Cover of Protein Chromatography by Giorgio Carta, Alois Jungbauer - Business and Economics Book

From "Protein Chromatography"

Author: Giorgio Carta, Alois Jungbauer
Publisher: John Wiley & Sons
Year: 2020
Category: Science

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Chapter 9: Gradient Elution Chromatography
Key Insight 2 from this chapter

General Theory and Modeling of Gradient Elution with Linear Isotherms

Key Insight

Gradient elution systems involve loading a feed mixture onto a column, then gradually changing the mobile phase composition. This generates both a temporal gradient at the column entrance and an axial gradient along the column length. The axial gradient is crucial, as it leads to band compression, yielding sharper peaks compared to isocratic elution. The underlying theory assumes linear isotherms for both the modifier and feed components, where modifier retention is unaffected by feed components. The model employs characteristic velocities for the modifier (v_cM) and each feed component (v_ci), along with their respective retention factors (kM', kCi').

Mathematical relationships define the modifier concentration and the paths of components through the column. A key parameter, the normalized gradient slope (gamma), is related to the modifier concentration at which a component elutes (C_M,iR) through an integral equation. This framework allows for the prediction of elution times (t_R,i). Notably, retention factors (k') can be determined from a series of gradient elution experiments by evaluating the derivative of gamma with respect to C_M,iR, a method often more reliable than isocratic experiments, especially for proteins.

Band broadening in gradient elution is influenced by peak compression, quantified by the peak compression factor (Cf,i), which ranges from 0 to 1. Steeper temporal gradients induce steeper axial gradients, leading to greater peak compression and lower Cf,i values. Column efficiency (H_i) and resolution (R_s) can be related to band broadening, with R_s being dependent on the gradient slope, which can be adjusted for desired separation. While general theories for non-linear isotherms are complex and often require numerical solutions, empirical models and approximate solutions exist for specific cases, particularly for preparative injections and when isotherms are linear, simplifying practical applications.

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