HEXAGONAL
STRUCTURES IN PHYSICAL
CHEMISTRY
AND PHYSIOLOGY
G.A.
Korablev*, Yu.G. Vasiliev*, G.E. Zaikov**
* Izhevsk State
Agricultural Academy
** Institute of
Biochemical Physics, RAS
Abstract
Some
principles of forming carbon cluster nanosystems are analyzed based on
spatial-energy ideas. The dependence nomogram of the degree of structural
interactions on coefficient α is given, the latter is
considered as an analog of entropic characteristic. The attempt is made to
explain the specifics of forming hexagonal cell clusters in biosystems.
Keywords: spatial-energy parameter,
hexagonal clusters, cell systems, entropy
1. Introduction
Main
components of organic compounds constituting 98% of cell elemental composition are:
carbon, oxygen, hydrogen and nitrogen. The polypeptide bond formed by COOH and NH2
groups of amino acid CONH acts as the binding base of cell protein biopolymers.
Thus,
carbon is the main conformation center of different structural ensembles,
including the formation of cluster compounds. Àíàëèçèðóÿ ìåõàíèçì ôîðìèðîâàíèÿ
óãëåðîäíûõ êëàñòåðîâ ìîæíî ïî àíàëîãèè ïîíÿòü è ãåêñàãîíàëüíóþ ãåîìåòðèþ
êëåòî÷íûõ ñòðóêòóð.
In the
Nobel lecture in
physiology Edvard Moser
[1] pointed out such
analogy and presented some trial
data, which, probably need to
have additional theoretical confirmation. For further discussion of these problems the idea of spatial-energy parameter
(P-parameter) is introduced in this paper.
2.
Initial criteria
The
idea of spatial-energy parameter (P-parameter) which is the complex
characteristic of the most important atomic values responsible for interatomic
interactions and having the direct bond with the atom electron density is
introduced based on the modified Lagrangian equation for the relative motion of
two interacting material points [2].
The
value of the relative difference of P-parameters of interacting
atoms-components – the structural interaction coefficient α is used as the main numerical characteristic of structural interactions
in condensed media:
Fig. 1
Nomogram of structural interaction degree dependence (ρ) on
coefficient α
Applying
the reliable experimental data we obtain the nomogram of structural interaction
degree dependence (ρ) on coefficient α, the
same for a wide range of structures (Fig.1). This approach gives the
possibility to evaluate the degree and direction of the structural interactions
of phase formation, isomorphism and solubility processes in multiple systems,
including molecular ones.
Such
nomogram can be demonstrated [2] as a logarithmic dependence:
where
coefficient β – the constant value for the given class of structures.
β can structurally change mainly within ± 5% from the average value. Thus coefficient α is reversely proportional to the logarithm of the degree of structural
interactions and therefore, by analogy with Boltzmann equation, can be
characterized as the entropy of spatial-energy interactions of atomic-molecular
structures [3].
Actually the more is ρ, the more probable
is the formation of stable ordered structures (e.g. the formation of solid
solutions), i.e. the less is the process entropy. But also the less is
coefficient α.
The
equation (2) does not have the complete analogy with entropic Boltzmann’s
equation as in this case not absolute but only relative values of the
corresponding characteristics of the interacting structures are compared, which
can be expressed in percent. This refers not only to coefficient α but also to the comparative evaluation of structural interaction degree
(ρ), for example – the percent of atom content of the given element in the
solid solution relatively to the total number of atoms.
Conclusion:
the relative difference of spatial-energy parameters of the interacting
structures can be a quantitative characteristic of the interaction entropy:
3. Formation of carbon nanostructures
After different
allotropic modifications of carbon nanostructures (fullerenes, tubules) have
been discovered, a lot of papers dedicated to the investigations of such
materials, for instance were published, determined by the perspectives of their
vast application in different fields of material science.
The main conditions of stability of these structures
formulated based on modeling the compositions of over thirty carbon clusters
are given [4]:
1) Stable carbon
clusters look like polyhedrons where each carbon atom is three-coordinated.
