Rate equation explained

In chemistry, the rate equation (also known as the rate law or empirical differential rate equation) is an empirical differential mathematical expression for the reaction rate of a given reaction in terms of concentrations of chemical species and constant parameters (normally rate coefficients and partial orders of reaction) only.^[1] For many reactions, the initial rate is given by a power law such as

v _{0} = k[ A ] ^{x[B]} ^{y}

where and are the molar concentrations of the species and usually in moles per liter (molarity,). The exponents and are the partial orders of reaction for and and the overall reaction order is the sum of the exponents. These are often positive integers, but they may also be zero, fractional, or negative. The order of reaction is a number which quantifies the degree to which the rate of a chemical reaction depends on concentrations of the reactants.^[2] In other words, the order of reaction is the exponent to which the concentration of a particular reactant is raised. The constant is the reaction rate constant or rate coefficient and at very few places velocity constant or specific rate of reaction. Its value may depend on conditions such as temperature, ionic strength, surface area of an adsorbent, or light irradiation. If the reaction goes to completion, the rate equation for the reaction rate $v\backslash ;\; =\backslash ;\; k[\backslash ce\{A\}]^x[\backslash ce\{B\}]^y$ applies throughout the course of the reaction.

Elementary (single-step) reactions and reaction steps have reaction orders equal to the stoichiometric coefficients for each reactant. The overall reaction order, i.e. the sum of stoichiometric coefficients of reactants, is always equal to the molecularity of the elementary reaction. However, complex (multi-step) reactions may or may not have reaction orders equal to their stoichiometric coefficients. This implies that the order and the rate equation of a given reaction cannot be reliably deduced from the stoichiometry and must be determined experimentally, since an unknown reaction mechanism could be either elementary or complex. When the experimental rate equation has been determined, it is often of use for deduction of the reaction mechanism.

The rate equation of a reaction with an assumed multi-step mechanism can often be derived theoretically using quasi-steady state assumptions from the underlying elementary reactions, and compared with the experimental rate equation as a test of the assumed mechanism. The equation may involve a fractional order, and may depend on the concentration of an intermediate species.

A reaction can also have an undefined reaction order with respect to a reactant if the rate is not simply proportional to some power of the concentration of that reactant; for example, one cannot talk about reaction order in the rate equation for a bimolecular reaction between adsorbed molecules:

v _{0=k} (K _{1K} _{2C} _{AC} _{B})/(( 1+ K _{1 C} _{A+K} _{2C} ^{2} ^{B)}) .

Definition

See main article: Reaction rate. Consider a typical chemical reaction in which two reactants A and B combine to form a product C:

$\backslash ce.$This can also be written

- A - 2 B + 3 C = 0 . The prefactors −1, −2 and 3 (with negative signs for reactants because they are consumed) are known as stoichiometric coefficients. One molecule of A combines with two of B to form 3 of C, so if we use the symbol [X] for the molar concentration of chemical X,- (d[ A ])/(dt) = - (1)/(2) (d[ B ])/(dt) = (1)/(3) (d[ C ])/(dt) .

If the reaction takes place in a closed system at constant temperature and volume, without a build-up of reaction intermediates, the reaction rate

v is defined asv = (1)/(\nu _{i}) (d[ X _{i]})/(dt) , where is the stoichiometric coefficient for chemical X_i, with a negative sign for a reactant.

The initial reaction rate

v _{0} = v _{t} has some functional dependence on the concentrations of the reactants,v _{0} = f\left([ A ], [ B ], \ldots\right), and this dependence is known as the rate equation or rate law. This law generally cannot be deduced from the chemical equation and must be determined by experiment.

Power laws

A common form for the rate equation is a power law:

$v\_0\; =\; k[\backslash ce\; A]^x[\backslash ce\; B]^y\; \backslash cdots$The constant is called the rate constant. The exponents, which can be fractional, are called partial orders of reaction and their sum is the overall order of reaction.

In a dilute solution, an elementary reaction (one having a single step with a single transition state) is empirically found to obey the law of mass action. This predicts that the rate depends only on the concentrations of the reactants, raised to the powers of their stoichiometric coefficients.

The differential rate equation for an elementary reaction using mathematical product notation is:

- {d\over dt}[ Reactants ] = k \prod _{i} [ Reactants _{i]}

Where:

• $-[\backslash text\{Reactants\}]$ is the rate of change of reactant concentration with respect to time.
• k is the rate constant of the reaction.
• $\backslash prod\_i\; [\backslash text\{Reactants\}\_i]$ represents the concentrations of the reactants, raised to the powers of their stoichiometric coefficients and multiplied together.

