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. 2022 Nov 3;27(21):7533. doi: 10.3390/molecules27217533

Connecting SiO4 in Silicate and Silicate Chain Networks to Compute Kulli Temperature Indices

Ying-Fang Zhang 1, Muhammad Usman Ghani 2,*, Faisal Sultan 2, Mustafa Inc 3,4,*, Murat Cancan 5
Editor: Jia-Bao Liu
PMCID: PMC9654817  PMID: 36364361

Abstract

A topological index is a numerical parameter that is derived mathematically from a graph structure. In chemical graph theory, these indices are used to quantify the chemical properties of chemical compounds. We compute the first and second temperature, hyper temperature indices, the sum connectivity temperature index, the product connectivity temperature index, the reciprocal product connectivity temperature index and the F temperature index of a molecular graph silicate network and silicate chain network. Furthermore, a QSPR study of the key topological indices is provided, and it is demonstrated that these topological indices are substantially linked with the physicochemical features of COVID-19 medicines. This theoretical method to find the temperature indices may help chemists and others in the pharmaceutical industry forecast the properties of silicate networks and silicate chain networks before trying.

Keywords: temperature indices, silicate network, silicate chain network

1. Introduction

Using chemical graph theory, one can determine a wide range of characteristics, such as chemical networks, physical, chemical, and thermal properties, biological activity, and chemical activity [1]. Topological indices, which are molecular descriptors, can characterize these features and specific graphs [2,3]. In chemical graph theory, vertices represent atoms, and edges represent chemical bonding between the atoms [4,5]. The topological index of a chemical composition is a numerical value or a continuation of a given structure under discussion, which indicates the chemical, physical and biological properties of a structure of chemical molecule; see for details [6,7,8].

Mathematical chemistry explains how to use polynomials and functions to provide instructions hidden in the symmetry of molecular graphs, and graph theory has many applications in modern chemistry, particularly organic chemistry. Many applications of topological indices are used in theoretical chemistry, particularly QSPR/QSAR research. Many well-known researchers have investigated topological indices in order to learn more about various graph families [9]. In qualitative structure property relationships (QSPR) and qualitative structure activity relationships (QSAR), topological indices are used directly as simple numerical descriptors in comparison with physical, biological, or chemical parameters of molecules, which is an advantage of the chemical industry. Many researchers have worked on various chemical compounds and computed topological descriptors of various molecular graphs over the last few decades [10,11].

In a recent article [12], the atom-bond sum-connectivity (ABS) index was proposed as a new molecular descriptor by combining the key ideas of the SC and ABC indices. Graph indices have been discovered to be useful in chemistry for chemical documentation, structure property relationships, structure activity relationships, and pharmaceutical drug design. There has been much interest in the general issue of calculating graph indices [13,14].

We only consider finite, simple, connected graphs in this paper. Assume G is a graph with vertex set VG and edge set EG; the number of vertices adjacent to a vertex u determines its degree du. For fundamental notations and terminologies, we refer the reader to [15].

Fajtlowicz defined the temperature of every vertex u of a graph G in [16] as

Tui=dui|VG| duiwhereuiVG (1)

The first temperature index [17] is defined as follows:

T1(G)=u,vE(G)Tu+Tv (2)

In 2020, Kulli introduced the second temperature index [18], which is defined as follows:

T2(G)=u,vE(G)Tu×Tv (3)

Kulli introduced the first and second hyper temperature indices in [18], which are defined as

HT1(G)=u,vE(G)Tu+Tv2 (4)
HT2(G)=u,vE(G)Tu×Tv2 (5)

Of note, also introduced in the same paper [18] were the sum connectivity temperature index, the product connectivity temperature index, and the reciprocal product connectivity index, which are defined as

ST(G)=u,vE(G)1Tu+Tv (6)
PT(G)=u,vE(G)1Tu×Tv (7)
RPT(G)=u,vE(G)Tu×Tv (8)

Kulli introduced the F-temperature index and general temperature index of a graph G in [18], and they are defined as

FT(G)=u,vE(G)Tu2+Tv2 (9)

