Titration Curves: Concept and Construction
A titration curve answers one question. What happens to a measured signal as titrant trickles in, one microliter at a time? Plot a pH meter reading, an electrode potential, or a spectrophotometer absorbance against the volume of titrant delivered. A smooth, almost universal S-shape (or its inverted twin) appears. It is steep in the middle, flat at the ends. That shape is not decoration; it is the entire chemistry of the reaction. It is compressed into a single line on graph paper. Titration curves matter because they turn an abstract equilibrium calculation into something you can see. The inflection point, the buffer plateau, and the steepness of the jump all correspond to physically meaningful quantities: , , , formation constants. A chemist who can sketch a curve from a reaction and a set of concentrations, without touching a calculator until the very end, has internalized the equilibrium logic. That chemist understands it well enough to predict which indicator will work. They can tell whether a titration is even feasible. They can also judge how much error a small volume misread will cause near the endpoint. The big picture is that every titration — acid-base, complexometric, redox, or precipitation — is computed the same three-region way. Before the equivalence point, you have "leftover" analyte and a coordinated system. This might be a buffer, a nearly-saturated solution, or a poised redox couple. At the equivalence point, stoichiometry is exact. The reaction that defines the system is the auto-something: autoionization, disproportionation-like partitioning, or a formal cell reaction with set by the couple. After the equivalence point, titrant is in excess and dominates the signal outright. This article builds the general machinery — mass balance, charge balance, and the region-by-region logic. Every specific titration curve in this chapter borrows this machinery. By the end you will be able to construct any titration curve from first principles. You will identify the monitored quantity and write the three governing equations for the three regions. You will locate the equivalence point exactly. You will predict the curve's steepness and the size of the endpoint break. This scaffolding is exactly what powers the detailed curves you will meet for Strong Acid-Strong Base Titration Curves and Redox Titration Curves: The E-vs-Volume Plot. It rests entirely on the ideas in Titration Fundamentals: Equivalence Point vs Endpoint.
- A titration curve plots a monitored signal (pH, , pM, absorbance) versus titrant volume ; its shape encodes the underlying equilibrium constant.
- Three regions always appear: before equivalence (excess analyte governs), at equivalence (stoichiometric point, computed from the reaction's own equilibrium), after equivalence (excess titrant governs).
- The equivalence volume is fixed by stoichiometry alone: (1:1 case), independent of .
- The size of the endpoint break (signal near ) depends on concentration and on how favorable the reaction is (, , , or difference) — weak reactions give small, mushy breaks; strong/favorable reactions give sharp, tall ones.
- The curve is never symmetric about unless the reaction stoichiometry and both "sides" behave identically (rare); real curves usually lean one way.
- Constructing a curve is a five-step recipe: identify signal → write reaction and → compute → solve each region's equilibrium → plot and check limiting behavior.
- Key idea: every titration curve is three separate equilibrium calculations (before, at, after equivalence) stitched together at , and the curve's steepness there is a direct measure of how far the reaction runs to completion.
Where this lives today
Automated potentiometric titrators in pharmaceutical quality-control labs plot pH-, -, or pAg-vs-volume curves in real time and use first-derivative and second-derivative algorithms to locate the inflection point far more precisely than a human eye reading a plotted curve — the underlying region-by-region equilibrium logic developed here is exactly what the firmware is evaluating at every data point. Water-treatment plants monitor total hardness by EDTA titration curves (as in Example 2) to certify levels against regulatory limits. Clinical and forensic labs use argentometric titration curves (pCl or pAg versus volume) to certify chloride content in biological fluids and in Mohr/Volhard-type assays. Redox titration curves ( versus volume of oxidant or reductant) underlie iodometric determination of vitamin C content, dissolved oxygen (Winkler method), and %purity assays for reducing sugars and many pharmaceutical actives — each of these borrows the identical three-region logic, only swapping the governing equilibrium constant (here and the Nernst equation) for or . Because the curve-construction recipe generalizes so completely, it is the shared scaffolding beneath the specific curves for Strong Acid-Strong Base Titration Curves and Redox Titration Curves: The E-vs-Volume Plot, both of which specialize this same three-region machinery to their own governing equilibria.
