Q. How to calculate the acid dissociation constant \(K_a\).

Answer

For a weak acid HA, the acid dissociation constant is defined by

\[
K_a=\frac{[H^+][A^-]}{[HA]}
\]

If the initial acid concentration is \(C\) and \(x\) dissociates so that \([H^+]=[A^-]=x\) and \([HA]=C-x\), then

\[
K_a=\frac{x^2}{C-x}
\]

For small dissociation \(x\ll C\), approximate

\[
K_a\approx\frac{x^2}{C}\quad\Longrightarrow\quad x\approx\sqrt{K_a C}
\]

If you know the pH and initial concentration \(C\), compute \([H^+]=10^{-\mathrm{pH}}\) and use

\[
K_a=\frac{[H^+]^2}{C-[H^+]}
\]

If you know percent dissociation \(\alpha\) (as a fraction), use

\[
K_a=\frac{\alpha^2 C}{1-\alpha}
\]

Detailed Explanation

Definition. For a monoprotic weak acid HA that dissociates in water into H+ and A-, the acid dissociation constant Ka is defined by the equilibrium concentrations as

\[
\mathrm{Ka} \;=\; \frac{[\mathrm{H^+}]\,[\mathrm{A^-}]}{[\mathrm{HA}]}
\]

Step 1. Identify what information you have. Typical information sets are

– the initial (analytical) concentration of the acid, which we call \(C\), and the measured pH of the solution; or

– the initial concentration \(C\) and the equilibrium concentration(s) of H+, A-, or HA; or

– Ka given and you want pH (reverse problem).

Step 2. If you have measured pH, compute the hydronium concentration. Convert pH to \([\mathrm{H^+}]\) by

\[
[\mathrm{H^+}] \;=\; 10^{-\mathrm{pH}} .
\]

Step 3. Relate the equilibrium concentrations. For a simple monoprotic acid with no other acid or base present, every mole of A- produced corresponds to one mole of H+ produced (neglecting water autoionization when the acid is the dominant source of H+). Thus at equilibrium

\[
[\mathrm{A^-}] \;=\; [\mathrm{H^+}] ,
\qquad
[\mathrm{HA}] \;=\; C – [\mathrm{A^-}] .
\]

Step 4. Insert equilibrium concentrations into the Ka expression and compute Ka. Using the pH-based route this gives

\[
\mathrm{Ka} \;=\; \frac{[\mathrm{H^+}]\,[\mathrm{A^-}]}{[\mathrm{HA}]}
\;=\; \frac{[\mathrm{H^+}]^2}{C – [\mathrm{H^+}]} .
\]

Step 5. Practical approximation. If the acid is sufficiently weak and only a small fraction dissociates, then \([\mathrm{H^+}] \) is much smaller than \(C\). In that case approximate \(C – [\mathrm{H^+}] \approx C\) and

\[
\mathrm{Ka} \;\approx\; \frac{[\mathrm{H^+}]^2}{C} .
\]

Step 6. Algebraic determination from initial concentration (ICE table method). If you do not have pH but know the initial concentration \(C\) and want the equilibrium dissociation \(x = [\mathrm{H^+}]\), set up an ICE table conceptually:

\[
\begin{array}{lcl}
\text{initial:} & [\mathrm{HA}] = C , & [\mathrm{H^+}] = 0 , [\mathrm{A^-}] = 0 \\
\text{change:} & [\mathrm{HA}] = C – x , & [\mathrm{H^+}] = x , [\mathrm{A^-}] = x \\
\text{equilibrium:} & [\mathrm{HA}] = C – x , & [\mathrm{H^+}] = x , [\mathrm{A^-}] = x \\
\end{array}
\\
\]

Insert these into the Ka expression to get

\[
\mathrm{Ka} \;=\; \frac{x^2}{C – x} .
\]

Rearrange to obtain a quadratic equation for \(x\):

\[
x^2 + \mathrm{Ka}\,x – \mathrm{Ka}\,C \;=\; 0 .
\]

Solve the quadratic using the quadratic formula and choose the positive root:

\[
x \;=\; \frac{-\mathrm{Ka} + \sqrt{\mathrm{Ka}^2 + 4\,\mathrm{Ka}\,C}}{2} .
\]

Once you have \(x = [\mathrm{H^+}]\) compute pH by \( \mathrm{pH} = -\log_{10}(x)\).