2) More stable
carbopolyhedrons containing only 5- and 6-term cycles.
3) 5-term cycles
in polyhedrons – isolated.
4)
Carbopolyhedron shape is similar to spherical.
Let us demonstrate some possible explanations of
such experimental data based on the application of spatial-energy concepts. The approximate equality of effective energies of interacting subsystems
is the main condition for the formation of stable structure in this model based
on the following equation:
where Ê
– coordination number, R – bond dimensional characteristic.
At the same time,
the phase-formation stability criterion (coefficient α) is the relative difference of parameters Ð1 and Ð2 that is calculated following the equation (1) and is αST<(20-25)% (according to the nomogram).
During the
interactions of similar orbitals of homogeneous atoms
Let us consider
these initial notions as applicable to certain allotropic carbon modifications:
1. Diamond.
Modification of structure where Ê1=4, Ê2=4;
2. Non-diamond
carbon modification for which
3. Graphite.
4. Chains of
hydrocarbon atoms consisting of the series of homogeneous fragments with
similar values of P-parameters.
5. Cyclic organic compounds
as a basic variant of carbon nanostructures. Apparently, not only inner-atom
hybridization of valence orbitals of carbon atom takes place in cyclic
structures, but also total hybridization of all cycle atoms.
But not only the
distance between the nearest similar atoms by bond length (d) is the basic
dimensional characteristic, but also the distance to geometric center of cycle
interacting atoms (D) as the geometric center of total electron density of all
hybridized cycle atoms.
Then the basic
stabilization equation for each cycle atom will take into account the average
energy of hybridized cycle atoms:
where ΣÐ0=Ð0N; N – number of homogeneous atoms, Ð0 – parameter
of one cycle atom, Ê – coordination number relatively to geometric center of
cycle atoms. Since in these cases Ê
During the
interactions of similar orbitals of homogeneous atoms
Equation (5)
reflects a simple regularity of stabilization of cyclic structures:
In
cyclic structures the main condition of their stability is an approximate
equality of effective interaction energies of atoms along all bond directions.
The corresponding
geometric comparison of cyclic structures consisting of 3, 4, 5 and 6 atoms
results in the conclusion that only in 6-term cycle (hexagon) the bond length
(d) equals the length to geometric center of atoms (D): d=D.
Such calculation
of α following the equation analogous to (1), gives for hexagon α=0
and absolute bond stability. And for pentagon d≈1.17D and the value of
α=16%, i.e. this is the relative stability of the structure being formed.
For the other cases α>25% - structures are not stable. Therefore
hexagons play the main role in nanostructure formation and pentagons are
additional substructures, spatially limited with hexagons. Based on
stabilization equation hexagons can be arranged into symmetrically located
conglomerates consisting of several hexahedrons.
It is assumed
that defectless carbon nanotubes (NÒ) are formed as a result
of rolling the bands of flat atomic graphite net. The graphite has a
lamellar structure, each layer of which is composed of hexagonal cells. Under the center of hexagon of one layer there is an apex of hexagon of the
next layer.
The process of rolling flat carbon systems into
NT is, apparently, determined by polarizing effects of cation-anion
interactions resulting in statistic polarization of bonds in a molecule and
shifting of electron density of orbitals in the direction of more electronegative
atoms.
Thus, the aforesaid
spatial-energy notions allow characterizing in general the directedness of the
process of carbon nanosystem formation [5].
4. Hexagonal structures in
biosystems
In the full-on report
by Edvard Moser [1] the following problem results can be pointed out:
1. Cluster structures
of cells form geometrically symmetrical hexagonal systems.
2. Cells themselves statistically concentrate along
coordinate axes of symmetry with deviations not exceeding 7.5% (Fig. 2).
Fig. 2. Statistic distribution
of cells along coordinate axes [1]
3. For independent
cluster systems in different excitation activity phases four modules which
differ scale-wisely on coefficients can be pointed out: 1.4–1.421.