Determination of reaction order

Method of initial rates

The natural logarithm of the power-law rate equation is

$\backslash ln\; v\_0\; =\; \backslash ln\; k\; +\; x\backslash ln[\backslash ce\; A]\; +\; y\backslash ln[\backslash ce\; B]\; +\; \backslash cdots$This can be used to estimate the order of reaction of each reactant. For example, the initial rate can be measured in a series of experiments at different initial concentrations of reactant with all other concentrations kept constant, so that

$\backslash ln\; v\_0\; =\; x\backslash ln[\backslash ce\; A]\; +\; \backslash textrm.$The slope of a graph of as a function of $\backslash ln\; [\backslash ce\; A]$ then corresponds to the order with respect to reactant .

However, this method is not always reliable because

1. measurement of the initial rate requires accurate determination of small changes in concentration in short times (compared to the reaction half-life) and is sensitive to errors, and
2. the rate equation will not be completely determined if the rate also depends on substances not present at the beginning of the reaction, such as intermediates or products.

Integral method

The tentative rate equation determined by the method of initial rates is therefore normally verified by comparing the concentrations measured over a longer time (several half-lives) with the integrated form of the rate equation; this assumes that the reaction goes to completion.

For example, the integrated rate law for a first-order reaction is

$\backslash ln\; =\; -kt\; +\; \backslash ln,$

where is the concentration at time and is the initial concentration at zero time. The first-order rate law is confirmed if $\backslash ln$ is in fact a linear function of time. In this case the rate constant is equal to the slope with sign reversed.

Method of flooding

The partial order with respect to a given reactant can be evaluated by the method of flooding (or of isolation) of Ostwald. In this method, the concentration of one reactant is measured with all other reactants in large excess so that their concentration remains essentially constant. For a reaction with rate law

v _{0} = k ⋅ [{\rm A}] ^{x} ⋅ [{\rm B}] ^{y,} the partial order with respect to is determined using a large excess of . In this casev _{0} = k' ⋅ [{\rm A}] ^{x} with k' = k ⋅ [{\rm B}] ^{y,}

and may be determined by the integral method. The order with respect to under the same conditions (with in excess) is determined by a series of similar experiments with a range of initial concentration so that the variation of can be measured.

Zero order

For zero-order reactions, the reaction rate is independent of the concentration of a reactant, so that changing its concentration has no effect on the rate of the reaction. Thus, the concentration changes linearly with time. The rate law for zero order reaction is

- {d[A] \over dt} = k[A] ^{0} = k,

The unit of k is mol dm^-3 s^-1.^[3] This may occur when there is a bottleneck which limits the number of reactant molecules that can react at the same time, for example if the reaction requires contact with an enzyme or a catalytic surface.

Many enzyme-catalyzed reactions are zero order, provided that the reactant concentration is much greater than the enzyme concentration which controls the rate, so that the enzyme is saturated. For example, the biological oxidation of ethanol to acetaldehyde by the enzyme liver alcohol dehydrogenase (LADH) is zero order in ethanol.

Similarly reactions with heterogeneous catalysis can be zero order if the catalytic surface is saturated. For example, the decomposition of phosphine on a hot tungsten surface at high pressure is zero order in phosphine, which decomposes at a constant rate.

In homogeneous catalysis zero order behavior can come about from reversible inhibition. For example, ring-opening metathesis polymerization using third-generation Grubbs catalyst exhibits zero order behavior in catalyst due to the reversible inhibition that occurs between pyridine and the ruthenium center.^[4]

First order

A first order reaction depends on the concentration of only one reactant (a unimolecular reaction). Other reactants can be present, but their concentration has no effect on the rate. The rate law for a first order reaction is

$-\backslash frac\; =\; k[\backslash ce\; A],$The unit of k is s^-1.^[5] Although not affecting the above math, the majority of first order reactions proceed via intermolecular collisions. Such collisions, which contribute the energy to the reactant, are necessarily second order. The rate of these collisions is, however, masked by the fact that the rate determining step remains the unimolecular breakdown of the energized reactant.