In industrial chemistry, a silicate Si is an element of a family of anions (an ion is a atom or molecule with a net electrical charge) containing of silicon and oxygen. L. Boyer used the general formula SiO4t(42t)n for 0t<2 in [19]. Some researchers also explain the family of anions by using a formula for the orthosilicate family, SiO44(t=0), as can be seen in [20]; a formula for the metasilicate family, SiO32(t=1), as can be seen in [21]; and a formula for the pyrosilicate family, Si2O76(t=12,n=2), as can be seen in [22]. We can extend silicate Si to any anion containing silicon (atom bonding with something other than O2), such as Hexafluorosilicate SiF32; see in [23]. Here, we discuss only chains of silicates, which are obtained by alternating sequence of the tetrahedral SiO4; see for details [24,25].

In this article, the above-defined eight temperature indices are constructed by the atom bond partition of a silicate network SNP and a silicate chain network CNP, which are partitioned according to the degrees of their Si and O2 atoms. We also investigate the silicon tetrahedron SiO4 in a compound structure and derive the precise formulas of certain essential degree-based temperate indices using the approach of atom bond partitioning of the molecular structure of silicates. We use the the concept of temperature indices from Kulli and other researchers [26,27].

2. Results for Silicate Network SNP

In this section, we shall compute temperature indices for silicate networks. Metal oxide or metal carbonates are fused with sand to form silicate networks. The basic unit of silicates is the tetrahedron SiO4; this tetrahedron is found in almost all silicates. The sides of the tetrahedron SiO4 represent oxygen atoms, while the middle represents silicon atoms from a chemical perspective. Figure 1 depicts a tetrahedron of SiO4 in a silicate network SNP, where p is the number of hexagons between the center and the boundary of SNP. A silicate sheet network is a collection of SiO4 linked to other rings in a two-dimensional plane by shared oxygen atoms, resulting in a sheet-like structure, as shown in Figure 1.

Figure 1.

Figure 1

Silicate network of dimension 2.

It can be seen in silicate network SNP (see Figure 1) that silicon atoms and corner atoms (lying on SiO4 tetrahedrons in each ring) have a degree of 3, whereas all other atoms have a degree of 6. The number of atoms of degree 3 and degree 6 are 6p2+6p and 9p23p, respectively. Thus, the total number of atoms and total number of atom bonds is shown in Equation (10).

|V(SNP)| = 3(5p2+1)and|E(SNP)|=36p2 (10)

According to the degree of the atoms, there are three types of atom bonds in SNP: (3,3), (3,6) and (6,6). The atom bond partition of SNP can be shown as:

E(2,2)={e=uv,u,vV(SNP)|du=3,dv=3},|E(3,3)|=6pE(2,3)={e=uv,u,vV(SNP)|du=3,dv=6},|E(3,6)|=6(3p2+1)E(3,3)={e=uv,u,vV(SNP)|du=6,dv=6},|E(6,6)|=6(3p22p).

Using Equation (1) and above partition of SNP, it can be seen that there are three types of edges based on the temperature of end vertices of each edge, as given in Table 1.

Table 1.

Atom bond partition of SNP based on the valency of each atom of SiO4.

(Tu,Tv) 33(5p2+1)3,33(5p2+1)3 33(5p2+1)3,63(5p2+1)6 63(5p2+1)6,63(5p2+1)6
6p 6(3p2+1) 6(3p22p)

Theorem 1.

Let SNP be a silicate network. Then, the first temperature index is 125p+6(3p2+1)15p215p2(5P21)+24p(3p2)5p21.

Proof. 

Using the atom bond partition from Table 1 in the formula of the first temperature index (2), we obtain

T1(SNP)=E(3,3)T3+T3+E(3,6)T3+T6+E(6,6)T6+T6=6p33(5p2+1)3+33(5p2+1)3+6(3p2+1)33(5p2+1)3+63(5p2+1)6+6(3p22p)63(5p2+1)6+63(5p2+1)6

After simplification, we obtain

T1(SNP)=125p+6(3p2+1)15p215p2(5P21)+24p(3p2)5p21. (11)

Theorem 2.

Let SNP be a silicate network. Then, the second temperature index is 625p3+12(3p2+1)5p2(5P21)+24p(3p2)(5p21)2.

Proof. 