:::faq[Is pH always the right quantity to plot, or could I plot [H+] directly?] You could plot directly, but the curve would be nearly useless to read: because changes by many orders of magnitude near while changing very little elsewhere, a linear -vs- plot would look like a flat line that suddenly drops to near-zero, with almost no visual detail in the regions chemists care about. The logarithmic pH transform (following Sørensen's original motivation) compresses that enormous dynamic range into a scale where the buffer region, the break, and the post-equivalence plateau are all comparably visible on the same axes — the same reasoning is why pM and (itself logarithmic in concentration via the Nernst equation) are the natural axes for complexometric and redox curves respectively.
Ask the tutor: How do I decide, just from the size and shape of a computed titration curve, whether a given indicator's color-change range will actually catch the equivalence point?
The physical picture — thorough prose
Imagine adding titrant to analyte one drop at a time, and after each drop, freezing time and asking, "what is the equilibrium composition of this beaker right now?" A titration curve is nothing more than the answer to that question, plotted as a continuous function of volume added. The reason this works at all — the reason we can even draw a smooth curve rather than a jumble of separate calculations — is that the same handful of governing relationships (mass balance, charge balance, and the relevant equilibrium constant) apply continuously as increases from zero to well past . The signal you plot is chosen because it responds sharply and specifically to the species being titrated. In acid-base titrations, that signal is pH, tracking via a glass electrode. In complexometric titrations (e.g., EDTA versus ), the signal is often pM , tracked with an ion-selective electrode or through a metal-indicator color change. In redox titrations, the signal is the cell potential of an inert indicator electrode (Pt) against a reference. In precipitation titrations, it is pAnion or pCation, e.g., pAg or pCl in an argentometric titration. Whatever the signal, the logic used to compute it region by region is identical, which is why this article treats them together before the specific curves (strong acid–strong base, redox -vs-, and others) get their own detailed treatment elsewhere. Three regions organize every calculation. Before the equivalence point, some analyte remains unreacted, and — critically — for weak-acid/weak-base, complexometric, and many redox titrations, the reacted and unreacted forms coexist in solution simultaneously, forming a buffer-like system whose signal is governed by a Henderson–Hasselbalch-type relationship or a Nernst-type relationship. At the equivalence point, moles of titrant equal moles of analyte (adjusted for stoichiometric ratio), and the solution composition is now determined by a new equilibrium — the reaction of the product species with the solvent (hydrolysis), or the standard potential of the couple, or the solubility product of the newly formed precipitate. After the equivalence point, titrant is in stoichiometric excess, and because the analyte's contribution becomes comparatively negligible, the signal is controlled almost entirely by the excess titrant concentration diluted into the total volume. The steepness of the curve near — the "endpoint break" — is the practical payoff of this three-region structure. A reaction that goes essentially to completion (large ) produces a curve that changes many pH units, volts, or pM units over a fraction of a milliliter, so an indicator with even a sloppy transition range will land inside the break. A reaction with modest (weak acid with weak-ish , poor complex stability, small difference) produces a shallow, rounded transition, and choosing (or even finding) a usable indicator becomes hard or impossible. Plotting the curve — literally or mentally — is therefore the diagnostic tool for asking "can this titration even be done visually?"
The core ideas — the governing equations/relationships
The mass balance for the analyte, valid at every volume of titrant added, states that total analyte (in whatever protonation/oxidation/complexation states) is conserved except for dilution:
where: is the analyte's initial molar concentration, its initial volume, the equilibrium concentration of each protonation/oxidation state at the current total volume . Reading: the total number of moles of analyte (in any form) never changes — only how it's distributed among forms, and how dilute it is, change as titrant is added. The equivalence volume follows from stoichiometry alone, before any equilibrium constant is invoked:
where: and are the stoichiometric coefficients of analyte and titrant in the balanced net reaction (e.g., for ), the titrant's molar concentration, the volume at which stoichiometric equivalence is reached. Reading: depends only on concentrations and stoichiometry — never on . The location of the equivalence point is chemistry-of-amounts; the shape of the curve around it is chemistry-of-equilibrium. The general dilution-corrected concentration of excess reagent, used heavily in the pre- and post-equivalence regions, is:
where: the numerator is a simple mole-difference (stoichiometry), the denominator is the total solution volume at that point — the single most common arithmetic error in titration problems is forgetting this growing denominator. Reading: every concentration in a titration is a "leftover moles divided by current total volume" statement; the curve bends because both numerator and denominator change with . The generic post-equivalence relationship, used whenever titrant is in excess, is:
where: is the extra volume of titrant added beyond equivalence. Reading: far past , the signal is controlled almost entirely by titrant, and the curve flattens again because grows roughly linearly while the logarithmic signal (pH, pM, via Nernst) compresses that growth.
