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Steady state (chemistry)
Steady state (chemistry)
from Wikipedia

In chemistry, a steady state is a situation in which all state variables are constant in spite of ongoing processes that strive to change them. For an entire system to be at steady state, i.e. for all state variables of a system to be constant, there must be a flow through the system (compare mass balance). A simple example of such a system is the case of a bathtub with the tap running but with the drain unplugged: after a certain time, the water flows in and out at the same rate, so the water level (the state variable Volume) stabilizes and the system is in a steady state.

The steady state concept is different from chemical equilibrium. Although both may create a situation where a concentration does not change, in a system at chemical equilibrium, the net reaction rate is zero (products transform into reactants at the same rate as reactants transform into products), while no such limitation exists in the steady state concept. Indeed, there does not have to be a reaction at all for a steady state to develop.

The term steady state is also used to describe a situation where some, but not all, of the state variables of a system are constant. For such a steady state to develop, the system does not have to be a flow system. Therefore, such a steady state can develop in a closed system where a series of chemical reactions take place. Literature in chemical kinetics usually refers to this case, calling it steady state approximation.

In simple systems the steady state is approached by state variables gradually decreasing or increasing until they reach their steady state value. In more complex systems state variables might fluctuate around the theoretical steady state either forever (a limit cycle) or gradually coming closer and closer. It theoretically takes an infinite time to reach steady state, just as it takes an infinite time to reach chemical equilibrium.

Both concepts are, however, frequently used approximations because of the substantial mathematical simplifications these concepts offer. Whether or not these concepts can be used depends on the error the underlying assumptions introduce. So, even though a steady state, from a theoretical point of view, requires constant drivers (e.g. constant inflow rate and constant concentrations in the inflow), the error introduced by assuming steady state for a system with non-constant drivers may be negligible if the steady state is approached fast enough (relatively speaking).

Steady state approximation in chemical kinetics

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The steady state approximation,[1] occasionally called the stationary-state approximation or Bodenstein's quasi-steady state approximation, involves setting the rate of change of a reaction intermediate in a reaction mechanism equal to zero so that the kinetic equations can be simplified by setting the rate of formation of the intermediate equal to the rate of its destruction.

In practice it is sufficient that the rates of formation and destruction are approximately equal, which means that the net rate of variation of the concentration of the intermediate is small compared to the formation and destruction, and the concentration of the intermediate varies only slowly, similar to the reactants and products (see the equations and the green traces in the figures below).[citation needed]

Its use facilitates the resolution of the differential equations that arise from rate equations, which lack an analytical solution for most mechanisms beyond the simplest ones. The steady state approximation is applied, for example, in Michaelis-Menten kinetics.

As an example, the steady state approximation will be applied to two consecutive, irreversible, homogeneous first order reactions in a closed system. (For heterogeneous reactions, see reactions on surfaces.) This model corresponds, for example, to a series of nuclear decompositions like 239U → 239Np → 239Pu.

If the rate constants for the following reaction are k1 and k2; A → B → C, combining the rate equations with a mass balance for the system yields three coupled differential equations:

Reaction rates

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For species A:

For species B:

Here the first (positive) term represents the formation of B by the first step A → B, whose rate depends on the initial reactant A. The second (negative) term represents the consumption of B by the second step B → C, whose rate depends on B as the reactant in that step.

For species C:

Analytical solutions

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The analytical solutions for these equations (supposing that initial concentrations of every substance except for A are zero) are:[2]

Steady state

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If the steady state approximation is applied, then the derivative of the concentration of the intermediate is set to zero. This reduces the second differential equation to an algebraic equation which is much easier to solve.

Therefore, so that

Since the concentration of the reaction intermediate B changes with the same time constant as [A] and is not in a steady state in that sense.

Validity

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Concentration vs. time for k2/k1 = 0.5
  Concentration of intermediate
  Concentration of product
  Concentration of substrate
Concentration vs. time for k2/k1 = 10
  Concentration of intermediate
  Concentration of product
  Concentration of substrate

The analytical and approximated solutions should now be compared in order to decide when it is valid to use the steady state approximation. The analytical solution transforms into the approximate one when because then and Therefore, it is valid to apply the steady state approximation only if the second reaction is much faster than the first (k2/k1 > 10 is a common criterion), because that means that the intermediate forms slowly and reacts readily so its concentration stays low.