The half-life is independent of the starting concentration and is given by $t\_\; =\; \backslash frac$. The mean lifetime is τ = 1/k.^[6]

Examples of such reactions are:

• 2N2O5 -> 4NO2 + O2 ^[7]
• [CoCl(NH3)5]^2+ + H2O -> [Co(H2O)(NH3)5]^3+ + Cl-
• H2O2 -> H2O + 1/2O2 ^[8]

In organic chemistry, the class of S_N1 (nucleophilic substitution unimolecular) reactions consists of first-order reactions. For example, in the reaction of aryldiazonium ions with nucleophiles in aqueous solution,, the rate equation is $v\_0\; =\; k[\backslash ce\{ArN2+\}],$ where Ar indicates an aryl group.

Second order

A reaction is said to be second order when the overall order is two. The rate of a second-order reaction may be proportional to one concentration squared, $v\_0\; =\; k\; [\backslash ce\; A]^2,$ or (more commonly) to the product of two concentrations, $v\_0\; =\; k[\backslash ce\; A][\backslash ce\; B].$ As an example of the first type, the reaction is second-order in the reactant and zero order in the reactant CO. The observed rate is given by $v\_0\; =\; k\; [\backslash ce\{NO2\}]^2,$ and is independent of the concentration of CO.^[9]

For the rate proportional to a single concentration squared, the time dependence of the concentration is given by

$\backslash frac\; =\; \backslash frac\; +\; kt.$The unit of k is mol^-1 dm³ s^-1. ^[10]

The time dependence for a rate proportional to two unequal concentrations is

$\backslash frac\; =\; \backslash frac\; e^;$if the concentrations are equal, they satisfy the previous equation.

The second type includes nucleophilic addition-elimination reactions, such as the alkaline hydrolysis of ethyl acetate:

CH3COOC2H5 + OH- -> CH3COO- + C2H5OH

This reaction is first-order in each reactant and second-order overall:

$v\_0\; =\; k\; [\backslash ce\{CH3COOC2H5\}][\backslash ce\{OH-\}]$

If the same hydrolysis reaction is catalyzed by imidazole, the rate equation becomes

$v\_0\; =\; k[\backslash text\{imidazole\}][\backslash ce\{CH3COOC2H5\}].$The rate is first-order in one reactant (ethyl acetate), and also first-order in imidazole, which as a catalyst does not appear in the overall chemical equation.

Another well-known class of second-order reactions are the S_N2 (bimolecular nucleophilic substitution) reactions, such as the reaction of n-butyl bromide with sodium iodide in acetone:

CH3CH2CH2CH2Br + NaI -> CH3CH2CH2CH2I + NaBr(v)

This same compound can be made to undergo a bimolecular (E2) elimination reaction, another common type of second-order reaction, if the sodium iodide and acetone are replaced with sodium tert-butoxide as the salt and tert-butanol as the solvent:

CH3CH2CH2CH2Br + NaO\mathit-Bu -> CH3CH2CH=CH2 + NaBr + HO\mathit-Bu

Pseudo-first order

If the concentration of a reactant remains constant (because it is a catalyst, or because it is in great excess with respect to the other reactants), its concentration can be included in the rate constant, leading to a pseudo–first-order (or occasionally pseudo–second-order) rate equation. For a typical second-order reaction with rate equation $v\_0\; =\; k[\backslash ce\; A][\backslash ce\; B],$ if the concentration of reactant B is constant then $v\_0\; =\; k[\backslash ce\{A\}][\backslash ce\{B\}]\; =\; k\text{'}[\backslash ce\{A\}],$ where the pseudo–first-order rate constant $k\text{'}\; =\; k[\backslash ce\; B].$ The second-order rate equation has been reduced to a pseudo–first-order rate equation, which makes the treatment to obtain an integrated rate equation much easier.

One way to obtain a pseudo-first order reaction is to use a large excess of one reactant (say, [B]≫[A]) so that, as the reaction progresses, only a small fraction of the reactant in excess (B) is consumed, and its concentration can be considered to stay constant. For example, the hydrolysis of esters by dilute mineral acids follows pseudo-first order kinetics, where the concentration of water is constant because it is present in large excess:

CH3COOCH3 + H2O -> CH3COOH + CH3OH

The hydrolysis of sucrose in acid solution is often cited as a first-order reaction with rate $v\_0\; =\; k[\backslash ce\{C12H22O11\}].$ The true rate equation is third-order, $v\_0\; =\; k[\backslash ce\{C12H22O11\}][\backslash ce\{H+\}][\backslash ce\{H2O\}];$ however, the concentrations of both the catalyst and the solvent are normally constant, so that the reaction is pseudo–first-order.

