Why This Matters
Electrochemistry sits at the intersection of thermodynamics, kinetics, and transport phenomena—three pillars you'll be tested on repeatedly in Physical Chemistry II. These equations aren't just formulas to memorize; they're tools that let you predict whether a reaction will happen spontaneously, how fast electrons will flow, and what limits the rate of an electrochemical process. Mastering these relationships means you can tackle everything from battery design to corrosion analysis to biosensor development.
Here's what examiners are really testing: Can you connect cell potential to spontaneity? Do you understand when kinetics (Butler-Volmer, Tafel) versus mass transport (Fick, Cottrell, Levich) controls the current? Can you move between equilibrium descriptions and dynamic behavior? Don't just memorize these equations—know which concept each one illustrates and when to apply it.
Thermodynamic Foundations
These equations establish the energetic framework for electrochemistry. They tell you whether a reaction can happen and how much work it can perform—before you worry about how fast it goes.
Gibbs Free Energy and Cell Potential Relationship
- ΔG=−nFE connects thermodynamics to electrochemistry—negative ΔG means spontaneous reaction, which corresponds to positive cell potential
- Faraday's constant (F=96,485 C/mol) converts between electrical and chemical energy; n represents moles of electrons transferred
- Spontaneity criterion—this equation is your go-to for determining reaction feasibility and calculating maximum electrical work
Standard Reduction Potentials
- Standard conditions define the reference point—1 M concentration, 1 atm pressure, 25°C (298 K)—for all tabulated E° values
- More positive E° indicates stronger oxidizing agent; the species has greater electron affinity and is more easily reduced
- Cell potential calculation—combine half-reactions using E°cell=E°cathode−E°anode to predict spontaneous direction
Nernst Equation
- E=E°−nFRTlnQ adjusts cell potential for non-standard concentrations—at 25°C, this simplifies to E=E°−n0.0592logQ
- Reaction quotient (Q) drives the deviation from standard potential; as Q increases, E decreases for a reduction reaction
- Equilibrium connection—when E=0, the system is at equilibrium and Q=K, linking electrochemistry to equilibrium constants
Compare: Gibbs-cell potential relationship vs. Nernst equation—both connect thermodynamics to electrochemistry, but ΔG=−nFE gives you total energy while Nernst shows how potential shifts with concentration. If an FRQ asks about concentration effects on a battery, reach for Nernst.
Electrode Kinetics
Once thermodynamics says a reaction can happen, kinetics determines how fast. These equations describe current as a function of the driving force (overpotential) at the electrode surface.
Butler-Volmer Equation
- j=j0[exp(RTαaFη)−exp(RT−αcFη)] is the master equation for electrode kinetics, relating current density to overpotential η
- Exchange current density (j0) measures intrinsic reaction speed at equilibrium—higher j0 means faster kinetics and smaller overpotential needed
- Transfer coefficients (αa, αc) describe symmetry of the activation barrier; typically αa+αc≈1 for single-electron transfers
Tafel Equation
- η=a+blogj simplifies Butler-Volmer at high overpotentials—when one exponential term dominates, the relationship becomes linear in log(current)
- Tafel slope (b) reveals mechanistic information; b=αnF2.303RT connects directly to the transfer coefficient
- Activation energy estimation—plotting η vs. logj (Tafel plot) extracts kinetic parameters essential for comparing electrocatalysts
Compare: Butler-Volmer vs. Tafel—Butler-Volmer is exact but complex; Tafel is the high-overpotential approximation that gives you linear plots. Use Butler-Volmer near equilibrium, Tafel when ∣η∣>100 mV. Exam questions often ask when each applies.
Mass Transport
When electrode kinetics are fast, diffusion of reactants to the surface becomes rate-limiting. These equations describe how concentration gradients drive mass transport and limit current.
