particular with heavy metals, which do not dissolve in water, and pass through the food chain into the body of aquatic organisms, and then the final consumer, humans. The features of the content of copper and zinc, their variability in the scales of pike perch (Sander lucioperca) of the Novosibirsk reservoir were studied. 33 samples of scales were taken for analysis. The concentration of the studied metals was measured applying the atomic emission spectral method with inductively coupled plasma on an iCAP-6500 spectrometer from Thermo Scientific. A high phenotypic variability in the concentration of copper and zinc in pike perch scales was found. It was revealed that the concentration of copper in the scales of the pike perch of the Novosibirsk reservoir is 1.8 times lower than in the muscles, and the content of zinc is 4.8 times higher. The extreme ratio for copper was 1:24, for zinc 1:6. The content of zinc and copper was in a ratio of 48:1. The average population values of the concentration level of copper (1.69 mg / kg) and zinc (93.3 mg / kg) in the scales of the pike perch of the Novosibirsk reservoir were established. A high level of positive correlation (r = 0.859) was revealed between essential elements. The obtained data on the level of copper and zinc concentration in scales can be used as reference values. The distribution of heavy metals in zander scales is uneven. Expansion of parameters for assessing living organisms by chemical composition enables to assess more accurately the interior of animals. The data obtained can be used for intravital assessment of the interior of zander and in environmental studies. There is a tendency towards an increase in the level of heavy metals in the water body of the Novosibirsk Reservoir.ΠΠ΄Π½Π° ΠΈΠ· Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ Π²Π°ΠΆΠ½ΡΡ
ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
ΠΏΡΠΎΠ±Π»Π΅ΠΌ ΡΠΊΠΎΠ»ΠΎΠ³ΠΈΠΈ β Π·Π°Π³ΡΡΠ·Π½Π΅Π½ΠΈΠ΅ Π²ΠΎΠ΄ΠΎΠ΅ΠΌΠΎΠ² Ρ
ΠΈΠΌΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ ΡΠΎΠ΅Π΄ΠΈΠ½Π΅Π½ΠΈΡΠΌΠΈ, Π² ΡΠ°ΡΡΠ½ΠΎΡΡΠΈ ΡΡΠΆΠ΅Π»ΡΠΌΠΈ ΠΌΠ΅ΡΠ°Π»Π»Π°ΠΌΠΈ, ΠΊΠΎΡΠΎΡΡΠ΅ Π½Π΅ ΡΠ°ΡΡΠ²ΠΎΡΡΡΡΡΡ Π² Π²ΠΎΠ΄Π΅ ΠΈ ΠΏΠΎ ΡΠ΅ΠΏΠΈ ΠΏΠΈΡΠ°Π½ΠΈΡ ΠΏΠ΅ΡΠ΅Ρ
ΠΎΠ΄ΡΡ Π² ΠΎΡΠ³Π°Π½ΠΈΠ·ΠΌ Π³ΠΈΠ΄ΡΠΎΠ±ΠΈΠΎΠ½ΡΠΎΠ², Π° Π·Π°ΡΠ΅ΠΌ ΠΊΠΎΠ½Π΅ΡΠ½ΠΎΠ³ΠΎ ΠΏΠΎΡΡΠ΅Π±ΠΈΡΠ΅Π»Ρ β ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΠ°. ΠΠ·ΡΡΠ΅Π½Ρ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠΈ ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΡ ΠΌΠ΅Π΄ΠΈ ΠΈ ΡΠΈΠ½ΠΊΠ°, ΠΈΡ
ΠΈΠ·ΠΌΠ΅Π½ΡΠΈΠ²ΠΎΡΡΡ Π² ΡΠ΅ΡΡΠ΅ ΡΡΠ΄Π°ΠΊΠ° (Sander lucioperca) ΠΠΎΠ²ΠΎΡΠΈΠ±ΠΈΡΡΠΊΠΎΠ³ΠΎ Π²ΠΎΠ΄ΠΎΡ
ΡΠ°Π½ΠΈΠ»ΠΈΡΠ°. ΠΠ»Ρ Π°Π½Π°Π»ΠΈΠ·Π° Π±ΡΠ»ΠΎ ΠΎΡΠΎΠ±ΡΠ°Π½ΠΎ 33 ΠΏΡΠΎΠ±Ρ ΡΠ΅ΡΡΠΈ. ΠΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΡ ΠΈΡΡΠ»Π΅Π΄ΡΠ΅ΠΌΡΡ