Goal. Show explicitly, with a non-1:1, non-round-number reaction, that depends only on stoichiometry and initial amounts — never on the size of the equilibrium constant — and compute it for an asymmetric example.
Step 1 — Write the balanced net reaction. Consider titrating of oxalic acid, , with titrant of concentration , monitoring the second equivalence point (full deprotonation to ):
Here mole of acid reacts with moles of base — a deliberately non-1:1, asymmetric stoichiometry.
Step 2 — Count initial moles of analyte. Moles of oxalic acid initially present:
Step 3 — Apply the stoichiometric ratio. Because each mole of acid consumes two moles of base, moles of needed at the (second) equivalence point are:
Step 4 — Solve for from the titrant concentration alone. No equilibrium constant has entered yet — only stoichiometry:
Step 5 — Confirm -independence explicitly. Suppose oxalic acid's actual and were instead (hypothetically) ten times larger or smaller. Steps 2–4 never referenced or — only initial moles and the 1:2 stoichiometric ratio. Therefore regardless of the acid's strength; only the pH profile around that fixed volume, and the sharpness of the break there, would change with . This is the precise sense in which "location of " and "shape of the curve" are logically separate calculations.
Limiting case check. If the titrant were instead exactly matched 1:1 in a hypothetical monoprotic analog with the same total moles () and titrant concentration M, — exactly half of the value found above, confirming the factor of 2 from stoichiometry propagates linearly into , as it must.
Go deeper · Derivation B · 1 minSignal at the equivalence point is a distinct equilibrium problem, not an extrapolation of the pre- or post-equivalence formulas
Goal. Demonstrate, using a weak acid/strong base titration example with asymmetric, non-round numbers, that the equivalence-point signal must be computed from a new equilibrium (hydrolysis of the conjugate base) — it is not obtainable by naively extending the pre-equivalence buffer formula to "zero excess acid," and it is not simply pH 7.
Step 1 — Set up the system. Titrate of propanoic acid (, ) with NaOH. First find by stoichiometry (1:1):
Step 2 — Recognize why the pre-equivalence (Henderson–Hasselbalch) formula fails here. Before ,
is valid because both and coexist at measurable concentrations. Exactly at , essentially all has been converted to ; the ratio and the log term diverges — the formula is mathematically undefined at , so a different physical process (not "more of the same buffer math") must set the pH there.
Step 3 — Identify the correct equilibrium at : hydrolysis of . The solution now contains only the conjugate base (as sodium propanoate) diluted into the total volume :
This base hydrolyzes: , with
Step 4 — Solve the small- equilibrium. Let :
Check: , well under 5%, so the approximation is valid.
Step 5 — Convert to pH. , so
Step 6 — Contrast with the naive "pH 7" guess. The equivalence point of a weak-acid/strong-base titration is basic (pH , not 7.00), precisely because the product is itself a weak base. This is why phenolphthalein (transition range roughly pH 8.2–10) is the standard indicator choice for such titrations, while methyl orange (transition near pH 3.1–4.4) would signal the endpoint far too early.
Limiting case check. As larger values (a stronger acid), smaller, so and — recovering the familiar strong-acid/strong-base result exactly in the limit (or practically, ), as required.
Worked examples
Example 1 (Foundational): Sketching the three regions for a strong acid/strong base titration by hand. Titrate of HCl with NaOH. Compute pH at , (halfway to equivalence), (just before equivalence), (equivalence), and (past equivalence). Setup. by stoichiometry: , confirming the round numbers. At : pure M HCl (strong acid, fully dissociated):
At (pre-equivalence, excess HCl remaining): moles HCl initial ; moles NaOH added ; leftover ; total volume :
At (just short of equivalence): leftover ; total volume :
At (equivalence): strong acid + strong base neutralize completely to a neutral salt (NaCl) solution — no hydrolysis, since neither ion is a conjugate acid/base of a weak partner:
At (past equivalence): excess NaOH ; total volume :
Takeaway: between and (a mere window, well within one drop), the pH swings from about to about — a six-unit break in two drops — which is exactly why strong acid/strong base titrations are the easiest to detect visually.
