Titration Curve
Chart overview
Titration curves show the pH change as a titrant is incrementally added to an analyte solution, with characteristic sigmoidal shapes revealing pKa values, equivalence points, and buffer capacity.
Key points
- Analytical chemists use these plots to determine unknown acid/base concentrations, characterize polyprotic systems, and validate potentiometric methods.
- Marking the half-equivalence point (where pH = pKa) and the inflection point with derivatives is standard practice in quantitative analysis.
Python Tutorial
How to create a titration curve in Python
Use the full tutorial for implementation details, troubleshooting, and chart variations in matplotlib, seaborn, and plotly.
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"Create a titration curve from my data. Plot titrant volume (mL) on the x-axis and pH on the y-axis as a smooth sigmoidal curve. Mark the equivalence point with a dashed vertical line. Shade the buffer region around the half-equivalence point and add a horizontal dashed line at the pKa value. Use journal formatting with Arial font and no top or right spines."
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Python Code Example
Console Output
Figure saved: plotivy-titration-curve.png
Common Use Cases
- 1Determining the concentration of unknown acids or bases by endpoint detection
- 2Measuring pKa values of weak acids and bases for pharmaceutical pH-solubility profiling
- 3Characterizing buffer capacity and optimal buffering range for biochemical assays
- 4Validating potentiometric titration methods in quality control laboratories
Pro Tips
Plot the first derivative (dpH/dV) on a secondary axis to pinpoint the equivalence point precisely
Use scipy.optimize to fit a logistic function and extract the inflection point analytically
Shade the buffer region (pKa +/- 1 pH unit) with a light fill to communicate buffering capacity
For polyprotic acids, annotate each equivalence point and label each pKa individually
Long-tail keyword opportunities
High-intent chart variations
Library comparison for this chart
matplotlib
Best when you need full control over axis formatting, annotation placement, and journal-specific styling for titration-curve.
numpy
Useful in specialized workflows that complement core Python plotting libraries for titration-curve analysis tasks.
scipy
Useful in specialized workflows that complement core Python plotting libraries for titration-curve analysis tasks.
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