Summary for reaction orders 0, 1, 2, and n

Elementary reaction steps with order 3 (called ternary reactions) are rare and unlikely to occur. However, overall reactions composed of several elementary steps can, of course, be of any (including non-integer) order.

	Zero order	First order	Second order	nth order (g = 1−n)
Rate Law	$-/\; =\; k$	$-/\; =\; k[\backslash ce\; A]$	$-/\; =\; k[\backslash ce\; A]^2$^[11]	$-/\; =\; k[\backslash ce\; A]^n$
Integrated Rate Law	$\backslash ce\; -\; kt$	$\backslash ce\; e^$	$\backslash frac\backslash ce\; =\; \backslash frac\backslash ce\; +\; kt$	$[\backslash ce\; A]^\; =\; -\; gkt$[Except first order]
Units of Rate Constant (k)	\rm (M)/(s)	\rm (1)/(s)	\rm (1)/(M ⋅ s)	({\rm M)/(^{g}) }
Linear Plot to determine k	vs.	\ln ([A]) vs.	\frac vs.	^ vs. [Except first order]
Half-life	$t\_\backslash frac\; =\; \backslash frac\backslash ce$	t _{(1)/(2)} = (ln ( 2 ))/(k)	$t\_\backslash frac\; =\; \backslash frac$	$t\_\backslash frac\; =\; \backslash frac$[Limit is necessary for first order]

Here stands for concentration in molarity (mol · L⁻¹), for time, and for the reaction rate constant. The half-life of a first-order reaction is often expressed as t_1/2 = 0.693/k (as ln(2)≈0.693).

Fractional order

In fractional order reactions, the order is a non-integer, which often indicates a chemical chain reaction or other complex reaction mechanism. For example, the pyrolysis of acetaldehyde into methane and carbon monoxide proceeds with an order of 1.5 with respect to acetaldehyde: $v\_0\; =\; k[\backslash ce\{CH3CHO\}]^.$ The decomposition of phosgene to carbon monoxide and chlorine has order 1 with respect to phosgene itself and order 0.5 with respect to chlorine: $v\_0\; =\; k\; \backslash ce^.$

The order of a chain reaction can be rationalized using the steady state approximation for the concentration of reactive intermediates such as free radicals. For the pyrolysis of acetaldehyde, the Rice-Herzfeld mechanism is

Initiation :CH3CHO -> .CH3 + .CHO

Propagation :.CH3 + CH3CHO -> CH3CO. + CH4

CH3CO. -> .CH3 + CO

Termination :2 .CH3 -> C2H6where • denotes a free radical. To simplify the theory, the reactions of the to form a second are ignored.

In the steady state, the rates of formation and destruction of methyl radicals are equal, so that

$\backslash frac\; =\; k\_i[\backslash ce\{CH3CHO\}]-k\_t[\backslash ce\{.CH3\}]^2\; =\; 0,$

so that the concentration of methyl radical satisfies

[.CH3] \quad\propto \quad[CH3CHO]^.

The reaction rate equals the rate of the propagation steps which form the main reaction products and CO:

$v\_0\; =\; \backslash frac|\_0\; =\; k\_p\backslash ce\; \backslash quad\backslash propto\; \backslash quad\backslash ce$in agreement with the experimental order of 3/2.

Complex laws

Mixed order

More complex rate laws have been described as being mixed order if they approximate to the laws for more than one order at different concentrations of the chemical species involved. For example, a rate law of the form

v _{0} = k _{1[A]+k} ^{2} ^{2 [A]} represents concurrent first order and second order reactions (or more often concurrent pseudo-first order and second order) reactions, and can be described as mixed first and second order. For sufficiently large values of [A] such a reaction will approximate second order kinetics, but for smaller [A] the kinetics will approximate first order (or pseudo-first order). As the reaction progresses, the reaction can change from second order to first order as reactant is consumed.

Another type of mixed-order rate law has a denominator of two or more terms, often because the identity of the rate-determining step depends on the values of the concentrations. An example is the oxidation of an alcohol to a ketone by hexacyanoferrate (III) ion [Fe(CN)₆^3−] with ruthenate (VI) ion (RuO₄²⁻) as catalyst.^[12] For this reaction, the rate of disappearance of hexacyanoferrate (III) is $v\_0\; =\; \backslash frac$

This is zero-order with respect to hexacyanoferrate (III) at the onset of the reaction (when its concentration is high and the ruthenium catalyst is quickly regenerated), but changes to first-order when its concentration decreases and the regeneration of catalyst becomes rate-determining.