Example 2 (Applied): A complexometric titration curve — pCa versus volume of EDTA. A water-hardness analysis titrates of with EDTA (as ) at a buffered pH where the conditional formation constant is (this already folds in the side-reaction coefficient at that pH). Compute pCa before, at, and after equivalence. Stoichiometry (1:1):
Pre-equivalence, at (excess remains): moles initial ; moles EDTA added ; leftover ; total volume :
(The tiny amount of released by dissociation of the already formed is negligible here because is large — the excess free metal dominates, exactly analogous to "excess weak acid dominates over its conjugate base's contribution" in the acid-base case.) At equivalence, : essentially all calcium is complexed as , and a small amount dissociates back. Total formal concentration of complex:
Let at equilibrium (equal to by 1:1 dissociation stoichiometry):
Check self-consistency: , under 5%, approximation valid. Post-equivalence, at (excess EDTA present): excess EDTA in :
Now nearly all calcium is still complexed (formal concentration ), and free is suppressed by the excess free ligand, exactly analogous to excess titrant suppressing residual species after equivalence in acid-base chemistry:
Takeaway: pCa rises from about to about to about across this narrow volume window — the same three-region S-shape as the acid-base curve, but tracking a metal ion via a formation-constant equilibrium instead of a proton-transfer equilibrium.
Example 3 (Exam/competition level): Finding the volume at which the curve's slope is steepest, and quantifying the break size for a weak acid, without assuming it equals is a maximum of anything but buffer capacity. A common exam trap conflates "half-equivalence point" (where and buffer capacity is maximum, i.e., the curve is flattest) with "point of steepest slope" (which, for a symmetric enough curve, sits near itself). Consider titrating of acetic acid () with NaOH, and quantify both. Stoichiometry: . Half-equivalence, : here by construction (half the acid has been converted), so
At this volume, is at its minimum magnitude — the curve is flattest here because the buffer resists pH change most strongly when (maximum buffer capacity ). Near equivalence, compare and to locate the steepest region. At : moles acid initial ; moles base added ; leftover ; formed ; total volume :
At the equivalence point itself, : total volume ; ; :
At (past equivalence, excess base): excess NaOH ; total volume :
Quantify the break. Over the window from to , pH rises from to — a jump of pH units — versus, for comparison, only about pH units across a similarly sized window straddling the half-equivalence point (a quick check: at and the ratio changes only from about to , giving ). This factor-of-70 difference in local slope is the rigorous statement of "the curve is steepest near and flattest near the half-equivalence point" — exactly the opposite of where naive intuition (thinking of as "the middle of the action") might mislead a student. Limiting case check. As increases toward that of a strong acid, (per the earlier derivation) and the pre/post-equivalence break widens further, since the buffer region's Henderson–Hasselbalch slope becomes even less relevant — consistent with Example 1's six-unit break for a fully strong acid/strong base pair, versus this weak-acid case's -unit break over the same-sized volume window.
Limiting cases, scope & common traps
| Situation | What happens to the curve | Why |
|---|---|---|
| Very large (strong acid/base, favorable redox couple, large or small ) | Tall, sharp break at | Reaction essentially complete; leftover reactant concentrations plunge to near-zero right at |
| Very small (very weak acid, poor complex, sluggish redox couple) | Shallow, rounded, sometimes unusable break | Substantial reactant remains uncombined even near ; no sharp signal change to detect |
| Dilute analyte/titrant | Smaller break (in magnitude) even for the same | Signal (e.g., ) scales with concentration; log-based signals compress less dramatically when everything is dilute |
| Polyprotic/polybasic analyte with well-separated 's | Multiple resolvable breaks (multiple 's) | Each stepwise equilibrium is effectively independent if successive 's differ by |
| Polyprotic analyte with close 's | Breaks merge into one smeared transition | Species distributions overlap; no volume range has a single dominant species |
| Signal = that of pure analyte solution | No titrant yet; boundary condition sanity check | |
| (large excess titrant) | Signal asymptotically approaches that of pure titrant, diluted | Analyte's contribution becomes negligible relative to enormous titrant excess |
The chemist behind it
The systematic use of potentiometric and colorimetric titration curves to diagnose reaction completeness, rather than simply detect an endpoint by eye, owes an enormous debt to the Danish biochemist Søren Sørensen, who introduced the pH scale in 1909 specifically to make sense of the region-by-region behavior chemists were already observing in acid-base titrations at the Carlsberg Laboratory. Sørensen's insight — that a logarithmic measure of hydrogen ion activity linearizes the enormous concentration swings near an equivalence point into a scale a human can read and plot sensibly — is the reason titration curves as we draw them (pH, not , on the y-axis) look the way they do. Later, the systematic tabulation of stepwise formation and dissociation constants, and their explicit use to predict titration curve shape before running an experiment, became a hallmark of quantitative analytical chemistry as formalized by figures such as Izaak Maurits Kolthoff, whose decades of work on precipitation and complexometric titrations (and on indicator theory) turned curve construction from empirical art into predictive calculation.