Using the atom bond partition from Table 1 in the formula of the second temperature index (3), we obtain

T2(SNP)=E(3,3)T3×T3+E(3,6)T3×T6+E(6,6)T6×T6=6p33(5p2+1)3×33(5p2+1)3+6(3p2+1)33(5p2+1)3×63(5p2+1)6+6(3p22p)63(5p2+1)6×63(5p2+1)6

After simplification, we obtain

T2(SNP)=625p3+12(3p2+1)5p2(5P21)+24p(3p2)(5p21)2. (12)

Theorem 3.

Let SNP be a silicate network. Then, the first hyper temperature index is 2425p3+6(3p2+1)(15p21)225p4(5P21)2+96p(3p2)(5p21)2.

Proof. 

Using the atom bond partition from Table 1 in the formula of the first hyper temperature index (4), we obtain

HT1(SNP)=E(3,3)T3+T32+E(3,6)T3+T62+E(6,6)T6+T62=6p33(5p2+1)3+33(5p2+1)32+6(3p2+1)33(5p2+1)3+63(5p2+1)62+6(3p22p)63(5p2+1)6+63(5p2+1)62

After simplification, we obtain

HT1(SNP)=2425p3+6(3p2+1)(15p21)225p4(5P21)2+96p(3p2)(5p21)2. (13)

Theorem 4.

Let SNP be a silicate network. Then, the second hyper temperature index is 6625p7+24(3p2+1)25p4(5P21)2+96p(3p2)(5p21)4.

Proof. 

Using the atom bond partition from Table 1 in the formula of the second temperature index (5), we obtain

HT2(SNP)=E(3,3)T3×T32+E(3,6)T3×T62+E(6,6)T6×T62=6p33(5p2+1)3×33(5p2+1)32+6(3p2+1)33(5p2+1)3×63(5p2+1)62+6(3p22p)63(5p2+1)6×63(5p2+1)62

After simplification, we obtain

HT2(SNP)=6625p7+24(3p2+1)25p4(5P21)2+96p(3p2)(5p21)4. (14)

Theorem 5.

Let SNP be a silicate network. Then, the sum connectivity temperature index is 3p210+6p(3p2+1)5(5p21)15P21+3p(3p2)(5p21).

Proof. 

Using the atom bond partition from Table 1 in the formula of the sum connectivity temperature index (6), we obtain

ST(SNP)=E(3,3)1T3+T3+E(3,6)1T3+T6+E(6,6)1T6+T6=6p33(5p2+1)3+33(5p2+1)3+6(3p2+1)33(5p2+1)3+63(5p2+1)6+6(3p22p)63(5p2+1)6+63(5p2+1)6

After simplification, we obtain

ST(SNP)=3p210+6p(3p2+1)5(5p21)15P21+3p(3p2)(5p21). (15)

Theorem 6.

Let SNP be a silicate network. Then, the product connectivity temperature index is 30p2+3p(3p2+1)25p2(5P21)+3p(3p2)(5p21).

Proof. 

Using the atom bond partition from Table 1 in the formula of the product connectivity temperature index (7), we obtain

PT(SNP)=E(3,3)1T3×T3+E(3,6)1T3×T6+E(6,6)1T6×T6=6p33(5p2+1)3×33(5p2+1)3+6(3p2+1)33(5p2+1)3×63(5p2+1)6+6(3p22p)63(5p2+1)6×63(5p2+1)6

After simplification, we obtain

PT(SNP)=30p2+3p(3p2+1)25p2(5P21)+3p(3p2)(5p21). (16)

Theorem 7.

Let SNP be a silicate network. Then, the reciprocal product temperature index is 65+6(3p2+1)25p2(5P21)+12p(3p2)5p21.

Proof. 

Using the atom bond partition from Table 1 in the formula of the second temperature index (8), we obtain

RPT(SNP)=E(3,3)T3×T3+E(3,6)T3×T6+E(6,6)T6×T6=6p33(5p2+1)3×33(5p2+1)3+6(3p2+1)33(5p2+1)3×63(5p2+1)6+6(3p22p)63(5p2+1)6×63(5p2+1)6

After simplification, we obtain

RPT(SNP)=65+6(3p2+1)25p2(5P21)+12p(3p2)5p21. (17)

Theorem 8.