Notable mechanisms with mixed-order rate laws with two-term denominators include:

• Michaelis–Menten kinetics for enzyme-catalysis: first-order in substrate (second-order overall) at low substrate concentrations, zero order in substrate (first-order overall) at higher substrate concentrations; and
• the Lindemann mechanism for unimolecular reactions: second-order at low pressures, first-order at high pressures.

Negative order

A reaction rate can have a negative partial order with respect to a substance. For example, the conversion of ozone (O₃) to oxygen follows the rate equation $v\_0\; =k\backslash ce\backslash ce$ in an excess of oxygen. This corresponds to second order in ozone and order (−1) with respect to oxygen.

When a partial order is negative, the overall order is usually considered as undefined. In the above example, for instance, the reaction is not described as first order even though the sum of the partial orders is

2 + ( -1 ) = 1 , because the rate equation is more complex than that of a simple first-order reaction.

Opposed reactions

A pair of forward and reverse reactions may occur simultaneously with comparable speeds. For example, A and B react into products P and Q and vice versa (a, b, p, and q are the stoichiometric coefficients):

+ <=> +

The reaction rate expression for the above reactions (assuming each one is elementary) can be written as:

$v\; =\; k\_1\; [\backslash ce\; A]^a[\backslash ce\; B]^b\; -\; k\_\; [\backslash ce\; P]^p[\backslash ce\; Q]^q$

where: k₁ is the rate coefficient for the reaction that consumes A and B; k₋₁ is the rate coefficient for the backwards reaction, which consumes P and Q and produces A and B.

The constants k₁ and k₋₁ are related to the equilibrium coefficient for the reaction (K) by the following relationship (set v=0 in balance):

Simple example

In a simple equilibrium between two species:

A <=> P

where the reaction starts with an initial concentration of reactant A, [A]0, and an initial concentration of 0 for product P at time t=0.

Then the equilibrium constant K is expressed as:

$K\; \backslash \; \backslash stackrel\backslash \; \backslash frac\; =\; \backslash frac$

where $[\backslash ce\; A]\_e$ and $[\backslash ce\; P]\_e$ are the concentrations of A and P at equilibrium, respectively.

The concentration of A at time t, $[\backslash ce\; A]\_t$, is related to the concentration of P at time t, $[\backslash ce\; P]\_t$, by the equilibrium reaction equation:

[A]_\mathit = [A]0 - [P]_\mathit

The term [P]0 is not present because, in this simple example, the initial concentration of P is 0.

This applies even when time t is at infinity; i.e., equilibrium has been reached:

[A]_\mathit = [A]0 - [P]_\mathit

then it follows, by the definition of K, that

$[\backslash ce\; P]\_e\; =\; \backslash frac\backslash ce$

and, therefore,

$\backslash \; [\backslash ce\; A]\_e\; =\; \backslash ce\; -\; [\backslash ce\; P]\_e\; =\; \backslash frac\backslash ce$

These equations allow us to uncouple the system of differential equations, and allow us to solve for the concentration of A alone.

The reaction equation was given previously as:

$v\; =\; k\_1\; [\backslash ce\; A]^a[\backslash ce\; B]^b\; -\; k\_\; [\backslash ce\; P]^p[\backslash ce\; Q]^q$

For A <=> P this is simply

$-\backslash frac\; =\; k\_1\; [\backslash ce\; A]\_t\; -\; k\_\; [\backslash ce\; P]\_t$

The derivative is negative because this is the rate of the reaction going from A to P, and therefore the concentration of A is decreasing. To simplify notation, let x be $[\backslash ce\; A]\_t$, the concentration of A at time t. Let

x _{e} be the concentration of A at equilibrium. Then:

Since:

$k\_1\; +\; k\_\; =\; k\_\; \backslash frac$

the reaction rate becomes:

$\backslash frac\; =\; \backslash frac\; (x\_e\; -\; x)$

which results in:

$\backslash ln\; \backslash left(\backslash frac\backslash right)\; =\; (k\_1\; +\; k\_)t$.

