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Advanced technologies for chitin recovery from crustacean waste

  • Chitin is the second most plentiful natural biomass after cellulose, with a yearly production of about 1 × 1010–1 × 1012 tonnes. It can be obtained mainly from sea crustaceans' shells, containing 15–40% chitin. Full or partial deacetylation of chitin generates chitosan. Chitin and chitosan are used in several industrial sectors, as they exhibit high biocompatibility, biodegradability and several biological functions (e.g., antioxidant, antimicrobial and antitumoral activities). These biopolymers' market trends are destined to grow in the coming years, confirming their relevance. As a result, low-cost and industrial-scale production is the main challenge. Scientific literature reports two major technologies for chitin and chitosan recovery from crustacean waste: chemical and biological methods. The chemical treatment can be performed using conventional solvents, typically strong acid and alkaline solutions, or alternative green solvents, such as deep eutectic solvents (DESs) and natural deep eutectic solvents (NADESs). Biological methods use enzymatic or fermentation processes. For each route, this paper reviews the advantages and drawbacks in terms of environmental and economic sustainability. The conventional chemical method is still the most used but results in high environmental impacts. Green chemical methods by DESs and NADESs use low-toxic and biodegradable solvents but require high temperatures and long reaction times. Biological methods are eco-friendly but have limitations in the upscaling process, and are affected by high costs and long reaction times. This review focuses on the methodologies available to isolate chitin from crustaceans, providing a comprehensive overview. At the same time, it examines the chemical, biological and functional properties of chitin and its derivative, along with their most common applications. Consequently, this work represents a valuable knowledge tool for selecting and developing the most suitable and effective technologies to produce chitin and its derivatives.

    Citation: Alessandra Verardi, Paola Sangiorgio, Stefania Moliterni, Simona Errico, Anna Spagnoletta, Salvatore Dimatteo. Advanced technologies for chitin recovery from crustacean waste[J]. Clean Technologies and Recycling, 2023, 3(1): 4-43. doi: 10.3934/ctr.2023002

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  • Chitin is the second most plentiful natural biomass after cellulose, with a yearly production of about 1 × 1010–1 × 1012 tonnes. It can be obtained mainly from sea crustaceans' shells, containing 15–40% chitin. Full or partial deacetylation of chitin generates chitosan. Chitin and chitosan are used in several industrial sectors, as they exhibit high biocompatibility, biodegradability and several biological functions (e.g., antioxidant, antimicrobial and antitumoral activities). These biopolymers' market trends are destined to grow in the coming years, confirming their relevance. As a result, low-cost and industrial-scale production is the main challenge. Scientific literature reports two major technologies for chitin and chitosan recovery from crustacean waste: chemical and biological methods. The chemical treatment can be performed using conventional solvents, typically strong acid and alkaline solutions, or alternative green solvents, such as deep eutectic solvents (DESs) and natural deep eutectic solvents (NADESs). Biological methods use enzymatic or fermentation processes. For each route, this paper reviews the advantages and drawbacks in terms of environmental and economic sustainability. The conventional chemical method is still the most used but results in high environmental impacts. Green chemical methods by DESs and NADESs use low-toxic and biodegradable solvents but require high temperatures and long reaction times. Biological methods are eco-friendly but have limitations in the upscaling process, and are affected by high costs and long reaction times. This review focuses on the methodologies available to isolate chitin from crustaceans, providing a comprehensive overview. At the same time, it examines the chemical, biological and functional properties of chitin and its derivative, along with their most common applications. Consequently, this work represents a valuable knowledge tool for selecting and developing the most suitable and effective technologies to produce chitin and its derivatives.