ΠΌΠ΅ΡΠ°Π»Π»ΠΎΠ² Π±ΡΠ»Π° ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π° Ρ ΠΏΠΎΠΌΠΎΡΡΡ Π°ΡΠΎΠΌΠ½ΠΎ-ΡΠΌΠΈΡΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΡΠΏΠ΅ΠΊΡΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΌΠ΅ΡΠΎΠ΄Π° Ρ ΠΈΠ½Π΄ΡΠΊΡΠΈΠ²Π½ΠΎ-ΡΠ²ΡΠ·Π°Π½Π½ΠΎΠΉ ΠΏΠ»Π°Π·ΠΌΠΎΠΉ Π½Π° ΡΠΏΠ΅ΠΊΡΡΠΎΠΌΠ΅ΡΠ΅ iCAP-6500 ΡΠΈΡΠΌΡ Thermo Scientific. Π£ΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½Π° Π²ΡΡΠΎΠΊΠ°Ρ ΡΠ΅Π½ΠΎΡΠΈΠΏΠΈΡΠ΅ΡΠΊΠ°Ρ ΠΈΠ·ΠΌΠ΅Π½ΡΠΈΠ²ΠΎΡΡΡ ΠΊΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΠΈ ΠΌΠ΅Π΄ΠΈ ΠΈ ΡΠΈΠ½ΠΊΠ° Π² ΡΠ΅ΡΡΠ΅ ΡΡΠ΄Π°ΠΊΠ°. ΠΡΡΠ²Π»Π΅Π½ΠΎ, ΡΡΠΎ Π² ΡΠ΅ΡΡΠ΅ ΡΡΠ΄Π°ΠΊΠ° ΠΠΎΠ²ΠΎΡΠΈΠ±ΠΈΡΡΠΊΠΎΠ³ΠΎ Π²ΠΎΠ΄ΠΎΡ
ΡΠ°Π½ΠΈΠ»ΠΈΡΠ° ΠΊΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΡ ΠΌΠ΅Π΄ΠΈ Π½ΠΈΠΆΠ΅, ΡΠ΅ΠΌ Π² ΠΌΡΡΡΠ°Ρ
, Π² 1,8 ΡΠ°Π·Π°, Π° ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΠ΅ ΡΠΈΠ½ΠΊΠ° Π±ΠΎΠ»ΡΡΠ΅ Π² 4,8 ΡΠ°Π·Π°. ΠΡΠ½ΠΎΡΠ΅Π½ΠΈΠ΅ ΠΊΡΠ°ΠΉΠ½ΠΈΡ
Π²Π°ΡΠΈΠ°Π½Ρ Π΄Π»Ρ ΠΌΠ΅Π΄ΠΈ ΡΠΎΡΡΠ°Π²ΠΈΠ»ΠΎ 1 : 24, Π΄Π»Ρ ΡΠΈΠ½ΠΊΠ° 1 : 6. Π‘ΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΠ΅ ΡΠΈΠ½ΠΊΠ° ΠΈ ΠΌΠ΅Π΄ΠΈ Π½Π°Ρ
ΠΎΠ΄ΠΈΠ»ΠΎΡΡ Π² ΡΠΎΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΠΈ 48 : 1. Π£ΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½Ρ ΡΡΠ΅Π΄Π½ΠΈΠ΅ ΠΏΠΎΠΏΡΠ»ΡΡΠΈΠΎΠ½Π½ΡΠ΅ Π·Π½Π°ΡΠ΅Π½ΠΈΡ ΡΡΠΎΠ²Π½Ρ ΠΊΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΠΈ ΠΌΠ΅Π΄ΠΈ (1,69 ΠΌΠ³/ΠΊΠ³) ΠΈ ΡΠΈΠ½ΠΊΠ° (93,3 ΠΌΠ³/ΠΊΠ³) Π² ΡΠ΅ΡΡΠ΅ ΡΡΠ΄Π°ΠΊΠ° ΠΠΎΠ²ΠΎΡΠΈΠ±ΠΈΡΡΠΊΠΎΠ³ΠΎ Π²ΠΎΠ΄ΠΎΡ
ΡΠ°Π½ΠΈΠ»ΠΈΡΠ°. ΠΡΡΠ²Π»Π΅Π½ Π²ΡΡΠΎΠΊΠΈΠΉ ΡΡΠΎΠ²Π΅Π½Ρ ΠΏΠΎΠ»oΠΆΠΈΡΠ΅Π»ΡΠ½ΠΎΠΉ ΠΊΠΎΡΡΠ΅Π»ΡΡΠΈΠΈ (r = 0,859) ΠΌΠ΅ΠΆΠ΄Ρ ΡΡΡΠ΅Π½ΡΠΈΠ°Π»ΡΠ½ΡΠΌΠΈ ΡΠ»Π΅ΠΌΠ΅Π½ΡΠ°ΠΌΠΈ. ΠΠΎΠ»ΡΡΠ΅Π½Π½ΡΠ΅ Π΄Π°Π½Π½ΡΠ΅ ΡΡΠΎΠ²Π½Ρ ΠΊΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΠΈ ΠΌΠ΅Π΄ΠΈ ΠΈ ΡΠΈΠ½ΠΊΠ° Π² ΡΠ΅ΡΡΠ΅ ΠΌΠΎΠΆΠ½ΠΎ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΡ Π² ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΡΠ΅ΡΠ΅ΡΠ΅Π½ΡΠ½ΡΡ
Π·Π½Π°ΡΠ΅Π½ΠΈΠΉ. Π Π°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ ΡΡΠΆΠ΅Π»ΡΡ
ΠΌΠ΅ΡΠ°Π»Π»ΠΎΠ² Π² ΡΠ΅ΡΡΠ΅ ΡΡΠ΄Π°ΠΊΠ° Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΡΠ΅ΡΡΡ Π½Π΅ΡΠ°Π²Π½ΠΎΠΌΠ΅ΡΠ½ΠΎΡΡΡΡ. Π Π°ΡΡΠΈΡΠ΅Π½ΠΈΠ΅ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² ΠΎΡΠ΅Π½ΠΊΠΈ ΠΆΠΈΠ²ΡΡ
ΠΎΡΠ³Π°Π½ΠΈΠ·ΠΌΠΎΠ² ΠΏΠΎ Ρ
ΠΈΠΌΠΈΡΠ΅ΡΠΊΠΎΠΌΡ ΡΠΎΡΡΠ°Π²Ρ Π΄Π°Π΅Ρ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΡ Π±ΠΎΠ»Π΅Π΅ ΡΠΎΡΠ½ΠΎ ΠΎΡΠ΅Π½ΠΈΡΡ ΠΈΠ½ΡΠ΅ΡΡΠ΅Ρ ΠΆΠΈΠ²ΠΎΡΠ½ΡΡ
. ΠΠΎΠ»ΡΡΠ΅Π½Π½ΡΠ΅ Π΄Π°Π½Π½ΡΠ΅ ΠΌΠΎΠΆΠ½ΠΎ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΡ Π΄Π»Ρ ΠΏΡΠΈΠΆΠΈΠ·Π½Π΅Π½Π½ΠΎΠΉ ΠΎΡΠ΅Π½ΠΊΠΈ ΠΈΠ½ΡΠ΅ΡΡΠ΅ΡΠ° ΡΡΠ΄Π°ΠΊΠ° ΠΈ Π² ΡΠΊΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡΡ
. ΠΡΠΌΠ΅ΡΠ°Π΅ΡΡΡ ΡΠ΅Π½Π΄Π΅Π½ΡΠΈΡ ΠΊ Π²ΠΎΠ·ΡΠ°ΡΡΠ°Π½ΠΈΡ ΡΡΠΎΠ²Π½Ρ ΡΡΠΆΠ΅Π»ΡΡ
ΠΌΠ΅ΡΠ°Π»Π»ΠΎΠ² Π² Π²ΠΎΠ΄ΠΎΠ΅ΠΌΠ΅ ΠΠΎΠ²ΠΎΡΠΈΠ±ΠΈΡΡΠΊΠΎΠ³ΠΎ Π²ΠΎΠ΄ΠΎΡ
