The Nernst Equation

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electrophysiology ion-channels

Core Idea

The Nernst equation predicts the equilibrium potential for a single ion: V = (RT/zF) × ln([out]/[in]). It quantifies the voltage at which that ion has no net electrochemical drive.

Explainer

From your study of cell membrane structure, you know that the lipid bilayer is selectively permeable — ions can only cross through specific channel proteins, and different ions are distributed unevenly across the membrane. Potassium (K⁺) is concentrated inside the cell, sodium (Na⁺) and calcium (Ca²⁺) are concentrated outside, and chloride (Cl⁻) is mostly extracellular. The Nernst equation answers a deceptively simple question: if the membrane were permeable to only one ion, what voltage would develop across it?

The answer emerges from a tug-of-war between two forces. Consider potassium: because K⁺ is more concentrated inside the cell, there is a concentration gradient driving it outward. But as K⁺ ions leave, they carry positive charge with them, making the inside of the cell progressively more negative. This growing voltage difference creates an electrical gradient that opposes further K⁺ efflux — the negative interior starts pulling positive ions back in. At some voltage, these two forces exactly balance: the concentration gradient pushing K⁺ out equals the electrical gradient pulling it back in. That voltage is the equilibrium potential (E) for potassium, and it is the value the Nernst equation calculates.

The equation itself is E = (RT/zF) × ln([ion]outside/[ion]inside), where R is the gas constant, T is absolute temperature, z is the ion's charge (including sign), and F is Faraday's constant. At body temperature (37°C), this simplifies to approximately E = (61.5 mV / z) × log₁₀([out]/[in]) when using base-10 logarithms. For K⁺ with typical concentrations of 5 mM outside and 140 mM inside, you get E_K ≈ (61.5/1) × log(5/140) ≈ −89 mV. For Na⁺ (145 mM outside, 12 mM inside), E_Na ≈ +67 mV. Notice that the sign of the equilibrium potential depends on which side of the membrane has the higher concentration and on the charge of the ion — this is captured automatically by the math.

The Nernst equation gives you the equilibrium potential for one ion at a time, which is a simplification — real membranes are permeable to multiple ions simultaneously. That is why the resting membrane potential (around −70 mV in a typical neuron) does not exactly equal E_K or E_Na but falls between them, weighted by relative permeabilities. The Goldman equation, which you will encounter next, handles this multi-ion case. But the Nernst equation remains indispensable because it tells you the driving force on any individual ion: the difference between the actual membrane potential and that ion's equilibrium potential (V_m − E_ion). If V_m is more positive than E_K, potassium will flow outward; if V_m is more negative than E_Na, sodium will flow inward. This concept of electrochemical driving force is the foundation for understanding every electrical event in neurons — from resting potentials to action potentials to synaptic currents.

