Abstract
The second-most significant category of colorants is phthalocyanines, and copper phthalocyanine is the single colorant with the highest sales volume. Phthalocyanine colorants have historically been used as blue and green pigments for printing inks and automobile paints as well as blue/cyan dyes for textiles and paper. To determine how complex the underlying graph was, we employed Shannon’s information entropy. Certain degree-based entropies derived from topological indices were estimated. Curve fitting between calculated information entropies and Heat of formation was combined with the numerical and graphical representation of computed results. The Fe Phthalocyanine is based on topological indices, which give a comprehensive picture of potentially significant aspects that could be useful in structurally changing (FePc) for particular applications.
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