ΡΠ°Π½ΠΈΠ»ΠΈΡΠ°
Π‘Π²ΡΠ·Ρ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠ² Π½Π΅ΠΉΡΠΎΠΏΡΠΈΡ ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠ΅ΡΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΈ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ ΡΠ΅Π³ΠΈΠΎΠ½Π°ΡΠ½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³ΠΎΠ²ΠΎΠ³ΠΎ ΠΊΡΠΎΠ²ΠΎΡΠΎΠΊΠ° ΠΏΠΎ Π΄Π°Π½Π½ΡΠΌ ΠΠ€ΠΠΠ’ Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² ΠΊΠ°ΡΠ΄ΠΈΠΎΡ ΠΈΡΡΡΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΡΠΎΡΠΈΠ»Ρ
The article provides new data on the association between changes in regional cerebral blood flow during SPECT and cognitive impairment in patients who underwent coronary artery bypass grafting and combined carotid endarterectomy and coronary artery bypass grafting with cardiopulmonary bypass. The possibilities of using SPECT as a diagnostic tool in localization of areas with a similar association, in assessing the dynamics in brain perfusion and cognitive functions in the pre- and postoperative period are shown.Aim. To determine the presence of an association between the indicators of regional cerebral blood flow according to single-photon emission computed tomography (SPECT) data and the data of neuropsychological testing in cardiac surgery patients.Methods. We studied the parameters of regional cerebral blood flow (rCBF) and the data of neuropsychological testing in 34 cardiac surgical patients who underwent coronary artery bypass grafting (CABG, n = 13) and combined carotid endarterectomy and CABG (n = 21). The state of the brain was assessed by SPECT using a radiopharmaceutical 99mTc-HMPAO (Ceretek). Assessment of cognitive functions before surgery, 2β3 days before, and in the early postoperative period, on days 5β7, was carried out using a hardware-software complex Status-PF.Results. A statistically significant relationship was found between the indices of rCBF according to neuropsychological testing data in the pre- and postoperative period. We noted a moderate correlation with the Beck Depression Scale indicators in the 1st (p = 0.010943) and 2nd (p = 0.000604) groups before surgery. There was a high correlation with visual-motor response time (VMR) before (p = 0.003878) and after the procedure (p = 0.001251), a moderate correlation with the number of errors (VMR) before the procedure (p = 0.042911) and a high correlation after the procedure (p = 0.003521) in the 1st group; in the 2nd group, there was a moderate correlation before (p = 0.004625) and after the procedure (p = 0 .005689). A moderate correlation with the indicators of attention after the procedure (p = 0.049611) was noted in the 1st group, in the 2nd group, we noted a