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7.2 Adsorption and Chromatography

3 min readjuly 22, 2024

Adsorption and chromatography are powerful separation techniques in chemical engineering. They rely on molecules sticking to surfaces or between phases. Understanding these processes is crucial for designing efficient separation systems in various industries.

Key factors in adsorption include equilibrium, kinetics, and system design. Chromatography involves stationary and mobile phases, with data interpretation focusing on retention times and peak analysis. These methods are vital for environmental, pharmaceutical, and forensic applications.

Fundamentals of Adsorption and Chromatography

Principles of adsorption and chromatography

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  • Adsorption involves adhesion of molecules from a gas or liquid to a surface
    • Physical adsorption () occurs through weak van der Waals forces (dipole-dipole interactions)
    • Chemical adsorption () involves strong chemical bonds (covalent bonding)
  • Adsorbent is a solid material with a high surface area that adsorbs molecules (, )
  • Adsorbate refers to the molecules that are adsorbed onto the adsorbent surface (organic compounds, heavy metals)
  • Chromatography separates components based on their differential partitioning between a stationary phase and a mobile phase
    • Stationary phase can be a solid or liquid fixed in a or on a surface (, C18 bonded phase)
    • Mobile phase is a gas or liquid that carries the sample through the stationary phase (helium, acetonitrile)
  • represents the time taken for a specific component to pass through the chromatographic system
  • Resolution measures the ability of the chromatographic system to separate components (baseline separation, peak overlap)

Factors in adsorption processes

  • Adsorption equilibrium describes the relationship between the amount of adsorbate adsorbed and its equilibrium concentration at a constant temperature
    • assumes monolayer adsorption and uniform binding sites, expressed as qqm=KLC1+KLC\frac{q}{q_m} = \frac{K_LC}{1 + K_LC}
    • is an empirical model for heterogeneous surfaces, expressed as q=KFC1/nq = K_FC^{1/n}
  • Factors affecting adsorption equilibrium include temperature (higher temperatures decrease adsorption capacity), pressure (higher pressures increase adsorption capacity for gases), adsorbent properties (surface area, pore size), and adsorbate properties (molecular size, polarity)
  • involves rate-limiting steps such as , pore diffusion, and surface reaction
    • Pseudo-first-order kinetic model: dqdt=k1(qeq)\frac{dq}{dt} = k_1(q_e - q)
    • Pseudo-second-order kinetic model: dqdt=k2(qeq)2\frac{dq}{dt} = k_2(q_e - q)^2
  • Factors affecting adsorption kinetics include adsorbent particle size (smaller particles lead to faster kinetics), mixing conditions (better mixing enhances mass transfer), and temperature (higher temperatures increase diffusion rates)

Design of separation systems

  • Adsorption systems can be designed as batch adsorption (adsorbent mixed with solution and then separated) or fixed-bed adsorption (solution passes through a column packed with adsorbent)
    • Breakthrough curve plots effluent concentration vs. time or volume in fixed-bed adsorption
    • Bed capacity represents the amount of adsorbate adsorbed per unit mass of adsorbent
  • Regeneration involves removing adsorbed molecules and reusing the adsorbent through thermal regeneration (heating) or chemical regeneration (solvents or pH changes)
  • Chromatography systems include column chromatography (stationary phase packed in a column), thin-layer chromatography (TLC, stationary phase coated on a flat surface), high-performance (HPLC, high-pressure system), and (GC, gas mobile phase for volatile compounds)
  • Optimization of adsorption and chromatography systems involves defining objective functions (maximize yield, purity, or throughput; minimize cost or energy), adjusting process variables (flow rate, column dimensions, temperature, pressure), and using experimental design techniques (factorial designs, response surface methodology, optimization algorithms)

Interpretation of chromatographic data

  • Chromatogram interpretation involves analyzing (identifies specific components), peak area or height (quantifies the amount of each component), and resolution (measures separation between adjacent peaks)
    • Resolution is calculated as Rs=2(tr2tr1)w1+w2R_s = \frac{2(t_{r2} - t_{r1})}{w_1 + w_2}, where trt_r is the retention time and ww is the peak width
    • Selectivity factor is the ratio of the retention factors of two components, expressed as α=k2k1\alpha = \frac{k_2}{k_1}
  • Chromatography can be applied to real-world problems such as environmental analysis (monitoring pollutants), pharmaceutical analysis (quality control and drug discovery), food and beverage analysis (detecting contaminants), forensic analysis (identifying substances in criminal investigations), and biomedical research (separating and purifying biomolecules like proteins and nucleic acids)
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© 2024 Fiveable Inc. All rights reserved.
AP® and SAT® are trademarks registered by the College Board, which is not affiliated with, and does not endorse this website.

© 2024 Fiveable Inc. All rights reserved.
AP® and SAT® are trademarks registered by the College Board, which is not affiliated with, and does not endorse this website.
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