Let SNP be a silicate network. Then, the F-temperature index is.

Proof. 

Using the atom bond partition from Table 1 in the formula of the F-temperature index (9), we obtain

FT(SNP)=E(3,3)T32+T32+E(3,6)T32+T62+E(6,6)T62+T62=6p{33(5p2+1)3}2+{33(5p2+1)3}2+6(3p2+1){33(5p2+1)3}2+{63(5p2+1)6}2+6(3p22p){63(5p2+1)6}2+{63(5p2+1)6}2

After simplification, we obtain

FT(SNP)=1225p3+6(3p2+1)(15p21)2+100p425p4(5P21)2+48p(3p2)(5p21)2. (18)

Numerical Comparison of Temperature Indices for SNp

In this section, we present a numerical comparison in Table 2 of temperature indices for n=2,3,4,,15 of silicate network SNp.

Table 2.

Temperature indices of silicate network SNp for p2.

p T1 T2 HT1 HT2 ST PT RPT FT
2 23.42 0.97 2.44 0.0092538 340.51 581.66 17.57 37.06
3 23.62 0.44 1.16 0.0010648 1149.06 3050 22.05 34.49
4 23.87 0.25 0.68 0.0002780 2730.22 9970.46 28.20 33.58
5 24.06 0.16 0.44 0.00011078 5324.19 24,942.95 33.39 33.16
6 24.21 0.11 0.31 0.00005594 9251.16 52,647.46 38.55 32.93
7 24.33 0.08 0.23 0.00003258 14,711.32 98,843.98 43.70 32.79
8 24.42 0.06 0.18 0.00002082 21,984.83 170,372.50 48.83 32.70
9 24.50 0.05 0.14 0.000014198 31,331.89 275,153.03 53.95 32.64
10 24.56 0.04 0.12 0.000010149 43,012.66 422,185.57 59.07 32.59
11 24.61 0.03 0.10 0.0000075 57,287.32 621,550.10 64.18 32.56
12 24.65 0.03 0.08 0.000057 74,416.05 884,406.64 69.29 32.53

3. Results for Silicate Chain Network CNP

In this section, we will look at a family of silicate chain networks, which is denoted by CNP and is obtained by arranging p tetrahedral SiO4 linearly, as shown in Figure 2.

Figure 2.

Figure 2

Silicate chain network of dimension 8.

It can be seen in silicate chain network CNP (see Figure 2) that the silicon atoms and corner atoms (lying on SiO4 tetrahedrons in each ring) have valency 3, where as all other atoms have valency 6. The number of atoms of valency 3 and valency 6 are 2(p+1) and p1, respectively. Thus, the total number of atoms and total number of atom bonds is shown in Equation (19).

|V(CNP)|=3p+1and|E(CNP)|=6p (19)

According to the degree of the atoms, there are three types of atom bonds in CNP: (3,3), (3,6) and (6,6). The atom bond partition of CNP is shown as:

E(2,2)={e=uv,u,vV(CNP)|du=3,dv=3},|E(3,3)|=p+4E(2,3)={e=uv,u,vV(CNP)|du=3,dv=6},|E(3,6)|=2(2p1)E(3,3)={e=uv,u,vV(CNP)|du=6,dv=6},|E(6,6)|=p2.

Using Equation (1) and above partition of CNP, it can be seen that there are three types of edges based on the temperature of end vertices of each edge, as given in Table 3.

Table 3.

Atom bond partition of CNP based on the valency of each atom of SiO4.

(Tu,Tv) 3(3p+1)3,3(3p+1)3 3(3p+1)3,6(3p+1)6 6(3p+1)6,6(3p+1)6
Frequency p+4 2(2p1) p2

Theorem 9.

Let CNP be a silicate chain network. Then, the first temperature index is 6(p+4)3p2+54(2p23p+1)9p221p+10+12(p2)3p5.

Proof. 

