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🍳Separation Processes

Key Concepts of Adsorption Isotherms

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Why This Matters

Adsorption isotherms are the mathematical backbone of separation processes—they tell you how much of a substance will stick to a surface under specific conditions. When you're designing systems for water purification, gas separation, or catalyst optimization, you need to predict adsorption behavior accurately. The isotherm you choose determines whether your model reflects reality or leads you astray. You're being tested on your ability to match the right isotherm to the right system: homogeneous vs. heterogeneous surfaces, monolayer vs. multilayer coverage, ideal vs. non-ideal behavior.

Each isotherm encodes assumptions about surface chemistry, molecular interactions, and thermodynamic conditions. Understanding these assumptions is what separates students who can solve problems from those who just plug numbers into equations. Don't just memorize the formulas—know what physical situation each isotherm describes and when it breaks down.


Ideal Monolayer Models

These isotherms assume adsorption occurs in a single layer on uniform surfaces. They work best when surface sites are identical and adsorbate molecules don't interact with each other. The key mechanism is competitive occupation of finite, equivalent binding sites.

Langmuir Isotherm

  • Monolayer adsorption on identical sites—assumes a finite number of equivalent binding locations with no adsorbate-adsorbate interactions
  • Key parameters: QmaxQ_{max} and KLK_L—maximum capacity and binding affinity constant, respectively
  • Best for homogeneous surfaces—works well when all adsorption sites have the same energy, making it the starting point for most adsorption modeling

Henry's Law Isotherm

  • Linear relationship at low concentrations—describes the regime where adsorbate behaves ideally and surface coverage is minimal
  • Characterized by Henry's constant KHK_H—relates gas-phase partial pressure to liquid-phase concentration
  • Foundation for gas-liquid separation design—essential for understanding dilute systems in absorption columns and membrane processes

Linear Isotherm

  • Direct proportionality between adsorbate amount and concentration—the simplest possible model with a single constant KK
  • First approximation for weak adsorption—useful when interactions are minimal or as a baseline comparison
  • Limited practical range—only valid at very low concentrations where surface coverage is negligible

Compare: Langmuir vs. Henry's Law—both assume ideal behavior, but Langmuir accounts for surface saturation while Henry's Law applies only in the linear, low-coverage regime. If an exam asks about "dilute conditions," think Henry's Law; if it mentions "saturation," think Langmuir.


Heterogeneous Surface Models

Real surfaces rarely have uniform binding sites. These isotherms account for varying adsorption energies across the surface, making them essential for modeling activated carbon, natural minerals, and industrial adsorbents.

Freundlich Isotherm

  • Empirical model for heterogeneous surfaces—captures varying site affinities through a logarithmic relationship
  • Parameters KfK_f and nn—adsorption capacity and intensity constants; n>1n > 1 indicates favorable adsorption
  • No saturation limit—unlike Langmuir, doesn't predict a maximum capacity, limiting its use at high concentrations

Temkin Isotherm

  • Heat of adsorption decreases linearly with coverage—explicitly models adsorbate-adsorbate repulsion effects
  • Constants BB and KTK_T—relate to adsorption heat and equilibrium binding, respectively
  • Ideal for chemisorption studies—where molecular interactions significantly affect binding energetics

Toth Isotherm

  • Modified Langmuir for heterogeneous sites—adds a heterogeneity parameter to account for non-uniform pore sizes
  • Asymmetric adsorption behavior—better captures real systems where site energies follow a skewed distribution
  • Common in catalyst and porous material characterization—frequently applied to zeolites and structured adsorbents

Compare: Freundlich vs. Temkin—both handle heterogeneous surfaces, but Freundlich is purely empirical while Temkin provides mechanistic insight into why adsorption energy varies (adsorbate interactions). FRQs asking about "interaction effects" point toward Temkin.


Multilayer Adsorption Models

When adsorbate molecules stack on top of each other, monolayer models fail. These isotherms describe layer-by-layer buildup, critical for porous materials and surface area measurements.

Brunauer-Emmett-Teller (BET) Isotherm

  • Extends Langmuir to multilayer adsorption—assumes each layer follows Langmuir kinetics independently
  • BET constant CC reflects adsorption energy—higher values indicate stronger first-layer binding relative to subsequent layers
  • Standard method for surface area determination—the go-to technique for characterizing porous materials like activated carbon and silica gels

Dubinin-Radushkevich Isotherm

  • Focuses on micropore filling mechanism—models adsorption as pore volume filling rather than surface coverage
  • Parameters β\beta and QmQ_m—adsorption potential constant and maximum micropore capacity
  • Distinguishes physisorption from chemisorption—the mean adsorption energy calculated from β\beta indicates bonding type

Compare: BET vs. Dubinin-Radushkevich—BET treats multilayer formation on open surfaces, while D-R specifically addresses micropore filling. For surface area calculations, use BET; for activated carbon pore characterization, use D-R.


Hybrid and Flexible Models

Some systems don't fit neatly into one category. These isotherms combine features of simpler models, offering mathematical flexibility at the cost of additional parameters.

Sips Isotherm

  • Combines Langmuir and Freundlich features—reduces to Langmuir at low concentrations and Freundlich at high concentrations
  • Three parameters: QmaxQ_{max}, KSK_S, and nn—provides flexibility for heterogeneous surfaces with saturation behavior
  • Ideal for environmental applications—commonly used in wastewater treatment modeling where simple isotherms fail

Redlich-Peterson Isotherm

  • Three-parameter hybrid model—parameters AA, BB, and gg allow interpolation between Langmuir (g=1g = 1) and Freundlich (g=0g = 0)
  • Wide concentration applicability—handles both dilute and concentrated systems effectively
  • Workhorse for complex industrial systems—frequently appears in adsorption column design and environmental remediation studies

Compare: Sips vs. Redlich-Peterson—both are three-parameter hybrids, but Sips explicitly includes a saturation capacity while Redlich-Peterson offers more flexibility in the functional form. When fitting experimental data, try both and compare regression quality.


Quick Reference Table

ConceptBest Examples
Homogeneous monolayer adsorptionLangmuir, Linear
Dilute/ideal conditionsHenry's Law, Linear
Heterogeneous surfacesFreundlich, Temkin, Toth
Multilayer adsorptionBET, Freundlich
Micropore fillingDubinin-Radushkevich
Adsorbate-adsorbate interactionsTemkin
Surface area measurementBET
Flexible/hybrid modelingSips, Redlich-Peterson

Self-Check Questions

  1. Which two isotherms both assume monolayer adsorption but differ in their treatment of surface heterogeneity? What parameter in one of them accounts for this difference?

  2. You're characterizing the surface area of a new activated carbon sample. Which isotherm would you use, and why wouldn't the Langmuir isotherm be sufficient?

  3. Compare and contrast the Freundlich and Temkin isotherms: What physical assumption about adsorbate interactions distinguishes them?

  4. An FRQ describes a system where adsorption follows a linear trend at low concentrations but saturates at high concentrations. Which hybrid isotherm would best model this behavior, and what limiting cases does it reduce to?

  5. You calculate a mean adsorption energy of 12 kJ/mol from a Dubinin-Radushkevich fit. What does this value suggest about the type of adsorption occurring—physisorption or chemisorption?