The graphs show concentrations of A (red), B (green) and C (blue) in two cases, calculated from the analytical solution.

When the first reaction is faster it is not valid to assume that the variation of [B] is very small, because [B] is neither low or close to constant: first A transforms into B rapidly and B accumulates because it disappears slowly. As the concentration of A decreases its rate of transformation decreases, at the same time the rate of reaction of B into C increases as more B is formed, so a maximum is reached when
From then on the concentration of B decreases.

When the second reaction is faster, after a short induction period during which the steady state approximation does not apply, the concentration of B remains low (and more or less constant in an absolute sense) because its rates of formation and disappearance are almost equal and the steady state approximation can be used.

The equilibrium approximation can sometimes be used in chemical kinetics to yield similar results to the steady state approximation. It consists in assuming that the intermediate arrives rapidly at chemical equilibrium with the reactants. For example, Michaelis-Menten kinetics can be derived assuming equilibrium instead of steady state. Normally the requirements for applying the steady state approximation are laxer: the concentration of the intermediate is only needed to be low and more or less constant (as seen, this has to do only with the rates at which it appears and disappears) but it is not required to be at equilibrium.

Example

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The reaction H2 + Br2 → 2 HBr has the following mechanism:

Br2 → 2Br k1 Initiation
Br + H2 → HBr + H k2 Propagation
H + Br2 → HBr + Br k3 Propagation
H + HBr → H2 + Br k4 Inhibition
2Br → Br2 k5 Breaking

The rate of each species are:

These equations cannot be solved, because each one has values that change with time. For example, the first equation contains the concentrations of [Br], [H2] and [Br2], which depend on time, as can be seen in their respective equations.

To solve the rate equations the steady state approximation can be used. The reactants of this reaction are H2 and Br2, the intermediates are H and Br, and the product is HBr.

For solving the equations, the rates of the intermediates are set to 0 in the steady state approximation:

From the reaction rate of H, k2[Br][H2] − k3[H][Br2] − k4[H][HBr] = 0 , so the reaction rate of Br can be simplified:

The reaction rate of HBr can also be simplifed, changing k2[Br][H2] − k4[H][Br] to k3[H][Br2], since both values are equal.

The concentration of H from equation 1 can be isolated:

The concentration of this intermediate is small and changes with time like the concentrations of reactants and product. It is inserted into the last differential equation to give

Simplifying the equation leads to

The experimentally observed rate is

The experimental rate law is the same as rate obtained with the steady state approximation, if is and is .

See also

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Notes and references

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Revisions and contributorsEdit on WikipediaRead on Wikipedia
from Grokipedia
In chemistry, a steady state is a condition in which the concentrations of and other state variables remain constant over time, despite the presence of ongoing processes such as reactions, transports, or flows that would otherwise alter them. This balance arises when the rates of formation and depletion for each species are equal, typically in open systems where or energy continuously enters and exits. Unlike , which represents a special case of steady state in closed systems with no net fluxes and equal forward and reverse reaction rates, a general steady state permits sustained net flows while maintaining constancy. The concept is fundamental in various chemical contexts, including reactor design, where steady-state operation ensures predictable performance by balancing input and output streams, and in , such as modeling pollutant concentrations in the atmosphere where sources like emissions match sinks like deposition. In biological systems, steady states underpin , keeping cellular concentrations of metabolites constant through metabolic fluxes, though these are not equilibria due to continuous . A particularly important application is the steady-state approximation in , a mathematical technique used to simplify the derivation of rate laws for complex, multi-step reaction mechanisms involving reactive intermediates. This approximation assumes that the concentration of such intermediates changes negligibly over the timescale of the overall reaction (i.e., d[\ceI]dt0\frac{d[\ce{I}]}{dt} \approx 0), allowing their steady concentration to be expressed in terms of measurable species like reactants. It is valid when intermediates are short-lived and present in low concentrations compared to stable species, and it finds widespread use in analyzing (e.g., Michaelis-Menten model), catalytic cycles, and chain reactions in or .

Core Concepts

Definition and Principles

In chemistry, a steady state is a situation in which the concentrations of remain constant over time, despite ongoing processes such as reactions, transports, or flows that would otherwise change them. This occurs when the rate of formation of each species equals its rate of depletion, often in open systems with continuous input and output. In , the concept is particularly applied to intermediate species through the steady-state approximation, where their concentrations are assumed constant (i.e., d[\ceX]dt=0\frac{d[\ce{X}]}{dt} = 0) due to rapid production and consumption relative to the overall reaction timescale. This condition can hold in closed systems for short-lived intermediates, as well as in open systems like continuous-flow reactors, where overall concentrations stabilize from balanced inflows and outflows. The principle reflects a non-equilibrium balance governed by kinetic rates, rather than thermodynamic minima. The general steady state concept has roots in , notably advanced by in the mid-20th century, emphasizing sustained fluxes and . The in kinetics, which simplifies analysis of complex mechanisms, was first formalized by David L. Chapman and Leo K. Underhill in 1913 for the photochemical reaction between and , applying it to chain intermediates; it was independently developed by Max Bodenstein that year for broader chain reactions. To illustrate the general principle, consider a consecutive reaction \ceA>B>C\ce{A -> B -> C} in a flow system, where steady state maintains constant [B] as the conversion rate from A to B equals that from B to C, similar to steady flow through a pipe with fixed middle volume. This dynamic stability is key in reactor design and environmental modeling, balancing sources and sinks. The is central to understanding complex chemical systems across kinetics, , and .

Steady State versus Equilibrium

In chemistry, a steady state differs fundamentally from in terms of reaction dynamics and system conditions. At , the system achieves , where the rates of forward and reverse reactions for every elementary step are equal, resulting in no net change in concentrations and zero net through the reaction network. In contrast, a steady state features constant concentrations of despite ongoing processes, often involving unidirectional fluxes or balanced but non-zero flows that do not satisfy , maintaining the system in a non-equilibrium configuration. This distinction arises because steady states typically occur in open systems where external inputs sustain the dynamics, whereas equilibrium is characteristic of closed, isolated systems. Thermodynamically, steady states can exist far from equilibrium, requiring continuous or matter input to sustain concentration gradients and fluxes, which leads to ongoing in the system and surroundings. Unlike equilibrium, where the system minimizes and approaches zero, steady states do not correspond to a minimum of free energy; instead, they dissipate to maintain order against thermodynamic driving forces toward equilibrium. In , these states are stabilized by the coupling of reaction networks to irreversible processes, ensuring positive while allowing functional organization. Examples of steady states in abound in both synthetic and natural systems. In flow reactors, continuous inflow of reactants and outflow of products establish a steady state where reaction rates balance transport, preventing equilibrium and enabling sustained production, as seen in catalytic processes with kinetic . In , such as cellular , steady states maintain non-equilibrium concentrations of metabolites through energy input from , supporting directed fluxes essential for life processes without reverting to equilibrium disorder. These cases illustrate how steady states, far from implying , harness non-equilibrium conditions to achieve stability and functionality.