A plot of the negative natural logarithm of the concentration of A in time minus the concentration at equilibrium versus time t gives a straight line with slope k₁ + k₋₁. By measurement of [A]_e and [P]_e the values of K and the two reaction rate constants will be known.^[13]

Generalization of simple example

If the concentration at the time t = 0 is different from above, the simplifications above are invalid, and a system of differential equations must be solved. However, this system can also be solved exactly to yield the following generalized expressions:

When the equilibrium constant is close to unity and the reaction rates very fast for instance in conformational analysis of molecules, other methods are required for the determination of rate constants for instance by complete lineshape analysis in NMR spectroscopy.

Consecutive reactions

If the rate constants for the following reaction are

k _{1} and k _{2} ; A -> B -> C , then the rate equation is:

For reactant A: $\backslash frac\; =\; -k\_1\; [\backslash ce\; A]$

For reactant B: $\backslash frac\; =\; k\_1\; [\backslash ce\; A]\; -\; k\_2\; [\backslash ce\; B]$

For product C: $\backslash frac\; =\; k\_2\; [\backslash ce\; B]$

With the individual concentrations scaled by the total population of reactants to become probabilities, linear systems of differential equations such as these can be formulated as a master equation. The differential equations can be solved analytically and the integrated rate equations are

$[\backslash ce\; A]=\backslash ce\; e^$

The steady state approximation leads to very similar results in an easier way.

Parallel or competitive reactions

When a substance reacts simultaneously to give two different products, a parallel or competitive reaction is said to take place.

Two first order reactions

A -> B and A -> C , with constants

k _{1} and k _{2} and rate equations $-\backslash frac=(k\_1+k\_2)[\backslash ce\; A]$; $\backslash frac=k\_1[\backslash ce\; A]$ and $\backslash frac=k\_2[\backslash ce\; A]$

The integrated rate equations are then $[\backslash ce\; A]\; =\; \backslash ce\; e^$; $[\backslash ce\; B]\; =\; \backslash frac\backslash ce\; \backslash left(1\; -\; e^\backslash right)$ and$[\backslash ce\; C]\; =\; \backslash frac\backslash ce\; \backslash left(1\; -\; e^\backslash right)$.

One important relationship in this case is $\backslash frac=\backslash frac$

One first order and one second order reaction

This can be the case when studying a bimolecular reaction and a simultaneous hydrolysis (which can be treated as pseudo order one) takes place: the hydrolysis complicates the study of the reaction kinetics, because some reactant is being "spent" in a parallel reaction. For example, A reacts with R to give our product C, but meanwhile the hydrolysis reaction takes away an amount of A to give B, a byproduct: A + H2O -> B and A + R -> C . The rate equations are: $\backslash frac=k\_1\backslash ce=k\_1\text{'}[\backslash ce\; A]$ and $\backslash frac=k\_2\backslash ce$, where

k _{1'} is the pseudo first order constant.^[14]

The integrated rate equation for the main product [C] is $\backslash ce\; \backslash left\; [1-e^\{-\backslash frac\{k\_2\}\{k\_1\text{'}\}\backslash ce\{[A]0\}\; \backslash left(1-e^\backslash right)\}\; \backslash right\; ]$, which is equivalent to $\backslash ln\; \backslash frac=\backslash frac\backslash left(1\; -\; e^\backslash right)$. Concentration of B is related to that of C through $[\backslash ce\; B]=-\backslash frac\; \backslash ln\; \backslash left\; (1\; -\; \backslash frac\; \backslash right)$

The integrated equations were analytically obtained but during the process it was assumed that $\backslash ce\; -\; \backslash ce\backslash approx\; \backslash ce$. Therefore, previous equation for [C] can only be used for low concentrations of [C] compared to [A]₀

Stoichiometric reaction networks

The most general description of a chemical reaction network considers a number

N of distinct chemical species reacting via R reactions.^{[15] [16]} The chemical equation of the j -th reaction can then be written in the generic form

$r\_\; \backslash ce\; X\_1\; +\; r\_\; \backslash ce\; X\_2\; +\; \backslash cdots\; +\; r\_\; \backslash ce\; X\_\; \backslash ce\; \backslash \; p\_\; \backslash ce\; X\_\; +\; \backslash \; p\_\; \backslash ce\; X\_\; +\; \backslash cdots\; +\; p\_\; \backslash ce\; X\_,$

which is often written in the equivalent form

$\backslash sum\_^\; r\_\; \backslash ce\; X\_i\; \backslash ce\; \backslash sum\_^\backslash \; p\_\; \backslash ce\; X\_.$

Here

j is the reaction index running from 1 to R ,

• $\backslash ce\; X\_i$ denotes the

i -th chemical species,k _{j} is the rate constant of the j -th reaction andr _{ij} and p _{ij} are the stoichiometric coefficients of reactants and products, respectively.