Fick's Laws of Diffusion
- First law: J=−DdxdC—flux is proportional to concentration gradient; the negative sign indicates flow from high to low concentration
- Second law: ∂t∂C=D∂x2∂2C—describes how concentration profiles evolve over time due to diffusion
- Diffusion coefficient (D) is the key transport parameter; typical values are 10−5 to 10−6 cm²/s for small molecules in solution
Cottrell Equation
- I(t)=π1/2t1/2nFAD1/2C predicts current decay after a potential step—current decreases as t−1/2 as the diffusion layer grows
- Chronoamperometry analysis—plotting I vs. t−1/2 should give a straight line; deviations indicate kinetic limitations or convection
- Diffusion coefficient determination—rearranging Cottrell lets you extract D from transient current measurements
Compare: Fick's first law vs. Cottrell equation—Fick gives the general principle (flux ∝ gradient), while Cottrell applies it specifically to potential-step experiments. Cottrell is what you use when analyzing chronoamperometry data.
Convective-Diffusion Systems
When you add controlled convection (stirring, rotation), mass transport becomes more predictable. These equations describe steady-state limiting currents under well-defined hydrodynamic conditions.
Levich Equation
- Ilim=0.62nFAD2/3ω1/2ν−1/6C gives the limiting current at a rotating disk electrode—current increases with rotation rate ω
- Kinematic viscosity (ν) accounts for solution properties; the ω1/2 dependence is diagnostic of diffusion-limited behavior
- Koutecký-Levich analysis—plotting 1/I vs. 1/ω1/2 separates kinetic and mass-transport contributions
Randles-Sevcik Equation
- Ip=(2.69×105)n3/2AD1/2Cν1/2 relates peak current in cyclic voltammetry to scan rate ν—the ν1/2 dependence confirms diffusion control
- Reversibility diagnostic—for a reversible system, peak current scales linearly with ν1/2; deviations suggest kinetic complications
- Concentration determination—once D is known, this equation lets you quantify unknown concentrations from CV peak heights
Compare: Levich vs. Randles-Sevcik—both describe diffusion-limited currents, but Levich applies to steady-state rotating electrodes (ω1/2 dependence) while Randles-Sevcik applies to transient cyclic voltammetry (ν1/2 dependence). Know which technique matches which equation.
Electrolysis Quantification
Faraday's laws bridge electrical measurements to chemical amounts. They're the foundation for all quantitative electrochemistry—how much charge produces how much product.
Faraday's Laws of Electrolysis
- First law—mass deposited (m) is proportional to charge passed: m=nFQM, where Q is total charge and M is molar mass
- Second law—same charge deposits different masses of different substances in proportion to their equivalent weights (M/n)
- Coulometry applications—integrating current over time gives total charge, enabling precise determination of amount of substance transformed
Compare: Faraday's laws vs. Nernst equation—Faraday tells you how much (stoichiometry), Nernst tells you at what potential (thermodynamics). Both use n and F, but they answer fundamentally different questions.
Quick Reference Table
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| Thermodynamic spontaneity | ΔG=−nFE, Standard reduction potentials |
| Concentration dependence | Nernst equation |
| Electrode kinetics | Butler-Volmer equation, Tafel equation |
| Diffusion fundamentals | Fick's first and second laws |
| Transient response | Cottrell equation |
| Steady-state mass transport | Levich equation |
| Cyclic voltammetry analysis | Randles-Sevcik equation |
| Charge-mass relationships | Faraday's laws of electrolysis |
Self-Check Questions
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Which two equations both contain Faraday's constant (F) but describe fundamentally different aspects of electrochemistry—one thermodynamic, one kinetic?
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You observe that current decays as t−1/2 after stepping the potential. Which equation describes this behavior, and what does it tell you about the rate-limiting process?
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Compare and contrast the Levich and Randles-Sevcik equations: What experimental technique does each describe, and what does the characteristic exponent (ω1/2 vs. ν1/2) indicate?
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An FRQ gives you a cell at non-standard conditions and asks whether the reaction is spontaneous. Which equation do you use first, and how does it connect to ΔG?
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Under what conditions does the Butler-Volmer equation simplify to the Tafel equation, and why is this simplification useful for analyzing experimental data?