Steady-State Approximation

Assumptions and Derivation

The steady-state approximation (SSA) in is grounded in the assumption that reactive intermediates possess short lifetimes, such that they are consumed nearly as quickly as they are formed, resulting in their concentrations remaining effectively constant after a brief initial transient phase. This constancy implies that the rate of change in the intermediate's concentration is negligible compared to the rates of change for reactants and products over the timescale of the overall reaction. Additionally, the approximation presumes that the system rapidly attains this , allowing the intermediate's production and consumption rates to balance without significantly perturbing the reaction progress. The foundational derivation of the SSA originates from early applications in photochemical reactions, first proposed by Chapman and Underhill in 1913 for the chlorine-hydrogen system. In general, for an intermediate species I, the rate law is expressed as d[I]dt=\frac{d[I]}{dt} = (rate of production of I) - (rate of consumption of I). Under the steady-state condition, d[I]dt0\frac{d[I]}{dt} \approx 0, yielding [I]=rate of production of Irate of consumption of I[I] = \frac{\text{rate of production of I}}{\text{rate of consumption of I}}. For a simple consecutive mechanism, such as \ceA+B>[k1]I\ce{A + B ->[k_1] I} followed by \ceI>[k2]C\ce{I ->[k_2] C}, the production rate of I is k1[A][B]k_1 [A][B] and the consumption rate is k2[I]k_2 [I]. Setting d[I]dt=k1[A][B]k2[I]=0\frac{d[I]}{dt} = k_1 [A][B] - k_2 [I] = 0 thus gives [I]=k1[A][B]k2[I] = \frac{k_1 [A][B]}{k_2}. In contrast to the pre-equilibrium approximation, which posits a rapid equilibrium in preceding steps before a slow rate-determining step, the SSA is a more versatile method that does not require such equilibration but instead focuses on the balance of rates for low-concentration intermediates.

Application to Reaction Mechanisms

The steady-state approximation (SSA) is widely applied to complex reaction mechanisms featuring reactive intermediates, transforming the system of coupled differential equations into a set of algebraic equations that yield closed-form rate laws for the overall reaction. This simplification is crucial for deriving interpretable kinetic expressions without numerical integration, as originally demonstrated in photochemical chain reactions. In chain reactions, such as the photochemical reaction H₂ + Br₂ → 2HBr, the SSA treats radical species like Br• as intermediates whose concentrations remain nearly constant after an initial transient phase. The mechanism consists of (Br₂ → 2Br•), propagation (Br• + H₂ → HBr + H•; H• + Br₂ → HBr + Br•), and termination steps (e.g., 2Br• → Br₂); applying the SSA to [Br•] and [H•] balances production and consumption rates, resulting in a rate law of the form -d[H₂]/dt = k[H₂][Br₂]^{1/2}/([HBr] + k'), which accounts for inhibition by the product HBr and aligns with experimental data. For mechanisms involving multiple intermediates, the SSA requires setting d[I_i]/dt ≈ 0 for each intermediate I_i, leading to a linear system of algebraic equations where intermediate concentrations are solved in terms of stable species. This coupled approach facilitates rate law derivation for branched or sequential pathways, such as in combustion or polymerization kinetics, by eliminating the need to track transient species explicitly. The SSA integrates seamlessly with Michaelis-Menten kinetics in enzyme-catalyzed reactions, where the enzyme-substrate complex (ES) is treated as a steady-state intermediate. The mechanism E + S ⇌ ES → E + P assumes d[ES]/dt ≈ 0, yielding the rate law v = V_max [S] / (K_m + [S]), with K_m reflecting the effective dissociation constant under steady-state conditions rather than equilibrium; this formulation, developed for invertase action on sucrose, provides a robust description of saturation kinetics observed in enzymatic processes.