moderate correlation before (p = 0.021969) and after the procedure (p = 0.008905). In the 2nd group there was a moderate correlation with the number of processed symbols (the Bourdon test) during the 1st minute before the procedure (p = 0.016491), a high correlation after the procedure (p = 0.007920), and a high correlation with the number of processed symbols during the 4th minute before the procedure (p = 0.001473). There was a moderate correlation with a total with number of processed symbols in the 2nd group before (p = 0.029073) and after the procedure (p = 0.024164), and a high correlation with the number of errors made after the procedure in the 1st (p = 0.006367) and 2nd (p = 0.013780) groups. A high correlation with indicators of attention after surgery (p = 0.000153) was noted as well.Β Conclusion. The indicators of regional cerebral blood flow obtained by SPECT in patients undergoing isolated CABG and combined CAE and CABG were associated with the data of neuropsychological testing and reflect changes in the cognitive status of patients.Π ΡΠ°Π±ΠΎΡΠ΅ ΠΏΠΎΠ»ΡΡΠ΅Π½Ρ Π½ΠΎΠ²ΡΠ΅ ΡΠ²Π΅Π΄Π΅Π½ΠΈΡ ΠΎ ΡΠ²ΡΠ·ΠΈ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³ΠΎΠ²ΠΎΠ³ΠΎ ΠΊΡΠΎΠ²ΠΎΡΠΎΠΊΠ° ΠΏΡΠΈ ΠΠ€ΠΠΠ’ ΠΈ ΠΊΠΎΠ³Π½ΠΈΡΠΈΠ²Π½ΡΡ
Π½Π°ΡΡΡΠ΅Π½ΠΈΠΉ Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² ΠΊΠ°ΡΠ΄ΠΈΠΎΡ
ΠΈΡΡΡΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΡΠΎΡΠΈΠ»Ρ, ΠΏΠΎΠ΄Π²Π΅ΡΠ³ΡΠΈΡ
ΡΡ ΠΊΠΎΡΠΎΠ½Π°ΡΠ½ΠΎΠΌΡ ΡΡΠ½ΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΈ ΡΠΎΡΠ΅ΡΠ°Π½Π½ΠΎΠΌΡ Π²ΠΌΠ΅ΡΠ°ΡΠ΅Π»ΡΡΡΠ²Ρ Π½Π° ΠΊΠΎΡΠΎΠ½Π°ΡΠ½ΡΡ
ΠΈ ΠΊΠ°ΡΠΎΡΠΈΠ΄Π½ΡΡ
Π°ΡΡΠ΅ΡΠΈΡΡ
Π² ΡΡΠ»ΠΎΠ²ΠΈΡΡ
ΠΈΡΠΊΡΡΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ ΠΊΡΠΎΠ²ΠΎΠΎΠ±ΡΠ°ΡΠ΅Π½ΠΈΡ. ΠΠΎΠΊΠ°Π·Π°Π½Ρ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ ΠΠ€ΠΠΠ’ ΠΊΠ°ΠΊ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠ° Π² ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠΈ Π»ΠΎΠΊΠ°Π»ΠΈΠ·Π°ΡΠΈΠΈ ΠΎΠ±Π»Π°ΡΡΠ΅ΠΉ Ρ ΠΏΠΎΠ΄ΠΎΠ±Π½ΠΎΠΉ ΡΠ²ΡΠ·ΡΡ, Π² ΠΎΡΠ΅Π½ΠΊΠ΅ Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ ΠΏΠ΅ΡΡΡΠ·ΠΈΠΈ Π³ΠΎΠ»ΠΎΠ²Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³Π° ΠΈ ΠΊΠΎΠ³Π½ΠΈΡΠΈΠ²Π½ΡΡ
ΡΡΠ½ΠΊΡΠΈΠΉ Π² Π΄ΠΎ- ΠΈ ΠΏΠΎΡΠ»Π΅ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠΎΠ½Π½ΠΎΠΌ ΠΏΠ΅ΡΠΈΠΎΠ΄Π΅.Π¦Π΅Π»Ρ. ΠΠΏΡΠ΅Π΄Π΅Π»ΠΈΡΡ Π½Π°Π»ΠΈΡΠΈΠ΅ ΡΠ²ΡΠ·ΠΈ ΠΌΠ΅ΠΆΠ΄Ρ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΡΠΌΠΈ ΡΠ΅Π³ΠΈΠΎΠ½Π°ΡΠ½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³ΠΎΠ²ΠΎΠ³ΠΎ ΠΊΡΠΎΠ²ΠΎΡΠΎΠΊΠ° (ΡΠΠ) ΠΏΠΎ Π΄Π°Π½Π½ΡΠΌ ΠΎΠ΄Π½ΠΎΡΠΎΡΠΎΠ½Π½ΠΎΠΉ ΡΠΌΠΈΡΡΠΈΠΎΠ½Π½ΠΎΠΉ ΠΊΠΎΠΌΠΏΡΡΡΠ΅ΡΠ½ΠΎΠΉ ΡΠΎΠΌΠΎΠ³ΡΠ°ΡΠΈΠΈ (ΠΠ€ΠΠΠ’) ΠΈ Π΄Π°Π½Π½ΡΠΌΠΈ Π½Π΅ΠΉΡΠΎΠΏΡΠΈΡ
ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠ΅ΡΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ Ρ ΠΊΠ°ΡΠ΄ΠΈΠΎΡ
ΠΈΡΡΡΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ².Β ΠΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. ΠΠ·ΡΡΠ΅Π½Ρ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΠΈ ΡΠΠ ΠΈ Π΄Π°Π½Π½ΡΠ΅ Π½Π΅ΠΉΡΠΎΠΏΡΠΈΡ
ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠ΅ΡΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ 34 ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² ΠΊΠ°ΡΠ΄ΠΈΠΎΡ
ΠΈΡΡΡΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΡΠΎΡΠΈΠ»Ρ, ΠΏΠΎΠ΄Π²Π΅ΡΠ³ΡΠΈΡ
ΡΡ ΠΊΠΎΡΠΎΠ½Π°ΡΠ½ΠΎΠΌΡ ΡΡΠ½ΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ (n = 13) ΠΈ ΡΠΎΡΠ΅ΡΠ°Π½Π½ΠΎΠΌΡ Π²ΠΌΠ΅ΡΠ°ΡΠ΅Π»ΡΡΡΠ²Ρ Π½Π° ΠΊΠΎΡΠΎΠ½Π°ΡΠ½ΡΡ
ΠΈ ΠΊΠ°ΡΠΎΡΠΈΠ΄Π½ΡΡ
Π°ΡΡΠ΅ΡΠΈΡΡ
(n = 21). Π‘ΠΎΡΡΠΎΡΠ½ΠΈΠ΅ Π³ΠΎΠ»ΠΎΠ²Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³Π° ΠΎΡΠ΅Π½Π΅Π½ΠΎ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ ΠΠ€ΠΠΠ’ Ρ ΡΠ°Π΄ΠΈΠΎΡΠ°ΡΠΌΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠΎΠΌ 99mTc-HMPAO (Ceretec, GE Healthcare, ΠΠ΅Π»ΠΈΠΊΠΎΠ±ΡΠΈΡΠ°Π½ΠΈΡ). ΠΡΠ΅Π½ΠΊΠ° ΠΊΠΎΠ³Π½ΠΈΡΠΈΠ²Π½ΡΡ
ΡΡΠ½ΠΊΡΠΈΠΉ Π΄ΠΎ Ρ
ΠΈΡΡΡΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π²ΠΌΠ΅ΡΠ°ΡΠ΅Π»ΡΡΡΠ²Π°, Π·Π° 2β3 Π΄Π½Ρ, ΠΈ Π² ΡΠ°Π½Π½Π΅ΠΌ ΠΏΠΎΡΠ»Π΅ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠΎΠ½Π½ΠΎΠΌ ΠΏΠ΅ΡΠΈΠΎΠ΄Π΅, Π½Π° 5β7-ΠΉ Π΄Π΅Π½Ρ, ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½Π° Π½Π° ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠ½ΠΎ-Π°ΠΏΠΏΠ°ΡΠ°ΡΠ½ΠΎΠΌ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ΅ Status-PF.Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. ΠΡΡΠ²Π»Π΅Π½Π° ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΡΠ²ΡΠ·Ρ ΠΌΠ΅ΠΆΠ΄Ρ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΡΠΌΠΈ ΡΠΠ ΠΈ Π΄Π°Π½Π½ΡΠΌΠΈ Π½Π΅ΠΉΡΠΎΠΏΡΠΈΡ
ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠ΅ΡΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π² Π΄ΠΎ- ΠΈ ΠΏΠΎΡΠ»Π΅ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠΎΠ½Π½ΠΎΠΌ ΠΏΠ΅ΡΠΈΠΎΠ΄Π΅. ΠΠ°ΡΠ΅Π³ΠΈΡΡΡΠΈΡΠΎΠ²Π°Π½Π° Π·Π°ΠΌΠ΅ΡΠ½Π°Ρ ΡΠ²ΡΠ·Ρ Ρ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΡΠΌΠΈ ΡΠΊΠ°Π»Ρ Π΄Π΅ΠΏΡΠ΅ΡΡΠΈΠΈ ΠΠ΅ΠΊΠ° Π² 1-ΠΉ (p = 0,010943) ΠΈ 2-ΠΉ (p = 0,000604) Π³ΡΡΠΏΠΏΠ°Ρ
Π΄ΠΎ ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠΈ. Π 1-ΠΉ Π³ΡΡΠΏΠΏΠ΅ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π° Π²ΡΡΠΎΠΊΠ°Ρ ΡΠ²ΡΠ·Ρ ΡΠΎ Π²ΡΠ΅ΠΌΠ΅Π½Π΅ΠΌ ΡΠ»ΠΎΠΆΠ½ΠΎΠΉ Π·ΡΠΈΡΠ΅Π»ΡΠ½ΠΎ-ΠΌΠΎΡΠΎΡΠ½ΠΎΠΉ ΡΠ΅Π°ΠΊΡΠΈΠΈ (Π‘ΠΠΠ ) Π΄ΠΎ (p = 0,003878) ΠΈ ΠΏΠΎΡΠ»Π΅ (p = 0,001251) ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠΈ, Π·Π°ΠΌΠ΅ΡΠ½Π°Ρ ΡΠ²ΡΠ·Ρ Ρ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²ΠΎΠΌ ΠΎΡΠΈΠ±ΠΎΠΊ (Π‘ΠΠΠ ) Π΄ΠΎ (p = 0,042911) ΠΈ Π²ΡΡΠΎΠΊΠ°Ρ ΡΠ²ΡΠ·Ρ ΠΏΠΎΡΠ»Π΅ (p = 0,003521) ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠΈ; Π²ΠΎ 2-ΠΉ Π³ΡΡΠΏΠΏΠ΅ Π·Π°ΠΌΠ΅ΡΠ½Π°Ρ ΡΠ²ΡΠ·Ρ Π΄ΠΎ (p = 0,004625) ΠΈ ΠΏΠΎΡΠ»Π΅ (p = 0,005689) Π²ΠΌΠ΅ΡΠ°ΡΠ΅Π»ΡΡΡΠ²Π°. Π 1-ΠΉ Π³ΡΡΠΏΠΏΠ΅ ΠΎΡΠΌΠ΅ΡΠ΅Π½Π° Π·Π°ΠΌΠ΅ΡΠ½Π°Ρ ΡΠ²ΡΠ·Ρ Ρ ΠΎΠ±ΡΠ΅ΠΌΠΎΠΌ Π²Π½ΠΈΠΌΠ°Π½ΠΈΡ ΠΏΠΎΡΠ»Π΅ ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠΈ (p = 0,049611), Π²ΠΎ 2-ΠΉ Π³ΡΡΠΏΠΏΠ΅ Π·Π°ΠΌΠ΅ΡΠ½Π°Ρ ΡΠ²ΡΠ·Ρ Π΄ΠΎ (p = 0,021969) ΠΈ ΠΏΠΎΡΠ»Π΅ (p = 0,008905) Π²ΠΌΠ΅ΡΠ°ΡΠ΅Π»ΡΡΡΠ²Π°. ΠΡΡΠ²Π»Π΅Π½Π° ΡΠ²ΡΠ·Ρ Ρ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²ΠΎΠΌ ΠΏΠ΅ΡΠ΅ΡΠ°Π±ΠΎΡΠ°Π½Π½ΡΡ
Π·Π½Π°ΠΊΠΎΠ² ΠΏΡΠΎΠ±Ρ ΠΡΡΠ΄ΠΎΠ½Π°: Π½Π° 1-ΠΉ ΠΌΠΈΠ½ΡΡΠ΅ Π²ΠΎ 2-ΠΉ Π³ΡΡΠΏΠΏΠ΅ Π·Π°ΠΌΠ΅ΡΠ½Π°Ρ ΡΠ²ΡΠ·Ρ Π΄ΠΎ (p = 0,016491) ΠΈ Π²ΡΡΠΎΠΊΠ°Ρ ΠΏΠΎΡΠ»Π΅ (p = 0,007920) ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠΈ, Π½Π° 4-ΠΉ ΠΌΠΈΠ½ΡΡΠ΅ Π²ΠΎ 2-ΠΉ Π³ΡΡΠΏΠΏΠ΅ Π²ΡΡΠΎΠΊΠ°Ρ ΡΠ²ΡΠ·Ρ Π΄ΠΎ ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠΈ (p = 0,001473); Ρ ΠΎΠ±ΡΠΈΠΌ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²ΠΎΠΌ ΠΏΠ΅ΡΠ΅ΡΠ°Π±ΠΎΡΠ°Π½Π½ΡΡ
Π·Π½Π°ΠΊΠΎΠ²: Π²ΠΎ 2-ΠΉ Π³ΡΡΠΏΠΏΠ΅ Π·Π°ΠΌΠ΅ΡΠ½Π°Ρ ΡΠ²ΡΠ·Ρ Π΄ΠΎ (p = 0,029073) ΠΈ ΠΏΠΎΡΠ»Π΅ (p = 0,024164) ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠΈ; Ρ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²ΠΎΠΌ ΡΠΎΠ²Π΅ΡΡΠ΅Π½Π½ΡΡ
ΠΎΡΠΈΠ±ΠΎΠΊ Π²ΡΡΠΎΠΊΠ°Ρ ΡΠ²ΡΠ·Ρ ΠΏΠΎΡΠ»Π΅ ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠΈ Π² 1-ΠΉ (p = 0,006367) ΠΈ 2-ΠΉ (p = 0,013780) Π³ΡΡΠΏΠΏΠ°Ρ
; ΠΎΡΠΌΠ΅ΡΠ΅Π½Π° Π²ΡΡΠΎΠΊΠ°Ρ ΡΠ²ΡΠ·Ρ Ρ ΠΊΠΎΡΡΡΠΈΡΠΈΠ΅Π½ΡΠΎΠΌ Π²Π½ΠΈΠΌΠ°Π½ΠΈΡ ΠΏΠΎΡΠ»Π΅ ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠΈ (p = 0,000153).ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. ΠΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΠΈ ΡΠ΅Π³ΠΈΠΎΠ½Π°ΡΠ½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³ΠΎΠ²ΠΎΠ³ΠΎ ΠΊΡΠΎΠ²ΠΎΡΠΎΠΊΠ°, ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΡΠ΅ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ ΠΠ€ΠΠΠ’, Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ², ΠΏΠ΅ΡΠ΅Π½Π΅ΡΡΠΈΡ
ΠΈΠ·ΠΎΠ»ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ΅ ΠΊΠΎΡΠΎΠ½Π°ΡΠ½ΠΎΠ΅ ΡΡΠ½ΡΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΠΈ ΡΠΈΠΌΡΠ»ΡΡΠ°Π½Π½ΡΠ΅ Π²ΠΌΠ΅ΡΠ°ΡΠ΅Π»ΡΡΡΠ²Π° Π½Π° ΠΊΠ°ΡΠΎΡΠΈΠ΄Π½ΡΡ
ΠΈ ΠΊΠΎΡΠΎΠ½Π°ΡΠ½ΡΡ
Π°ΡΡΠ΅ΡΠΈΡΡ
, ΠΊΠΎΡΡΠ΅Π»ΠΈΡΡΡΡ Ρ Π΄Π°Π½Π½ΡΠΌΠΈ Π½Π΅ΠΉΡΠΎΠΏΡΠΈΡ
ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠ΅ΡΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΈ ΠΎΡΡΠ°ΠΆΠ°ΡΡ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΡ ΠΊΠΎΠ³Π½ΠΈΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΡΡΠ°ΡΡΡΠ° Π±ΠΎΠ»ΡΠ½ΡΡ
ΠΠΊΠΊΡΠΌΡΠ»ΡΡΠΈΡ ΠΌΠ°ΡΠ³Π°Π½ΡΠ° Ρ ΡΠ°ΠΌΠΎΠΊ ΠΈ ΡΠ°ΠΌΡΠΎΠ² Π² ΠΌΡΡΠ΅ΡΠ½ΠΎΠΉ ΡΠΊΠ°Π½ΠΈ ΠΈ ΡΠ΅ΡΡΠ΅ ΡΡΠ΄Π°ΠΊΠ° ΠΎΠ±ΡΠΊΠ½ΠΎΠ²Π΅Π½Π½ΠΎΠ³ΠΎ (Sander lucioperca) ΠΠΎΠ²ΠΎΡΠΈΠ±ΠΈΡΡΠΊΠΎΠ³ΠΎ Π²ΠΎΠ΄ΠΎΡ ΡΠ°Π½ΠΈΠ»ΠΈΡΠ°