    Graph theory has proven to be extremely advantageous to the study of different mathematical structures. An exciting relationship between number theory and graph theory was suggested by S. Bryant. He used number theory and graph theory to discuss group structures [1]. Interesting results about graphs based on congruences were investigated by P. Erdos and L. Somer [2,3]. L. Somer constructed the graphs using integers and established the results for the fixed points, isolated fixed points, semi-regular graph, and the number of components, of the proposed graph [3]. Khalid et al. introduced and characterized the notion of hyper totient graph and restricted hyper totient graph [4] by utilizing the connection between number theory and graph theory. Haris et al. examined a number of intriguing features and talked about power graphs using prime powers in this drive [5]. A. D. Christopher investigated graphs based on the set of moduli, termed a congruence graph. He proposed the conditions under which the congruence graph is complete: connected, bipartite, Hamiltonian, regular, path, and tree graph. He extracted the formulas for the degree sequence of vertices of the graph [6].

    In this paper, we investigate graphs based on prime moduli. The idea is to take all prime numbers that are less than a given integer. We can build a graph by inserting an edge between two vertices if both are congruent with respect to any prime number. This is a new innovation in graphs based on modular arithmetic. Before this idea, the modulus was fixed. In contrast, we are assuming all primes as moduli and residues of given fixed integer as vertices. We characterize these graphs and find results regarding vertex degrees, graph size, chromatic number, domination number, clique number, eccentricity, independence number through the vertex, independence number through edges, covering number through the vertex, and covering number through the edge of the prime congruence simple graphs, together with proofs using number theory. Figure 1 depicts the graph of prime moduli of the integer 10.

    Figure 1.  This is a graph of order 10 with vertices as positive integers and constructed on prime moduli.

    The following results and definitions are important to keep this paper self contained. For proofs of the following results and further details about the idea of a congruence graph, we suggest reading [6] and [7].

    The pair G(V,E) denotes a graph with the vertex set V and edge set E. The number of adjacent vertices to any specific vertex t is its degree. If the degree of each vertex of the graph is the same, then the graph is called regular. A vertex u with degree zero is an isolatedvertex. The total number of edges that are involved in a graph is called the graphsize. If each pair of distinct vertices is adjacent, then the graph is complete. A graph is said to be connected if each vertex is reachable from any other vertex. A path graph is a graph that can be drawn so that all of its vertices and edges lie on a single straight line. A path that starts from a given vertex and ends at the same vertex is called a cycle. A connected graph G is called a Hamiltoniangraph if there is a cycle that includes every vertex of G. The distance between any vertex a and the farthest vertex of the graph is called the eccentricityofthevertex a. The minimum eccentricity of the arbitrary vertex of the graph G is called the radius, and the maximum eccentricity of the arbitrary vertex of the graph is termed the diameter of the graph G. A vertex v in a graph G is called a centralvertex if the eccentricity of v is identical to the radius of the graph G. And if every vertex of G is a central vertex, then G is called selfcentered. The complement¯Gofagraph G is a graph having the same vertices of G such that a pair of vertices is adjacent if and only if they are not adjacent in G. The lengths of the longest and shortest cycles in a graph are called the circumference and girth of the graph.

    In graph theory, the independence of a vertex set is a crucial topic. In any graph G, a set of vertices is considered an independentset if no two vertices are adjacent. The cardinality of the largest independent set is called the vertexindependencenumber of G. α(G) denotes the vertex independence number of G. A subset L of the set of vertices V is called a cover of the graph if all edges of the graph are covered by L. Also, the cardinality of the minimum vertex cover of that graph is known as the vertexcoveringnumber. β(G) denotes the vertex covering number of G. A set of edges in a graph is independent if no two edges in the set are adjacent. The cardinality of the maximum independent set of edges of a graph is called the edgeindependencenumber of that graph. The edge independence number of a graph G is denoted by α1(G). A subset F of the set of edges E of the graph G, that covers all vertices of G is called an edgecover of the graph. Moreover, the cardinality of the minimum edge cover of a graph G is called the edgecoveringnumber of the graph G. β1(G) represents the edge covering number of the graph.

    Theorem 2.1. [7] For any graph G having n non-isolated vertices.

    α(G)+β(G)=n. (2.1)

    and,

    α1(G)+β1(G)=n. (2.2)

    In this section, we investigate some new results based on the definition of a congruence graph.