Mathematical Framework

Reaction Rate Equations

In chemical kinetics, the steady-state approximation (SSA) facilitates the formulation of rate equations for multi-step mechanisms by assuming that the concentrations of reactive intermediates remain nearly constant over the course of the reaction, allowing their elimination from the . This results in an overall rate law typically expressed as v=keff[reactants]nv = k_{\text{eff}} [\text{reactants}]^n, where the effective rate constant keffk_{\text{eff}} is derived from the steady-state expressions for the intermediates, incorporating their production and consumption rates. The SSA balances the rates of formation and decay of each intermediate by setting d[I]dt=0\frac{d[\text{I}]}{dt} = 0, where I denotes the intermediate, yielding algebraic relations that simplify the kinetics. A seminal application appears in the for unimolecular reactions, which models the decomposition A → products via collisional activation: A+Mk1k1A+M,Ak2P\text{A} + \text{M} \underset{k_{-1}}{\stackrel{k_1}{\rightleftharpoons}} \text{A}^* + \text{M}, \quad \text{A}^* \stackrel{k_2}{\rightarrow} \text{P} Applying the SSA to the energized intermediate A* gives d[A]dt=k1[A][M]k1[A][M]k2[A]=0,\frac{d[\text{A}^*]}{dt} = k_1 [\text{A}][\text{M}] - k_{-1} [\text{A}^*][\text{M}] - k_2 [\text{A}^*] = 0, solving for [A]=k1[A][M]k1[M]+k2.[\text{A}^*] = \frac{k_1 [\text{A}][\text{M}]}{k_{-1} [\text{M}] + k_2}. The overall rate of product formation is then v=d[P]dt=k2[A]=k1k2[A][M]k1[M]+k2=keff[A],v = \frac{d[\text{P}]}{dt} = k_2 [\text{A}^*] = \frac{k_1 k_2 [\text{A}][\text{M}]}{k_{-1} [\text{M}] + k_2} = k_{\text{eff}} [\text{A}], with keff=k1k2[M]k1[M]+k2.k_{\text{eff}} = \frac{k_1 k_2 [\text{M}]}{k_{-1} [\text{M}] + k_2}. This equation captures the pressure-dependent fall-off behavior: at high [M] (high-pressure limit), keffk1k2k1k_{\text{eff}} \approx \frac{k_1 k_2}{k_{-1}}, yielding kinetics independent of [M]; at low [M] (low-pressure limit), keffk1[M]k_{\text{eff}} \approx k_1 [\text{M}], resulting in second-order kinetics. The mechanism, proposed by Lindemann in 1922, highlights how SSA reveals transitions between kinetic orders in gas-phase reactions. The SSA approximates the time-dependent rates of complex mechanisms by focusing on the quasi-stationary regime after an initial transient period, during which intermediates rapidly attain their steady concentrations; this provides a good estimate of the initial rate constants for the overall reaction without solving the full time-dependent differential equations. In derivations incorporating reverse reactions, such as the reversible activation step in the , the reverse rate term (e.g., k1[A][M]k_{-1} [\text{A}^*][\text{M}]) appears in the denominator of the intermediate concentration expression, modulating keffk_{\text{eff}} and ensuring the rate law accounts for both forward and backward processes in the . This inclusion is essential for mechanisms where equilibrium between reactants and intermediates influences the net rate.

Analytical Solutions

Analytical solutions to steady-state kinetic equations are obtained by setting the time derivatives of intermediate concentrations to zero, resulting in a of algebraic equations that can often be solved explicitly for simple mechanisms. For a single reactive intermediate, this yields a , allowing direct substitution into the rate law for the overall reaction. In cases involving two intermediates, I₁ and I₂, the steady-state conditions d[I₁]/dt = 0 and d[I₂]/dt = 0 typically produce a coupled that reduces to a in one of the intermediates after elimination. For instance, in mechanisms with bilinear rate laws, substitution techniques linearize quadratic terms, enabling solution via and conservation relations to parameterize free variables. A representative example is the consecutive first-order reaction A → I → P, where I is the intermediate. Under the steady-state approximation, assuming k₂ ≫ k₁, the concentration of product evolves as [P] = [A]₀ (1 - e^{-k₁ t}), simplifying the kinetics to match the rate-determining first step. When the steady-state approximation is nearly valid but not exact, perturbation methods provide refined solutions by expanding around a small , such as the ratio of timescales for intermediate formation and consumption. Singular perturbation techniques, in particular, systematically improve the quasi-steady-state approximation by accounting for initial transients in schemes like R → I → P or more , yielding higher-order corrections to concentrations and rates. For complex mechanisms beyond simple algebraics, symbolic computation tools like Mathematica facilitate exact solutions by automating the manipulation of nonlinear equations from steady-state conditions.

Validity and Applications

Conditions for Validity

The steady-state approximation (SSA) in is valid under conditions where the lifetime of reactive intermediates, denoted as τI\tau_I, is significantly shorter than the characteristic timescale of the overall reaction, τrxn\tau_{rxn}, such that τIτrxn\tau_I \ll \tau_{rxn}. This timescale separation ensures that intermediates reach a quasi-constant concentration rapidly relative to the reaction progress, allowing their net production and consumption rates to balance effectively. For the canonical consecutive Ak1Ik2PA \xrightarrow{k_1} I \xrightarrow{k_2} P
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