The partition coefficient (P) or distribution coefficient (D) is essentially defined as the ratio of concentrations of an organic solute in two immiscible solvents (usually water, and a hydrophobic organic solvent such as ethyl acetate or octanol) in a liquid biphase at equilibrium, as mentioned by (Speight, 2017), and provides a numerical illustration into the lipophilicity of the molecule being tested. Lipophilicity is an important physicochemical property that needs to be tested for any potential new drug and, as both (Stolerman, 2010) and (Kerns EH., Di L, 2008) [1] state, is essentially how much an organic compound tends to partition into a non-polar medium compared to an aqueous medium. However, the key difference between these two concepts is that logP (the logarithm of the partition coefficient) is only true for compounds that cannot ionise, whereas both (Scherrer and Howard, 1977) and (Ahuja and Dong, 2005) mention that logD (the logarithm of the distribution coefficient) accounts for both the un-ionised and ionised forms (at a specified pH) in the aqueous layer while the organic layer consists of only the unionised form of the compound. This means that the pH of the aqueous layer therefore impacts LogD (Reijenga et al., 2013) [1] (termed the pH partition hypothesis), which is buffered with the sole purpose of preserving it at a selected pH value so as to not substantially alter the solution's ambient pH when a compound is added to it (Wang et al., 2017) [1]. LogD is therefore the more useful analysis tool of the two because the pH of the solution is taken into account so is a vital component in the evaluation of how a drug behaves in different biological environments that have different pH values, which allows it to be used in the investigation as to how drugs distribute between different environments in the body.

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Chapter1: Chemical Foundations
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