    Definition 3.1. [6]. Let n3 be an integer, and the set of moduli MK, where K={2,3,,n1}. The congruence graph G(n,M) is the graph in which {0,1,,n1} is the set of vertices and an edge exists between two distinct vertices s and t if st (modm) for some mM.

    The graphs in Figure 2 illustrate the idea of a congruence graph.

    Figure 2.  The graph (a) shows a simple planar congruence graph of order 6, which is 3 regular. But the graph (b) is a simple congruence graph of order 9, which is not a regular graph.

    The congruence graphs are very charming and have many interesting research possibilities. In the following result, we see that the congruence graph is empty if we take a particular singleton set as a moduli set.

    Theorem 3.2. If the congruence graph G(n,M) has order n5 and M={n1}, then it is an edgeless graph, i.e., G(n,M) is an empty graph.

    Proof. For n5, let M={n1}. Then the vertex set V is, {u1,u2,u3,,un}. If the result is false, then not all the vertices of the congruence graph are isolated. So there must exist at least two vertices, us and ut, where st such that usut(modm) for some us,utV,mM. Since us,utn1.

    |usut|<n1.n1usut.usut(modn1)us,vtV,st

    contradicting the fact that at least two vertices are adjacent. Hence, no pair of distinct vertices is adjacent.

    Theorem 3.3. Let n6 be a composite integer and M={m}, where m is the divisor of n. Then the congruence graph G(n,M) is regular, having m components, and each component will be isomorphic to the complete graph Knm1.

    Proof. Suppose n6 is a composite number and M={m},m|n. It is well known that the congruence relation is an equivalence relation on the set of integers, and the vertex set V={u1,u2,u3,,un} consists of positive integers. Therefore, the congruence relation defines a partition of the vertex set and partitions it into m classes. Clearly, each class contains nm elements. Moreover, it is evident that the elements of these equivalent classes are congruent to each other, so vertices in equivalent classes are adjacent to each other. This means that each of the subsets of the vertex set will produce a complete graph. Also, no two vertices of different classes are adjacent to each other, so we will have m components. Consequently, there must be m components of complete graphs, and each component will be isomorphic to Knm1.

    Corollary 3.4. If n=pk and M={p}. Then the congruence graph is disconnected and has p components, and each component is isomorphic to Kp{k1}1.

    Definition 4.1. Let n5 be an element of Z+, and let Mp be the set of all primes less than n. A graph G(n,Mp) in which V={1,2,3,,n} is the set of vertices and two distinct vertices c and d are adjacent if and only if cd(modm) for some m in Mp is called a prime congruence simple graph (PCSG).

    The following graphs in Figure 3 illustrate the idea of prime congruence simple graphs.

    Figure 3.  The graph (a) is a prime congruence simple graph of order 4, which is a path. But (b) shows the prime congruence simple graph of order 5.

    Remark. It can be seen that PCSG always produce a complete graph if M=Mp{1}. Note that for every two distinct elements a and b, ab(mod1). So each pair of vertices ui,ujV={u1,u2,u3,,un} are adjacent to each other. Hence, the congruence graph will be complete.

    The following theorem 4.2 characterizes the possible path graphs in PCSG.

    Theorem 4.2. The PCSG will be a path graph if and only if it has 3 or 4 vertices.

    Proof. Let PCSG be a path graph for any positive integer n, with n3,4. When n is 1 or 2, then by definition, M must be void, and the graph is not possible. When n=5, then u1,u2,u3,u4, and u5 are the possible vertices. In this case, M={2,3}. Clearly, the absolute difference between these vertices is divisible either by 2 or by 3. Then vertex u1 will be adjacent to u3,u4, and u5; vertex u2 will be adjacent to u4 and u5, and u3 must be adjacent to u5. If we look into the resultant graph, we note that u1u4u2u5u3u1. This means that the graph is a cycle, which is contrary to the fact that PCSG is a path graph. The rest of the cases for n=6,7, can be verified in a similar fashion. Conversely, suppose that PCSG has 3 or 4 vertices. When it has 3 vertices, namely u1,u2, and u3, then the set M has only one prime, which is 2. So u1 and u3 are the only adjacent vertices. If n=4, it has 4 vertices, namely u1,u2,u3, and u4. In this case, u1 is adjacent to u3 and u4. u2 is adjacent to u4.