Origins · 1 minSøren Peter Lauritz Sørensen and how this was discovered
Sørensen trained originally in mineralogy before turning to chemistry, eventually directing the chemistry division of the Carlsberg Laboratory, where beer-brewing's exquisite sensitivity to pH-dependent enzyme activity drove urgent practical need for a rigorous acidity scale. His 1909 paper defining (originally written with a different notation convention) gave analytical chemistry the log-based axis that makes titration curves legible: without it, the enormous concentration range spanned near an equivalence point (often six or more orders of magnitude in ) would compress the interesting region into an unreadable sliver on a linear plot.
Why doesn't the titration curve look the same on both sides of the equivalence point?
Symmetry would require the pre- and post-equivalence equilibria to behave identically in a mathematical sense, which almost never happens. Before equivalence, the system is often a buffer (weak acid plus its conjugate base) whose signal follows a logarithmic ratio that changes slowly except very close to . After equivalence, the signal is set by a simple excess-titrant concentration diluted into a growing volume, which behaves differently as a function of . Even for strong acid/strong base titrations, the two sides are mirror images only because both involve simple excess-concentration logic with no buffering — a special, not general, case.
Can I always find V_eq just by looking for where the curve is steepest?
Approximately, yes, for many symmetric or near-symmetric titrations (strong acid/strong base is a good example), and this is exactly what first- and second-derivative algorithms in automated titrators exploit. However, for titrations with very asymmetric stoichiometry, very different pre- and post-equivalence chemistries, or overlapping multiple equivalence points (as in some polyprotic titrations), the maximum-slope point and the true stoichiometric can be slightly offset. Precise work locates from stoichiometry and standardized concentrations, using the curve's steepest region only as a practical detection tool.
Why is the equivalence point calculation always described as "a new equilibrium problem"?
Before equivalence, both reactant and product coexist, and their ratio (via Henderson–Hasselbalch, a Nernst expression, or an analogous relation) sets the signal. At the exact stoichiometric point, essentially only the product species is present (barring some backward dissociation), so the ratio-based formulas from the pre-equivalence region become mathematically undefined (division by ~zero or a diverging log term). The signal at must therefore be computed from whatever secondary equilibrium the product itself participates in — hydrolysis for a conjugate acid/base, dissociation for a metal complex, or the formal potential for a redox couple at exact stoichiometric mixing.
Does the shape of a titration curve depend on the concentration of analyte and titrant, even if K stays fixed?
Yes. More concentrated solutions generally produce a larger endpoint break in absolute concentration terms, though because most signals (pH, pM, ) are logarithmic, the effect on the plotted signal is more modest than it would be on a linear concentration scale. Still, at very low concentrations the pre- and post-equivalence excess-reactant concentrations can become comparable to concentrations generated by the equilibrium reaction itself (autoionization of water, background solubility, etc.), degrading or even eliminating a usable break — a real practical limit on how dilute a titration can be run.
How does this general framework extend to precipitation titrations, like titrating Cl⁻ with AgNO₃?
Identically in structure: before equivalence, excess remains, its concentration set by leftover moles over total volume (with a small, usually negligible, contribution from the tiny amount of needed to maintain equilibrium with the precipitate already formed). At equivalence, exactly, from the definition of the solubility product with equal free ion concentrations. After equivalence, excess dominates, and residual is suppressed via , exactly analogous to excess titrant suppressing a residual species in the acid-base or complexometric cases.
Why do textbooks emphasize plotting the curve rather than just reporting V_eq numerically?
Because alone doesn't tell you whether the titration is feasible with a given indicator or instrument. Two titrations can share the identical but have wildly different break sizes depending on and concentration — one might be trivially easy to detect visually, and the other might require potentiometric monitoring because no indicator's transition range fits inside the (tiny) break. Plotting or at least estimating the curve's shape near is the real diagnostic step; the stoichiometric calculation of is necessary but not sufficient for practical titration design.