The rate of such a reaction can be inferred by the law of mass action

$f\_j([\backslash mathbf\; X])\; =\; k\_j\; \backslash prod\_^N\; [\backslash ce\; X\_z]^$

which denotes the flux of molecules per unit time and unit volume. Here ([\mathbf X])=([X1], [X2], \ldots,[X_\mathit{N}]) is the vector of concentrations. This definition includes the elementary reactions:

zero order reactions

for which r _{zj} =0 for all z ,

first order reactions

for which r _{zj} =1 for a single z ,

second order reactions

for which r _{zj} =1 for exactly two z ; that is, a bimolecular reaction, or r _{zj} = 2 for a single z ; that is, a dimerization reaction.

Each of these is discussed in detail below. One can define the stoichiometric matrix

N _{ij} = p _{ij} - r _{ij} , denoting the net extent of molecules of i in reaction j . The reaction rate equations can then be written in the general form

$\backslash frac\; =\backslash sum\_^\; r\_\; f\_j([\backslash mathbf\; X]).$

This is the product of the stoichiometric matrix and the vector of reaction rate functions.Particular simple solutions exist in equilibrium, $\backslash frac=0$, for systems composed of merely reversible reactions. In this case, the rate of the forward and backward reactions are equal, a principle called detailed balance. Detailed balance is a property of the stoichiometric matrix

N _{ij} alone and does not depend on the particular form of the rate functions f _{j} . All other cases where detailed balance is violated are commonly studied by flux balance analysis, which has been developed to understand metabolic pathways.^{[17] [18]}

General dynamics of unimolecular conversion

For a general unimolecular reaction involving interconversion of

N different species, whose concentrations at time t are denoted by X _{1(t)} through X _{N(t)} , an analytic form for the time-evolution of the species can be found. Let the rate constant of conversion from species X _{i} to species X _{j} be denoted as k _{ij} , and construct a rate-constant matrix K whose entries are the k _{ij} .

Also, let

X(t) = (X _{1(t),} X _{2(t),} \ldots,X ^{T} _{N(t))} be the vector of concentrations as a function of time.

Let

J = ( 1 , 1 , 1 ,\ldots, 1 ) ^{T} be the vector of ones.

Let

I be the N x N identity matrix.

Let

\operatorname{diag} be the function that takes a vector and constructs a diagonal matrix whose on-diagonal entries are those of the vector.

Let

l{L} ^{-1} be the inverse Laplace transform from s to t .

Then the time-evolved state

X(t) is given byX(t) = l{L} ^{-1} [(sI + \operatorname{diag}(KJ) - K ^{T)} ^{-1} X( 0 )], thus providing the relation between the initial conditions of the system and its state at time t .

See also

• Michaelis–Menten kinetics
• Molecularity
• Petersen matrix
• Reaction–diffusion system
• Reactions on surfaces: rate equations for reactions where at least one of the reactants adsorbs onto a surface
• Reaction progress kinetic analysis
• Reaction rate
• Reaction rate constant
• Steady state approximation
• Gillespie algorithm
• Balance equation
• Belousov–Zhabotinsky reaction
• Lotka–Volterra equations
• Chemical kinetics

References

Books cited

• Book: Atkins . Peter . Peter Atkins . de Paula . Julio . The rates of chemical reactions . Atkins' Physical chemistry . W.H. Freeman . 0-7167-8759-8 . 791–823 . 8th . 2006 . registration . https://archive.org/details/atkinsphysicalch00pwat/page/791 .
• Book: Connors . Kenneth Antonio . Chemical kinetics : the study of reaction rates in solution . 1990 . John Wiley & Sons . 9781560810063 .
• Book: Espenson . James H. . Chemical kinetics and reaction mechanisms . 1987 . McGraw Hill . 9780071139496 . 2nd.
• Book: Laidler . Keith James . Keith J. Laidler . Chemical kinetics . 1987 . Harper & Row . 9780060438623 . 3rd .
• Book: Tinoco . Ignacio Jr.. Ignacio Tinoco Jr. . Wang . James C. . James C. Wang . Physical chemistry : principles and applications in biological sciences . 1995 . Prentice Hall . 9780131865457 . 3rd .