    Theorem 4.3. Let G(n,Mp) be a PCSG of order n with vertex set V. Let uiV be an arbitrary vertex. Then

    deg(ui)={n2ifui{1,n},n3otherwise.

    Proof. Let G(n,Mp) be a PCSG of order n. Then, by definition, V={u1,u2,u3,,un}. Note that any two distinct vertices us, ut in PCSG are adjacent to each other if and only if |usut|2, where 1s,tn. Also, the set M consists of all primes less than n, so the distinct pair of vertices having an absolute difference greater than or equal to 2 must be adjacent to each other with respect to some prime modulus pM. It is worth mentioning that two consecutive vertices can never be adjacent to each other; hence, the vertex ut will not be adjacent to ut1 and ut+1. While ui will be adjacent to all remaining vertices due to having an absolute deviation from ui greater than or equal to 2. This means that the vertex ut is adjacent to all vertices except ut1 and ut+1. Moreover, the vertex ut is not self adjacent since the graph is simple. Consequently, the vertex u1 is not adjacent to u2 only, and hence its degree is n2. Similarly, the vertex un is not connected to un1 only and has degree n2. Thus, the rest of the vertices have degree n3.

    The following corollary is a direct consequence of Theorem 4.3.

    Corollary 4.4. The PCSG of order n4 has size (n1)(n2)2.

    Proof. Suppose u1,u2,,un are the n vertices of a prime congruence simple graph G(n,Mp). By Theorem 4.3, the degree of the vertices u1, un is n2, and the degree of the remaining n2 vertices is n3. Then, by the Handshaking Lemma, the totality of all degrees of the graph having n vertices is twice the number of edges. That is,

    ni=1d(ui)=2|E|

    so,

    2|E|=2(n2)+(n2)(n3)=2(n2)+(n2)(n3)

    or

    |E|=(n1)(n2)2

    In graph theory, it is very important to find Hamiltonian paths. We can find the condition for n such that the PCSG is Hamiltonian. The following corollary characterizes when a PCSG is Hamiltonian by restricting the number of vertices.

    Corollary 4.5. For n5 PCSG is Hamiltonian.

    Proof. By Theorem 4.3, the vertices u1 and un have degrees n2, and the rest of the vertices have degrees n3. That is, deg(u1) = deg(un) = n2 and deg(u2) = deg(u3) = = deg(un1)=n3. For n6, it can easily be deduced that deg(ui) n2. Then, by sufficient condition, Dirac [8] compels that PCSG is Hamiltonian.

    A graph that has exactly two odd-degree vertices is called a semi-Eulerian graph. The condition for the prime congruence simple graph to be a semi-Eulerian graph is given in the succeeding corollary.

    Corollary 4.6. If n5, then PCSG is semi-Eulerian.

    Proof. For n5, the vertices u1 and un have a degree of n2 and when n is odd, the degree of u1 and un will be odd, and the remaining n2 vertices will have an even degree. So PCSG of odd order is semi-Eulerian.

    Corollary 4.7. The PCSG of order n5 is a closed walk.

    Proof. Suppose a prime congruence simple graph has n vertices u1,u2,u3,,un, where n5. It is sufficient to show that PCSG has no vertex of degree 1. By Theorem 4.3, the degree of vertices u1 and un is n2, and the degree of remaining all vertices is n3. As n5, it is evident that the degree of each vertex is at least 2. Thus, PCSG will contain no vertex of degree 1.

    The following Corollary 4.8 can be proven to be similar to Corollary 4.7.

    Corollary 4.8. For n5, PCSG has no isolated vertex. That is, PCSG is always connected.

