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:
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)
Discussion & Comments