External links

• Chemical kinetics, reaction rate, and order (needs flash player)
• Reaction kinetics, examples of important rate laws (lecture with audio).
• Rates of Reaction

Notes and References

1. Book: The IUPAC Compendium of Chemical Terminology: The Gold Book . 2019 . International Union of Pure and Applied Chemistry (IUPAC) . Gold . Victor . 4 . Research Triangle Park, NC . en . 10.1351/goldbook.
2. Web site: 2015-01-18 . 14.3: Effect of Concentration on Reaction Rates: The Rate Law . 2023-04-10 . Chemistry LibreTexts.
3. Book: Kapoor, K. L. . A Textbook of physical chemistry. Vol. 5: Dynamics of chemical reactions, statistical thermodynamics and macromolecules . 2007 . Macmillan India Ltd . 978-1-4039-2277-9 . repr . 5 . New Dehi.
4. Walsh. Dylan J.. Lau. Sii Hong. Hyatt. Michael G.. Guironnet. Damien. 2017-09-25. Kinetic Study of Living Ring-Opening Metathesis Polymerization with Third-Generation Grubbs Catalysts. Journal of the American Chemical Society. EN. 139. 39. 13644–13647. 10.1021/jacs.7b08010. 28944665. 0002-7863.
5. Book: Kapoor, K. L. . A Textbook of physical chemistry. Vol. 5: Dynamics of chemical reactions, statistical thermodynamics and macromolecules . 2007 . Macmillan India Ltd . 978-1-4039-2277-9 . repr . 5 . New Dehi.
6. Book: Espenson . James H. . Chemical Kinetics and Reaction Mechanisms . 1981 . McGraw-Hill . 0-07-019667-2 . 14.
7. [Keith J. Laidler]
8. R.H. Petrucci, W.S. Harwood and F.G. Herring, General Chemistry (8th ed., Prentice-Hall 2002) p.588
9. Whitten K. W., Galley K. D. and Davis R. E. General Chemistry (4th edition, Saunders 1992), pp. 638–9
10. Book: Kapoor, K. L. . A Textbook of physical chemistry. Vol. 5: Dynamics of chemical reactions, statistical thermodynamics and macromolecules . 2007 . Macmillan India Ltd . 978-1-4039-2277-9 . repr . 5 . New Dehi.
11. https://web.archive.org/web/19981205103941/http://www.rcdc.nd.edu/compilations/Ali/Ali.htm NDRL Radiation Chemistry Data Center
12. Mucientes . Antonio E. . de la Peña . María A. . November 2006 . Ruthenium(VI)-Catalyzed Oxidation of Alcohols by Hexacyanoferrate(III): An Example of Mixed Order . Journal of Chemical Education . EN . 83 . 11 . 1643 . 10.1021/ed083p1643 . 0021-9584.
13. Rushton . Gregory T. . Burns . William G. . Lavin . Judi M. . Chong . Yong S. . Pellechia . Perry . Shimizu . Ken D. . September 2007 . Determination of the Rotational Barrier for Kinetically Stable Conformational Isomers via NMR and 2D TLC . Journal of Chemical Education . EN . 84 . 9 . 1499 . 10.1021/ed084p1499 . 0021-9584.
14. 10.1021/tx050031d. 16022509. A Kinetic Approach to the Alkylating Potential of Carcinogenic Lactones. Chemical Research in Toxicology. 18. 7. 1161–1166. 2005. Manso. José A.. Pérez-Prior. M. Teresa. García-Santos. M. del Pilar. Calle. Emilio. Casado. Julio. 10.1.1.632.3473.
15. Book: Heinrich . Reinhart . Schuster . Stefan . The Regulation of Cellular Systems . 2012 . Springer Science & Business Media . 9781461311614.
16. Book: 10.1007/978-1-84996-214-8. Modeling Biomolecular Networks in Cells. 2010. Chen. Luonan. Wang. Ruiqi. Li. Chunguang. Aihara. Kazuyuki. 978-1-84996-213-1.
17. Szallasi, Z., and Stelling, J. and Periwal, V. (2006) System modeling in cell biology: from concepts to nuts and bolts. MIT Press Cambridge.
18. Book: Iglesias . Pablo A. . Ingalls . Brian P. . Control theory and systems biology . 2010 . MIT Press . 9780262013345.

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