Difficulty: Easy
Correct Answer: both(a) & (b)
Explanation:
Introduction / Context:The Nernst distribution law governs how a solute partitions between two immiscible solvents. This partition ratio, or distribution coefficient, is fundamental for designing extraction stages and predicting required solvent rates.
Given Data / Assumptions:
Concept / Approach:For truly dilute, non-associating systems, the distribution coefficient can be nearly constant, but in real systems it is affected by solute concentration (non-ideal activity effects, dimerization/association) and temperature (changes in solubility parameters and activity coefficients). Therefore, both temperature and concentration influence K_D to varying degrees, and extraction data are typically reported as a function of both variables.
Step-by-Step Solution:
Define K_D = C_solute,phase1 / C_solute,phase2 at equilibrium.Recognize activity-coefficient dependence: γ(T, x) changes with composition and temperature.Conclude that both concentration and temperature affect K_D.Select the combined option acknowledging both influences.Verification / Alternative check:Tie-line data in ternary diagrams show K_D varying with composition and shifting with temperature, corroborating the dependence.
Why Other Options Are Wrong:
Common Pitfalls:Assuming K_D constant over wide ranges; this can mispredict stage counts. Always consult phase-equilibrium data at the operating temperature and composition.
Final Answer:both(a) & (b)
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