    Let G be any graph, and let V be the set of vertices. A subset KV is known as a dominating set if every element of the set VK is adjacent to at least one element of the subset K. If there is no proper subset of K that is a dominating set for G, then the set K is called the minimal dominating set. The order of the minimal dominating sets is known as the domination number of the graph G.

    Corollary 4.9. For n5 the domination number of PCSG is 2.

    Proof. In a prime congruence simple graph of n vertices u1,u2,,un, the vertex ut is not adjacent to ut1 and ut+1. And being a simple graph, ut is also not self adjacent. Thus, the member of every singleton set will not be adjacent to all remaining vertices of the graph. If we choose a set of two consecutive vertices {us,ut} then any other vertex must have a prime multiple deviation with one of the vertices in the set. This means that the remaining vertices of the graph are adjacent to either us or ut with respect to that prime modulus. So the set of any two consecutive vertices {us,ut} will form the smallest dominating set for the prime congruence simple graph G(n,Mp).

    Theorem 4.10. For each PCSG of order n5, ¯G(n,Mp)Pn.

    Proof. Let G(n,Mp) be a prime congruence simple graph of order n. We show that ¯G(n,Mp) is a path graph of order n. In the proof of Theorem 4.3, we have seen that, for n5, a pair of consecutive integers is not adjacent in PCSG. This argument leads us to the fact that consecutive integers are adjacent in the complement graph of PCSG. That is, u1u2u3un forms the complement graph of PCSG. This proves the result.

    Theorem 4.11. The circumference and girth of the PCSG of order n5 are n and 3, respectively.

    Proof. Consider a prime congruence simple graph of order n5. Let {u1,u2,,un} be the set of vertices. An arbitrary vertex ui of the graph is adjacent to the remaining vertices of the graph except ui1 and ui+1. So the length of the smallest cycle in PCSG is 3. Now we have the largest cycle in the PCSG. There are two cases, either n is even or odd.

    Case 1. If n is odd, then u1u3u5unu2u4un1u1 is a required cycle in PCSG that covers all vertices of the graph.

    Case 2. If n is even, then u1u3u5un1u2u4unu1 is a required cycle in PCSG which contains all vertices of the graph.

    Chromatic numbers are among the fundamentals of graph theory. Recall that the chromatic number is the minimum number of colors required to color the graph in such a way that if uvE, then u and v are of different colors. In the following theorem, we find the chromatic number of our proposed graph.

    Theorem 4.12. For n4,

    γ(G(n,Mp))={n2,ifniseven,n+12,ifnisodd.a

    where γ(G(n,Mp)) represents the chromatic number of the prime congruence simple graph.

    Proof. Consider a prime congruence simple graph with n vertices u1,u2,u3,,un where n4. Suppose that the vertex u1 is assigned the color C1. As u1 is not connected to u2 but connected to all other vertices of the graph, u2 can be given the color C1, but none of the remaining vertices can be assigned the color C1. Also, u3 and u4 are not adjacent, so both can be assigned the color C2. Continuing in a similar way reveals that only two vertices, us and ut in the whole graph can have the same color if |usut|=1. So if PCSG has an even number of vertices, then the graph has n2 colors. By a similar argument, if n is odd, then their must be n12 different colors with one vertex left. We assign this vertex a new color. Thus, we need to have n12+1=n+12 different colors.

    For an arbitrary vertex u in G, the maximum distance of the vertex u from all other vertices of the graph G is known as the eccentricity of the u.

    Theorem 4.13. For n5 the eccentricity of every vertex in PCSG is 2.

    Proof. In a prime congruence simple graph of order n5, each vertex utV has an edge with all vertices of the graph except ut1, ut and ut+1. Also by Theorem 4.3, deg(ut)2, n5. Thus, there is no vertex of degree 1 or zero. Now if we denote by dij the distance of the vertices i and j, then we conclude that

    dij={1,if ui is adjacent to uj,2,if ui is not adjacent to uj.a

    Consequently, the largest possible distance between two distinct vertices ui and uj,ij is always 2.

    Corollary 4.14. For n5, each vertex in PCSG is central.

