Mathematical treatment using spectrophotometry to determine the unknown concentration of a random solution

Abstract

Concentration is one of the primitive aspects of chemistry, which describes the extent of the abundance of a solute in a given solution. Determining the concentration of a solution that does not has a chemical formula and with unknown molecular weight is one of the difficult topics. In this study, we have analyzed the concentration of such solutions using comprehensive mathematics along with Beer-Lambert law for the UV spectrophotometer results. Experimental studies were conducted using the standard solutions of Biochar, Coir, Wood bark, and Sawdust prepared by mixing the raw substrates with water at a 1:2 ratio. The solutions were prepared using the specimens extracted from the same Coccus Nucifera tree to verify that the prepared concentrations of solutions would be in the same range since each of them contains a similar type of organic content. The objective of the study has been achieved by proving that the concentration found using this novel approach for each specimen are almost equal since the specimens are from the same origin. A comprehensive understanding of finite integrals is compulsory to get proficiency with this method. Furthermore, this approach can be successfully used to find the concentration of any random solutions such as to find the concentration of a cup of morning coffee. The benefits of this novel model have vast scientific scopes in the future at resolving several queries related to medical, commercial, scientific, and industrial issues related to the concentration of solutions.