Chromatogram
Chart overview
Chromatograms display detector signal (UV absorbance, flame ionization, or mass ion current) as a function of retention time, enabling identification and quantification of separated mixture components.
Key points
- Analytical chemists annotate each eluting peak with compound name, retention time, and integrated area or percentage to report purity and composition.
- Resolution, tailing factor, and theoretical plates are calculated from peak shape parameters for method validation reports.
Example Visualization
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View example prompt
"Create a chromatogram from my data. Plot retention time (minutes) on the x-axis and detector response on the y-axis as a continuous line. Detect and annotate each peak with its retention time label and shade the peak area with a light fill. Add a flat baseline at zero and use journal formatting with Arial font and no top or right spines."
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AI Generation
Our AI analyzes your data and generates the Chromatogram code automatically.
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Python Code Example
Console Output
Figure saved: plotivy-chromatogram.png
Common Use Cases
- 1Determining purity and identifying impurity peaks in pharmaceutical API lots
- 2Quantifying amino acid or metabolite concentrations in biological samples
- 3Monitoring reaction progress and product formation over time by repeated injection
- 4Method development and validation for food safety contaminant analysis
Pro Tips
Use scipy.signal.find_peaks with a minimum height and prominence to automate peak detection
Shade each integrated peak area with a unique color at low alpha to distinguish compounds visually
Include a system suitability table (resolution, tailing factor) as a text box inset on the figure
Overlay a blank or reagent blank chromatogram to identify solvent or matrix interference peaks
Scientific Chart Selection Cheat Sheet
Not sure whether to use a Violin Plot, Box Plot, or Ridge Plot? Download our single-page reference mapping the most-used scientific chart types, exactly when to use them, and the core Matplotlib/Seaborn functions.