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Prerequisite Chain

Counting to 10Counting to 20Understanding ZeroThe Number ZeroCounting to FiveOne-to-One CorrespondenceCombining Small Groups Within 5Addition Within 10Addition Within 20Two-Digit Addition Without RegroupingTwo-Digit Addition with RegroupingAddition Within 100Repeated Addition as MultiplicationMultiplication Facts Within 100Division as Equal SharingDivision as Grouping (Measurement Division)Division: Grouping (Repeated Subtraction) ModelDivision: Fair Sharing ModelDivision as Equal SharingDivision as GroupingBasic Division FactsDivision Facts Within 100Two-Digit by One-Digit DivisionDivision with RemaindersRemainders and Quotients in DivisionDivision Word ProblemsIntroduction to Long DivisionFactors and MultiplesPrime and Composite NumbersEquivalent FractionsRelating Fractions and DecimalsDecimal Place ValueReading and Writing DecimalsComparing and Ordering DecimalsAdding and Subtracting DecimalsMultiplying DecimalsDividing DecimalsDividing FractionsMixed Number ArithmeticOrder of OperationsInteger Order of OperationsVariable ExpressionsCombining Like TermsOne-Step EquationsTwo-Step EquationsSolving Multi-Step EquationsEquations with Variables on Both SidesAngle Pairs: Complementary, Supplementary, and VerticalParallel Lines and TransversalsCorresponding AnglesAlternate Interior AnglesTriangle Angle Sum TheoremExterior Angle TheoremTriangle Inequality TheoremSimilar Triangles: AA SimilaritySimilar Triangles: SSS and SAS SimilarityProportions in Similar TrianglesRight Triangle Trigonometry IntroductionTrigonometric Ratios ReviewRadian MeasureConverting Between Degrees and RadiansThe Unit CircleGraphing Sine and CosineGraphing Tangent and Reciprocal Trigonometric FunctionsDerivatives of Trigonometric FunctionsAntiderivativesIterated Integrals and Fubini's TheoremDouble Integrals in Cartesian CoordinatesDouble Integrals over Rectangular RegionsDouble Integrals in Polar CoordinatesDouble Integrals: Definition and SetupIterated Integrals and Fubini's TheoremDouble Integrals over Rectangular RegionsDouble Integrals over General RegionsApplications of Double Integrals: Area, Mass, and MomentsTriple Integrals in Cartesian CoordinatesTriple Integrals in Cylindrical and Spherical CoordinatesChange of Variables and the Jacobian DeterminantApplications of Triple Integrals: Volume and MassVector Fields and Their RepresentationsLine Integrals of Vector FieldsGreen's TheoremSurface Integrals and Flux of Vector FieldsSurface Integrals and Flux of Vector FieldsDivergence Theorem: Flux and OutflowDivergence TheoremElectric FluxGauss's LawConductors in Electrostatic EquilibriumCapacitance and CapacitorsDielectricsDielectric Constant and Relative PermittivityElectric Field Inside Dielectric MaterialsDielectric Materials and PolarizationDielectric Susceptibility and PermittivityEnergy Density in Electric FieldsElectric Current and Current DensityElectrical Resistance and ResistivityOhm's Law and Circuit ElementsElectromotive Force (EMF) and BatteriesKirchhoff's Circuit Laws: Voltage and CurrentDC Circuit Network Analysis MethodsTransient Response in RC CircuitsRC CircuitsLC and RLC CircuitsAC Circuits: FundamentalsImpedance and ReactanceAC Power and ResonanceElectromagnetic WavesThe Electromagnetic SpectrumBlackbody Radiation and Planck's LawPhotoelectric EffectThe Photon: Light as QuantaCompton ScatteringWave-Particle Dualityde Broglie WavelengthHeisenberg Uncertainty PrincipleWavefunction and the Born RuleThe Schrödinger EquationState Vectors and WavefunctionsQuantum SuperpositionQuantum EntanglementBell Theorem and Bell InequalitiesPostulates of Quantum MechanicsScattering TheoryIntroduction to Scattering TheoryPartial Wave Analysis in ScatteringSpin Angular MomentumElectron Spin and Intrinsic Magnetic MomentStern-Gerlach Experiment: Spin Quantization and MeasurementElectron Diffraction and Matter Wave PropertiesDavisson-Germer Experiment: Crystal Diffraction of ElectronsElectron Diffraction and Matter Wave InterferenceWavefunctions and Probability Density InterpretationQuantum Superposition and Linear Combinations of StatesQuantum Operators and ObservablesCanonical Commutation Relations and UncertaintyHeisenberg Uncertainty Principle and Measurement LimitsTime-Independent Schrödinger Equation and EigenvaluesHydrogen Atom in Quantum MechanicsSpectral Lines and Energy TransitionsSelection Rules for Atomic TransitionsLS and jj Coupling Schemes in Multi-Electron AtomsPauli Exclusion Principle and Antisymmetric WavefunctionsElectron Configuration and the Aufbau PrincipleThe Periodic Table and Atomic Electronic StructureThe Periodic TableElectron ConfigurationPeriodic TrendsIonization EnergyIonic BondingLewis StructuresResonance Structures and Delocalized ElectronsResonance and Formal ChargeMolecular Polarity and Dipole MomentsIntermolecular ForcesCell Membrane StructurePassive TransportActive TransportCell Signaling and Signal TransductionThe Nernst Equation

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