Cluster Ñ60 containing 60 three-coordinated
atoms and 180 effective bonds is the smallest stable carbon cluster. The
similar structure is most probable in biosystems even with the availability of three-coordinated
bonds of nitrogen atoms due to its 2Ð3-orbitals. This is cluster Ê60. The second module of clusters with the coefficient 1.4 has 252 bonds, which
means 72 additional bonds and corresponds to 12 new hexagons or 24 new atoms of
the system forming cluster Ê84. By the way, such cluster as Ñ84 is among stable ones in carbon systems. If the rectified coefficient 1.421
is used in calculations, four more additional bonds are formed, which,
apparently, play a binding role between the cluster subsystems.
The carbon
cluster Ñ60 contains 12 pentagons separated
with 20 hexagons. The pentagons can be considered as a defect of graphite plane
but structurally stabilizing the whole system. Still it is unknown if there are
similar formations in biosystems.
It can be assumed
that entropic statistics of distribution of activity degree of structural
interactions given in section 2 based on the nomogram (Fig. 1) is also
fulfilled in biosystems. Thus, according to the nomogram if α < 7%, the maximum of structural interactions is observed, and their
sharp decrease – if > 7%.
Therefore the maximal
deviation angle of cell statistic distribution from coordinate axes equal to 7.50
can be considered the demonstration of entropic regularity.
Apart from the
aforesaid, a number of facts of hexagonal formation of biological systems can
be also given as examples. For instance, the collocation of thin and thick myofilaments
in skeletal muscle fibers and cardiomyocytes. At the same time, 6 thin myofilaments
are revealed around each thick one. This system of functionally linked
macromolecular complexes is constituted of calcium-dependent transient bonds
between myosins and actins.
Also mechanotoropic
interactions in surface layers of multilayer flat epitheliums conjugated with ample
desmosomal contacts creating force fields on the background of the available hydrostatic
pressure in epithelial cells are naturally followed by the formation of ordered
epidermal columns with flat cells in the surface mainly of hexagonal shape and more
rarely – of pentagonal one. There are also other options of revealing the
aforesaid regularities.
General conclusion
The comparisons and calculations carried out
based on spatial-energy
ideas allow explaining some features of forming
hexagonal structures in
biosystems.
References
1. Nobel lecture by E. Moser in physiology: 11.03.2015, TV channel
“Science”.
2. Korablev G.A. Spatial-Energy
Principles of Complex Structures Formation//Brill Academic Publishers and VSP,
Netherlands, 2005, 426pð.
3. Korablev G.A., Petrova N.G., Korablev R.G., Osipov A.K., Zaikov G.E. On
Diversified Demonstration of Entropy // Polymers Research Journal. – 2014. -
Vol. 8, ¹ 3. – P. 145–153.
4. Sokolov V.I., Stankevich I.F. Fullerenes – new allotropic forms of
carbon: structure, electron composition and chemical properties // Successes in
chemistry, 1993, v. 62, ¹5, p. 455-473.
5. Korablev G.A., Zaikov G.E. Formation of carbon
nanostructures and spatial-energy criterion of stabilization // Mechanics of
composite materials and structures: RAS – IPM. – 2009. – V. 15, ¹ 1. – P.
106-118.
Information about
the authors
1. Grigory Andreevich Korablev, Doctor
of Science in Chemistry, Professor, Head of
Department of Physics at Izhevsk State Agricultural Academy.
E-mail: korablevga@mail.ru.
2. Yury Gennadievich Vasiliev, Doctor of Science in Medicine, Head of
Department of Physiology and Animal Sanitation at Izhevsk
State Agricultural Academy, Professor of Department of Histology, Cytology and
Embryology at Izhevsk State Agricultural
Academy.
E-mail: devugen@mail.ru
3. Gennady Efremovich Zaikov – Doctor of Science in Chemistry, Professor of
N.M. Emmanuel Institute of Biochemical Physics, RAS.
E-mail: chembio@sky.chph.ras.ru.