    The diameter of the graph is the maximum possible distance between distinct pairs of vertices. Let di be the farthest distances from a vertex u to all other vertices of a graph, and d be the minimum of all di's. Then d is termed the as radius of the graph G and is denoted by r(G). And the set of all vertices whose eccentricity is a fixed minimum number will form the center of the graph.

    The following observation can be proved easily by using the notion of eccentricity.

    Remark. (a) In PCSG, diameter = radius = 2.

    (b) PCSG is a self-centered graph.

    Theorem 4.15. For each PCSG of order n5, α(G(n,Mp))=2 and β(G(n,Mp))=n2.

    Proof. In PCSG of order n5, every two consecutive vertices us and ut, where |usut|=1, are not adjacent. We claim that the set of vertices {ui,uj} with 1 deviation forms the largest independent set for the PCSG. Consider the set with 3 vertices, u1,u2 and u3. As 31(mod2), u1 and u3 are adjacent, that is, have an edge. A similar result can be proved for any set with more than three vertices. Thus the set of vertices {us,ut} with deviation 1 is the largest independent set. Therefore, α(G(n,Mp))=2. So by Theorem 2.1, β(G(n,Mp))=n2.

    Theorem 4.16. For each PCSG of order n5,

    α1(G(n,Mp))={n2,ifniseven,n12,ifnisodd.a
    β1(G(n,Mp))={n2,ifniseven,n+12,ifnisodd.a

    where α1(G(n,Mp)) and β1(G(n,Mp)) denote the edge independence number and edge covering number of G(n,Mp), respectively; each of these two is computed through edges.

    Proof. In PCSG of order n5, u1 is adjacent to all other vertices except u2. And the vertex u2 is adjacent to all other vertices except u1 and u3. Similarly, u3 is connected to all vertices except u2 and u4, and continuing in the same way, all vertices are connected. Now we want to find a set of independent edges. That is, no pair of edges in a set is adjacent. We construct the desired set in this manner.

    {u1u3,u2u4,u5u7,u6u8,...un3un1,un2unwhere1<i<n.a

    These are n2 in number, if n is even. The other cases can be proved similarly.

    For instance, Figure 4(a) yields that the edges 13, 57, and 24 are independent edges, and these are three in number for n=7. And the edges 13, 57, 24, and 68 are independent, and these are 4 in number for n=8, which is revealed from Figure 4(b).

    Figure 4.  The graph (a) shows that 13, 57, 24 are independent edges for the graph of odd order(n=7). And the graph (b) shows that there are 4 independent edges 13, 57, 24, 68 for prime congruence simple graph of even order (n=8).

    For any graph G, the complete subgraph G1 of the graph G is called the clique of G. The clique number ω(G) is the size of the largest clique in a graph G [7].

    Theorem 4.17. For each PCSG having order n5,

    ω(G(n,Mp))={n2,ifniseven,n+12,ifnisodd.a

    Proof. By definition of PCSG, the vertex u1 is connected to all vertices except the vertices whose absolute deviation from u1 is zero or one. In that case, these vertices cannot define an edge with respect to a prime modulus. Thus, in the vertex set V={ui|ui=i,iN}, all even vertices are connected to each other, as absolute differences are divisible by some prime number. Hence, the set of all even vertices forms a clique. In the same way, the set of all odd integer vertices forms a clique. As the set of vertices V begins with an integer 1, so the number of odd integers is greater or equal to the number of even integers. Consequently, the set of all odd integer vertices will form the largest clique.

    Therefore ω(G(n,Mp))=n2 if n0(mod2) and n+12 if n is n1(mod2).

    Congruence plays a crucial role in geometry and design. Graphs and congruences are highly correlated, as both assist in analyzing objects. The concept of PCSG is instrumental in resolving specific congruence relations.

    Theorem 5.1. For n4 and nZ+, the linear congruence equation,

    (n1)x(n+1)(mod2)

    is solvable, and degn2 in PCSG of order n is a solution. Here, n2 represents the greatest integer less than or equal to n2.

