ABSTRACT

Background- The ratio of a compound's equilibrium concentrations in a mixture of two immiscible liquids is known as the partition coefficient (P). This ratio therefore compares the solute's solubility in each of these two liquids. The partition coefficient is a term that describes the concentration ratio of unionised chemical species. The aim of this study is to have a better understanding of sitagliptine's (SGP) molecular behavior. In the current work, the logP of sitagliptine were considered experimentally beyond compare. LogP is the main physiochemical variable employed in drug improvement. Methods-For determination of Partition Co-efficient of sitagliptine, the following steps are to be followed, At first, separating funnel (250ml) was cleaned and dried properly and labeled it.100 ml of n-Octanol, 100 ml of distilled water and 100mg of standard drug (sitagliptine) were transferred into the separating funnel. Separating funnel was shacked properly by shaking (shake flax method) for 2hrs intermittently 15minutes. Then this solution was stand for 24 hours for separating the aqueous and organic layers. Aqueous layer was separated out from organic layersafter 24 hrs in the two different beakers. The absorbance values were measured in two different medium i.e. organic and aqueous layers at two different wavelengths with the help of UV-visible spectrophotometer. Then these values were used for calculating the partition coefficient. Result- According to our research, sitagliptine has logP value of 1.45, which were calculated from our experiments. Conclusion- We performed this experiment in order to gain insights about the molecular behavior of Sitagliptine (SGP). In the present study log P of Sitagliptine was calculated experimentally for the first time. log P is the main important physicochemical parameter helpful in drug development. We concluded our study of sitagliptine log P value to be 1.45 as calculated from our experiments. Keywords: Sitagliptine, Calibration Curve, Standard Stock Solution, Partition coefficient
Publication date: 01/12/2023

https://ijbpas.com/pdf/2023/December/MS_IJBPAS_2023_7622.pdf

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https://doi.org/10.31032/IJBPAS/2023/12.12.7622