Using the atom bond partition from Table 3 in the formula of the first temperature index (2), we obtain

T1(CNP)=E(3,3)T3+T3+E(3,6)T3+T6+E(6,6)T6+T6=(p+4)3(3p+1)3+3(3p+1)3+2(2p1)3(3p+1)3+6(3p+1)6+(p2)6(3p+1)6+6(3p+1)6

After simplification, we obtain

T1(CNP)=6(p+4)3p2+54(2p23p+1)9p221p+10+12(p2)3p5. (20)

Theorem 10.

Let CNP be a silicate chain network. Then, the second temperature index is 9(p+4)(3p2)2+36(2p1)9p221p+10+36(p2)(3p5)2.

Proof. 

Using the atom bond partition from Table 3 in the formula of the second temperature index (3), we obtain

T2(CNP)=E(3,3)T3×T3+E(3,6)T3×T6+E(6,6)T6×T6=(p+4)3(3p+1)3×3(3p+1)3+2(2p1)3(3p+1)3×6(3p+1)6+(p2)6(3p+1)6×6(3p+1)6

After simplification, we obtain

T2(CNP)=9(p+4)(3p2)2+36(2p1)9p221p+10+36(p2)(3p5)2. (21)

Theorem 11.

Let CNP be a silicate chain network. Then, the first hyper temperature index is 36(p+4)(3p2)2+1458(2p1)(p1)2(3p5)(3p2)2+144(p2)(3p5)2.

Proof. 

Using the atom bond partition from Table 3 in the formula of the first hyper temperature index (4), we obtain

HT1(CNP)=E(3,3)T3+T32+E(3,6)T3+T62+E(6,6)T6+T62=(p+4)3(3p+1)3+3(3p+1)32+2(2p1)3(3p+1)3+6(3p+1)62+(p2)6(3p+1)6+6(3p+1)62

After simplification, we obtain

HT1(CNP)=36(p+4)(3p2)2+1458(2p1)(p1)2(3p5)(3p2)2+144(p2)(3p5)2. (22)

Theorem 12.

Let CNP be a silicate chain network. Then, the second hyper temperature index is 81(p+4)(3p2)4+648(2p1)(3p5)2(3p2)2+1296(p2)(3p5)4.

Proof. 

Using the atom bond partition from Table 3 in the formula of the second temperature index (5), we obtain

HT2(CNP)=E(3,3)T3×T32+E(3,6)T3×T62+E(6,6)T6×T62=(p+4)3(3p+1)3×3(3p+1)32+2(2p1)3(3p+1)3×6(3p+1)62+(p2)6(3p+1)6×6(3p+1)62

After simplification, we obtain

HT2(CNP)=81(p+4)(3p2)4+648(2p1)(3p5)2(3p2)2+1296(p2)(3p5)4. (23)

Theorem 13.

Let CNP be a silicate chain network. Then the sum connectivity temperature index is (p+4)3p26+2(2p1)9p221p+1027(p1)+(p2)3p512.

Proof. 

Using the atom bond partition from Table 3 in the formula of the sum connectivity temperature index (6), we obtain

ST(CNP)=E(3,3)1T3+T3+E(3,6)1T3+T6+E(6,6)1T6+T6=(p+4)13(3p+1)3+3(3p+1)3+2(2p1)13(3p+1)3+6(3p+1)6+(p2)16(3p+1)6+6(3p+1)6

After simplification, we obtain

ST(CNP)=(p+4)3p26+2(2p1)9p221p+1027(p1)+(p2)3p512. (24)

Theorem 14.

Let CNP be a silicate network. Then, the product connectivity temperature index is 3p2+10p83+2(2p1)9p221p+1018+3p211p+106.

Proof. 

Using the atom bond partition from Table 3 in the formula of the product connectivity temperature index (7), we obtain

PT(CNP)=E(3,3)1T3×T3+E(3,6)1T3×T6+E(6,6)1T6×T6=(p+4)13(3p+1)3×3(3p+1)3+2(2p1)13(3p+1)3×6(3p+1)6+(p2)16(3p+1)6×6(3p+1)6

After simplification, we obtain

PT(CNP)=3p2+10p83+2(2p1)9p221p+1018+3p211p+106. (25)

Theorem 15.

Let CNP be a silicate chain network. Then, the reciprocal product temperature index is 3(p+4)3p2+6(2p1)29p221p+10+6(p2)3p5.

Proof. 