Studies on the accumulation of manganese in females and males in the scales and muscle tissue of the Sander lucioperca of the Novosibirsk Reservoir were carried out. Analyzes were taken in a A.M. Nikolaev analytical laboratory of the Institute of Inorganic Chemistry SB RAS. The pike perch were divided by gender. Then 34 samples of scales and muscle tissue were taken from them. The manganese content was determined by inductively coupled plasma atomic emission spectrometry on a Thermo Scientific iCAP-6500 spectrometer. High variability of manganese accumulation in females and males in scales and muscle tissue was revealed. It was found that the concentration of manganese in females scales was 7.7 times higher than in muscle tissue, and in males - 15.7 times. There were no significant differences in manganese content between the genders. The ratio of extreme variants of scales in females and males was 1: 5 and 1: 6, and in muscle tissue - 1: 35 and 1: 30, respectively. The average values of the concentration of manganese in the muscles of the Sander lucioperca of the Novosibirsk reservoir were determined. Differences in the deposition of manganese in muscle tissue in females and males of Sander lucioperca were revealed. The concentration of manganese in the muscles of females was 2 times higher than that of males. The results obtained on the accumulation of manganese in scales and muscle tissue can be used as reference values. The level of metal concentration is characterized by an uneven distribution in the muscles and scales of Sander lucioperca. The research results are suitable for a lifetime assessment of the Sander lucioperca interior. An average positive correlation was found between manganese in females with absolute length and body weight (r = 0.329 and r = 0.311). It was found that the amount of manganese and other heavy metals in the Novosibirsk reservoir is increasing.ΠΡΠΏΠΎΠ»Π½Π΅Π½Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΏΠΎ Π°ΠΊΠΊΡΠΌΡΠ»ΡΡΠΈΠΈ ΠΌΠ°ΡΠ³Π°Π½ΡΠ° Π² ΡΠ΅ΡΡΠ΅ ΠΈ ΠΌΡΡΠ΅ΡΠ½ΠΎΠΉ ΡΠΊΠ°Π½ΠΈ Ρ ΡΠ°ΠΌΠΎΠΊ ΠΈ ΡΠ°ΠΌΡΠΎΠ² ΡΡΠ΄Π°ΠΊΠ° ΠΎΠ±ΡΠΊΠ½ΠΎΠ²Π΅Π½Π½ΠΎΠ³ΠΎ (Sander lucioperca) ΠΠΎΠ²ΠΎΡΠΈΠ±ΠΈΡΡΠΊΠΎΠ³ΠΎ Π²ΠΎΠ΄ΠΎΡ
ΡΠ°Π½ΠΈΠ»ΠΈΡΠ°. ΠΠ½Π°Π»ΠΈΠ·Ρ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½Ρ Π½Π° Π±Π°Π·Π΅ ΡΠ΅ΡΡΠΈΡΠΈΡΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠΉ Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΎΠΉ Π»Π°Π±ΠΎΡΠ°ΡΠΎΡΠΈΠΈ ΠΠ½ΡΡΠΈΡΡΡΠ° Π½Π΅ΠΎΡΠ³Π°Π½ΠΈΡΠ΅ΡΠΊΠΎΠΉ Ρ
ΠΈΠΌΠΈΠΈ ΠΈΠΌ. Π. Π. ΠΠΈΠΊΠΎΠ»Π°Π΅Π²Π° Π‘Π Π ΠΠ. Π‘ΡΠ΄Π°ΠΊΠΈ Π±ΡΠ»ΠΈ ΡΠ°Π·Π΄Π΅Π»Π΅Π½Ρ ΠΏΠΎ ΠΏΠΎΠ»Ρ, Π° Π·Π°ΡΠ΅ΠΌ ΠΎΡ Π½ΠΈΡ
