Arockiaraj Micheal, Celin Fiona J, Abraham Jessie, Klavžar Sandi, Balasubramanian Krishnan
Department of Mathematics, Loyola College, Chennai 600034, India.
Department of Mathematics, KCG College of Technology, Chennai 600097, India.
Heliyon. 2024 Jan 19;10(3):e24814. doi: 10.1016/j.heliyon.2024.e24814. eCollection 2024 Feb 15.
Supramolecular chemistry explores non-covalent interactions between molecules, and it has facilitated the design of functional materials and understanding of molecular self-assembly processes. We investigate a captivating class of supramolecular structures, the guanidinium and hydrogen carbonate rosette layers. These rosette layers are composed of guanidinium cations and carbonate anions, exhibiting intricate hydrogen-bonding networks that lead to their unique structural properties. Topological and entropy indices unveil the connectivity and complexity of the structures, providing valuable insights for diverse applications. We have developed the cut method technique to deconstruct the guanidinium and hydrogen carbonate rosette layers into smaller components and obtain the distance, Szeged-type and entropy measures. Subsequently, we conducted a comparative analysis between topological indices and entropies which contributes to a deeper understanding of the structural complexity of these intriguing supramolecular systems. We have derived the degree based topological indices and entropies of the underlying rosette layers. Furthermore, our computations reveal several isentropic structures associated with degree and entropy indices. We have employed distance vector sequence-based graph theoretical techniques in conjunction with symmetry-based combinatorial methods to enumerate and construct the various NMR spectral patterns which are demonstrated to contrast the isomers and networks of the rosettes.
超分子化学探索分子间的非共价相互作用,它推动了功能材料的设计以及对分子自组装过程的理解。我们研究了一类引人入胜的超分子结构,即胍鎓和碳酸氢盐玫瑰花结层。这些玫瑰花结层由胍鎓阳离子和碳酸根阴离子组成,展现出复杂的氢键网络,从而赋予其独特的结构特性。拓扑和熵指数揭示了结构的连通性和复杂性,为各种应用提供了有价值的见解。我们开发了切割方法技术,将胍鎓和碳酸氢盐玫瑰花结层解构为更小的组分,并获得距离、塞格德型和熵度量。随后,我们对拓扑指数和熵进行了比较分析,这有助于更深入地理解这些有趣的超分子体系的结构复杂性。我们推导了基础玫瑰花结层基于度的拓扑指数和熵。此外,我们的计算揭示了几个与度和熵指数相关的等熵结构。我们结合基于距离向量序列的图论技术和基于对称性的组合方法,来枚举和构建各种核磁共振光谱模式,这些模式被证明可区分玫瑰花结的异构体和网络。