    Proof. In a prime congruence simple graph of order n, the degree of any vertex u is either n2 or n3 by Theorem 4.3. In particular, degn2 is either n2 or n3. But if n4, then degn2, because n2 is neither equal to 1 nor n. We prove that degn2 is the solution of the linear congruence

    (n1)x(n+1)(mod2)

    There are two possibilities: either n is even or odd.

    Case 1. When n is even, then (n1)1(mod2), (n+1)1(mod2), and (n3)1(mod2). This means that (n1)(n3)1(mod2). It is evident that (n1)(n3)(n+1)(mod2). Thus, degn2 is the solution of the linear congruence equation.

    Case 2. When n is odd, then (n1)0(mod2), (n+1)0(mod2) and (n3)0(mod2). Also, (n1)(n3)0(mod2). So, (n1)(n3)(n+1)0(mod2). Thus, degn2 is the solution to the congruence.

    Theorem 5.2. Let n4, nZ+, and of the form 3m or 3m+2. Then, the linear congruence equation,

    (n+2)xn(mod3)

    is solvable, and degn2 in PCSG of order n is the solution. Here, n2 represents the greatest integer less than or equal to n2.

    Proof. In a prime congruence simple graph of order n, the degn2 is n3, as discussed in Theorem 4.3. We prove that degn2 is the solution of the linear congruence,

    (n+2)xn(mod3)

    As n is of the form 3m, or 3m+2, there are two possibilities.

    Case 1. When n is of the form 3m, then (n+2)2(mod3), n0(mod3) and (n3)0(mod3). Being a product of the form 3m+2 and 3m, (n+2)(n3) is of the form 3m. That is, (n+2)(n3)0(mod3). Moreover, (n+2)(n3)n(mod2). Thus, degn2 is the solution.

    Case 2. When n is of the form 3m+2, then (n+2)1(mod3), n2(mod3), and (n3)2(mod3). (n+2)(n3) will be of the form 3m+2, being the product of the forms 3m+1 and 3m+2. That is, (n+2)(n3)2(mod3). Moreover, (n+2)(n3)n(mod3). Thus, degn2 is the solution.

    Theorem 5.3. For each positive integer n4 of the form 3m+1, the linear congruence equation,

    (n1)x(n+2)(mod3)

    is solvable, and degn2 in PCSG of order n is the solution. Here, n2 represents the greatest integer less than or equal to n2.

    Proof. As we have discussed in Theorem 4.3, in a prime congruence simple graph of order n, the degn2 is n3. We prove that degn2 is a solution to the linear congruence

    (n1)x(n+2)(mod3)

    As n is of the form 3m+1, so (n1)0(mod3), (n3)1(mod3), and (n+2)0(mod3). Also, (n1)(n3) is of the form 3m. That is, (n1)(n3)0(mod3). Moreover, (n1)(n3)(n+2)(mod3). Thus, degn2 is the solution.

    In this article, we introduced the notion of prime congruence simple graphs (PCSG). We characterized the class of prime congruence simple graphs and established conditions under which PCSG is a complete graph, a path graph, a disconnected graph, or a connected graph. We also determined the size, eccentricity, diameter, radius, chromatic number, edge covering number, edge independence number, vertex covering number, vertex independence number, and clique number of the graph. Moreover, we proved that the prime congruence simple graph of order n5 is always Hamiltonian and also semi-Eulerian if the order of the graph is odd. We have also examined the enumeration of components of the congruence graph. In the future, we will extend this approach to group theory, ring theory, and different algebraic structures.

    Sufyan Asif: Formal Analysis, Writing original draft; Muhammad Khalid Mahmood: Supervision; Amal S. Alali: Validation; Abdullah A. Zagaan: Validation.

    The authors declare they have not used Artificial Intelligence (AI) tools in the creation of this article.

    The authors extend their appreciation to Princess Nourah bint Abdulrahman University for funding this research under Researchers Supporting Project number (PNURSP2024R231), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.

    The authors declare no conflict of interest.



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