Using the atom bond partition from Table 3 in the formula of the second temperature index (8), we obtain

RPT(CNP)=E(3,3)T3×T3+E(3,6)T3×T6+E(6,6)T6×T6=(p+4)3(3p+1)3×3(3p+1)3+2(2p1)3(3p+1)3×6(3p+1)6+(p2)6(3p+1)6×6(3p+1)6

After simplification, we obtain

RPT(CNP)=3(p+4)3p2+6(2p1)29p221p+10+6(p2)3p5. (26)

Theorem 16.

Let CNP be a silicate network. Then, the F-temperature index is 18(p+4)(3p2)2+6(2p1)(135p2243p+123)(3p2)2(3p5)2+72(p2)(3p5)2.

Proof. 

Using the atom bond partition from Table 3 in the formula of the F-temperature index (9), we obtain

FT(CNP)=E(3,3)T32+T32+E(3,6)T32+T62+E(6,6)T62+T62=(p+4){3(3p+1)3}2+{3(3p+1)3}2+2(2p1){3(3p+1)3}2+{6(3p+1)6}2+(p2){6(3p+1)6}2+{6(3p+1)6}2

After simplification, we obtain

FT(CNP)=18(p+4)(3p2)2+6(2p1)(135p2243p+123)(3p2)2(3p5)2+72(p2)(3p5)2. (27)

Numerical Comparison of Temperature Indices for CNp

In this section, we present a numerical comparison of temperature indices for n=2,3,4,,15 of silicate chain network CNp (Table 4).

Table 4.

Temperature indices of silicate chain network CNp for p2.

p T1 T2 HT1 HT2 ST PT RPT FT
2 49.5 30.38 286.88 123.40 6.55 10.83 17.23 205.88
3 28.29 9.96 162.92 21.83 14.05 29.47 12.53 30.38
4 24.43 5.79 139.98 7.62 23.18 56.61 11.21 15.62
5 22.71 4.05 130.47 3.87 33.72 92.37 10.57 10.41
6 21.72 3.11 125.29 2.34 45.50 147.53 10.19 7.78
7 21.08 2.52 122.04 1.56 58.41 189.85 9.94 6.67
8 20.63 2.11 119.82 1.12 72.36 251.57 9.76 6.21
9 20.29 1.82 118.20 0.84 87.27 321.94 9.62 4.41
10 20.03 1.60 116.97 0.66 103.09 400.97 9.51 3.85
11 19.82 1.42 116 0.53 119.77 488.66 9.43 3.41
12 19.66 1.28 115.22 0.43 137.26 585.46 9.36 3.07

4. Graphical Comparison of Temperature Indices and Conclusion

Here, we try to show the variations of temperature indices in a 2D comparison graph; see Figure 3. The sum connectivity temperature index ST and the product connectivity temperature index PT gradually increase; however, the values of T1, T2, HT1, HT2, RPT, and FT rapidly decrease whenever the number of SiO4 increases in the silicate and silicate chain network.

Figure 3.

Figure 3

2D graphical comparison of temperature indices.

In QSPR/QSAR research, topological indices including the Zagreb index, Randic index, and atom bond connectivity index are utilised to predict chemical compound bioactivity. We propose computing the first temperature index, second temperature index, first hyper temperature index, second hyper temperature index, sum temperature index, product temperature, reciprocal product temperature index, and F-temperature index of silicate networks and silicate chain networks, which correlates well with entropy, the acentric factor, the enthalpy of vaporisation, and the standard enthalpy of vaporisation.

Author Contributions

Conceptualization, M.U.G. and F.S.; methodology, M.U.G.; software, Y.-F.Z.; validation, M.U.G. and F.S.; formal analysis, M.C.; investigation, M.U.G.; resources, F.S.; data curation, F.S.; writing—original draft preparation, F.S.; writing—review and editing, M.I.; visualization, Y.-F.Z.; supervision, F.S. and M.I.; project administration, Y.-F.Z. All authors have read and agreed to the published version of the manuscript.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

No data were used to support this study.

Conflicts of Interest

The authors declare no conflict of interest.

Sample Availability

Not available.

Funding Statement

National Natural Science Foundation of China (No. 11181003).

Footnotes

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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