ΠΎΡΠΎΠ±ΡΠ°Π»ΠΈ ΠΏΠΎ 34 ΠΏΡΠΎΠ±Ρ ΡΠ΅ΡΡΠΈ ΠΈ ΠΌΡΡΠ΅ΡΠ½ΠΎΠΉ ΡΠΊΠ°Π½ΠΈ. Π‘ΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΠ΅ ΠΌΠ°ΡΠ³Π°Π½ΡΠ° ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΠ»ΠΈ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ Π°ΡΠΎΠΌΠ½ΠΎ-ΡΠΌΠΈΡΡΠΈΠΎΠ½Π½ΠΎΠΉ ΡΠΏΠ΅ΠΊΡΡΠΎΠΌΠ΅ΡΡΠΈΠΈ Ρ ΠΈΠ½Π΄ΡΠΊΡΠΈΠ²Π½ΠΎ-ΡΠ²ΡΠ·Π°Π½Π½ΠΎΠΉ ΠΏΠ»Π°Π·ΠΌΠΎΠΉ Π½Π° ΡΠΏΠ΅ΠΊΡΡΠΎΠΌΠ΅ΡΡΠ΅ iCAP-6500 ΡΠΈΡΠΌΡ Thermo Scientific. ΠΡΡΠ²Π»Π΅Π½Π° Π²ΡΡΠΎΠΊΠ°Ρ ΠΈΠ·ΠΌΠ΅Π½ΡΠΈΠ²ΠΎΡΡΡ Π½Π°ΠΊΠΎΠΏΠ»Π΅Π½ΠΈΡ ΠΌΠ°ΡΠ³Π°Π½ΡΠ° Ρ ΡΠ°ΠΌΠΎΠΊ ΠΈ ΡΠ°ΠΌΡΠΎΠ² Π² ΡΠ΅ΡΡΠ΅ ΠΈ ΠΌΡΡΠ΅ΡΠ½ΠΎΠΉ ΡΠΊΠ°Π½ΠΈ. Π£ΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΎ, ΡΡΠΎ ΠΊΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΡ ΠΌΠ°ΡΠ³Π°Π½ΡΠ° Ρ ΡΠ°ΠΌΠΎΠΊ Π² ΡΠ΅ΡΡΠ΅ Π±ΡΠ»Π° Π²ΡΡΠ΅ Π² 7,7 ΡΠ°Π·Π°, ΡΠ΅ΠΌ Π² ΠΌΡΡΠ΅ΡΠ½ΠΎΠΉ ΡΠΊΠ°Π½ΠΈ, Π° Ρ ΡΠ°ΠΌΡΠΎΠ² β Π² 15,7. ΠΠΎΡΡΠΎΠ²Π΅ΡΠ½ΡΡ
ΠΎΡΠ»ΠΈΡΠΈΠΉ ΠΏΠΎ ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΡ ΠΌΠ°ΡΠ³Π°Π½ΡΠ° ΠΌΠ΅ΠΆΠ΄Ρ ΠΏΠΎΠ»Π°ΠΌΠΈ Π½Π΅ Π²ΡΡΠ²Π»Π΅Π½ΠΎ. ΠΡΠ½ΠΎΡΠ΅Π½ΠΈΠ΅ ΠΊΡΠ°ΠΉΠ½ΠΈΡ
Π²Π°ΡΠΈΠ°Π½Ρ Π² ΡΠ΅ΡΡΠ΅ Ρ ΡΠ°ΠΌΠΎΠΊ ΠΈ ΡΠ°ΠΌΡΠΎΠ² Π±ΡΠ»ΠΎ 1 : 5 ΠΈ 1 : 6, Π° Π² ΠΌΡΡΠ΅ΡΠ½ΠΎΠΉ ΡΠΊΠ°Π½ΠΈ β 1 : 35 ΠΈ 1 : 30 ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²Π΅Π½Π½ΠΎ. ΠΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Ρ ΡΡΠ΅Π΄Π½ΠΈΠ΅ Π·Π½Π°ΡΠ΅Π½ΠΈΡ ΠΊΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΠΈ ΠΌΠ°ΡΠ³Π°Π½ΡΠ° Π² ΠΌΡΡΡΠ°Ρ
Ρ ΡΡΠ΄Π°ΠΊΠ° ΠΠΎΠ²ΠΎΡΠΈΠ±ΠΈΡΡΠΊΠΎΠ³ΠΎ Π²ΠΎΠ΄ΠΎΡ
ΡΠ°Π½ΠΈΠ»ΠΈΡΠ°. ΠΡΡΠ²Π»Π΅Π½Ρ ΡΠ°Π·Π»ΠΈΡΠΈΡ ΠΏΠΎ Π΄Π΅ΠΏΠΎΠ½ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΌΠ°ΡΠ³Π°Π½ΡΠ° Π² ΠΌΡΡΠ΅ΡΠ½ΠΎΠΉ ΡΠΊΠ°Π½ΠΈ Ρ ΡΠ°ΠΌΠΎΠΊ ΠΈ ΡΠ°ΠΌΡΠΎΠ² ΡΡΠ΄Π°ΠΊΠ°. ΠΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΡ ΠΌΠ°ΡΠ³Π°Π½ΡΠ° Π² ΠΌΡΡΡΠ°Ρ
Ρ ΡΠ°ΠΌΠΎΠΊ Π±ΡΠ»Π° Π² 2 ΡΠ°Π·Π° Π²ΡΡΠ΅, ΡΠ΅ΠΌ Ρ ΡΠ°ΠΌΡΠΎΠ². ΠΠΎΠ»ΡΡΠ΅Π½Π½ΡΠ΅ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΏΠΎ Π°ΠΊΠΊΡΠΌΡΠ»ΡΡΠΈΠΈ ΠΌΠ°ΡΠ³Π°Π½ΡΠ° Π² ΡΠ΅ΡΡΠ΅ ΠΈ ΠΌΡΡΠ΅ΡΠ½ΠΎΠΉ ΡΠΊΠ°Π½ΠΈ ΠΌΠΎΠΆΠ½ΠΎ ΠΏΡΠΈΠΌΠ΅Π½ΡΡΡ Π² ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΡΠ΅ΡΠ΅ΡΠ΅Π½ΡΠ½ΡΡ
Π·Π½Π°ΡΠ΅Π½ΠΈΠΉ. Π£ΡΠΎΠ²Π΅Π½Ρ ΠΊΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΠΈ ΠΌΠ΅ΡΠ°Π»Π»Π° Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΡΠ΅ΡΡΡ Π½Π΅ΡΠ°Π²Π½ΠΎΠΌΠ΅ΡΠ½ΡΠΌ ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ΠΌ Π² ΠΌΡΡΡΠ°Ρ
ΠΈ ΡΠ΅ΡΡΠ΅ ΡΡΠ΄Π°ΠΊΠ°. Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ΡΡ Π΄Π»Ρ ΠΏΡΠΈΠΆΠΈΠ·Π½Π΅Π½Π½ΠΎΠΉ ΠΎΡΠ΅Π½ΠΊΠΈ ΠΈΠ½ΡΠ΅ΡΡΠ΅ΡΠ° Sander lucioperca. ΠΡΡΠ²Π»Π΅Π½Π° ΡΡΠ΅Π΄Π½ΡΡ ΠΏΠΎΠ»ΠΎΠΆΠΈΡΠ΅Π»ΡΠ½Π°Ρ ΠΊΠΎΡΡΠ΅Π»ΡΡΠΈΡ ΠΌΠ΅ΠΆΠ΄Ρ ΠΌΠ°ΡΠ³Π°Π½ΡΠ΅ΠΌ Ρ ΡΠ°ΠΌΠΎΠΊ Ρ Π°Π±ΡΠΎΠ»ΡΡΠ½ΠΎΠΉ Π΄Π»ΠΈΠ½ΠΎΠΉ ΠΈ ΠΆΠΈΠ²ΠΎΠΉ ΠΌΠ°ΡΡΠΎΠΉ (r = 0,329 ΠΈ r = 0,311). Π£ΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΎ, ΡΡΠΎ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²ΠΎ ΠΌΠ°ΡΠ³Π°Π½ΡΠ°, Π° ΡΠ°ΠΊΠΆΠ΅ Π΄ΡΡΠ³ΠΈΡ
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ΠΌΠ΅ΡΠ°Π»Π»ΠΎΠ² Π² Π²ΠΎΠ΄ΠΎΠ΅ΠΌΠ΅ ΠΠΎΠ²ΠΎΡΠΈΠ±ΠΈΡΡΠΊΠΎΠ³ΠΎ Π²ΠΎΠ΄ΠΎΡ
ΡΠ°Π½ΠΈΠ»ΠΈΡΠ° ΡΠ²Π΅Π»ΠΈΡΠΈΠ²Π°Π΅ΡΡΡ
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