Step 7. Worked numerical example (calculate Ka from measured pH). Suppose the initial acid concentration is \(C = 0.100\ \mathrm{M}\) and the measured pH is 2.87. Then

\[
[\mathrm{H^+}] \;=\; 10^{-2.87} \;\approx\; 1.35\times 10^{-3}\ \mathrm{M} .
\]

\[
[\mathrm{A^-}] \;=\; 1.35\times 10^{-3}\ \mathrm{M} ,
\qquad
[\mathrm{HA}] \;=\; 0.100 – 1.35\times 10^{-3} \;\approx\; 0.09865\ \mathrm{M} .
\]

\[
\mathrm{Ka} \;=\; \frac{(1.35\times 10^{-3})^2}{0.09865}
\;\approx\; 1.84\times 10^{-5} .
\]

Summary. The fundamental formula is

\[
\mathrm{Ka} \;=\; \frac{[\mathrm{H^+}]\,[\mathrm{A^-}]}{[\mathrm{HA}]} .
\]

To calculate Ka, determine the equilibrium concentrations (from pH and the initial concentration or by solving the ICE quadratic), substitute them into the formula, and evaluate. If dissociation is small relative to the initial concentration, use the approximation \(\mathrm{Ka}\approx [\mathrm{H^+}]^2 / C\) to simplify calculations.

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Chemistry FAQs

What is the definition of Ka

The acid dissociation constant is the equilibrium constant for H⇌ H+ + A−, given by \(K_= \frac{\left[\mathrm{A}^-\right]\left[\mathrm{H}^+\right]}{\left[\mathrm{HA}\right]}\).

How do I calculate Kfrom equilibrium concentrations

Substitute equilibrium molar concentrations into \(K_= \frac{\left[\mathrm{A}^-\right]\left[\mathrm{H}^+\right]}{\left[\mathrm{HA}\right]}\). Ensure activities approximate concentrations, and include ionic strength corrections for high precision.

How do I get Kfrom initial concentration and percent dissociation

For initial acid concentration \(c\) and fraction dissociated \(\alpha\), use \(\left[\mathrm{H}^+\right]=\left[\mathrm{A}^-\right]=\alphc\) and \(\left[\mathrm{HA}\right]=c(1-\alpha)\). Then \(K_a=\dfrac{\alpha^2 c}{1-\alpha}\).

How do I compute Kfrom pKa

Convert pKto Kusing \(K_a=10^{-pK_a}\). This is exact because \(pK_a=-\log_{10}K_a\).

How do I calculate Kgiven pH and initial acid concentration

If the acid is the main proton source, \(\left[\mathrm{H}^+\right]=10^{-pH}\) and \(\left[\mathrm{A}^-\right]\approx\left[\mathrm{H}^+\right]\). Then \(K_a=\dfrac{\left[\mathrm{H}^+\right]^2}{c_0-\left[\mathrm{H}^+\right]}\), where \(c_0\) is initial acid concentration.

How can I find Kfrom titration data

Use the Henderson Hasselbalch relation \(pH=pK_a+\log\frac{\left[\mathrm{A}^-\right]}{\left[\mathrm{HA}\right]}\). At half equivalence \(\left[\mathrm{A}^-\right]=\left[\mathrm{HA}\right]\), so \(pH=pK_a\) and \(K_a=10^{-pH}\) at that point.

How do I handle polyprotic acids when calculating Ka

Treat each dissociation step separately. For the first dissociation use \(K_{a1}=\dfrac{\left[\mathrm{H}^+\right]\left[\mathrm{H}_{n-1}\mathrm{A}^{-}\right]}{\left[\mathrm{H}_n\mathrm{A}\right]}\). Later steps use successive Kvalues. Solve coupled equilibrior use successive approximations when Kvalues differ by several orders of magnitude.
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