UV-Vis Spectrum
Chart overview
UV-Vis spectra plot absorbance or percent transmittance against wavelength (nm) to characterize electronic transitions in molecules, nanoparticles, and biological chromophores.
Key points
- Chemists use these plots to determine concentration via Beer-Lambert law, monitor reaction kinetics, and characterize plasmonic materials.
- Multiple overlaid spectra enable comparison of pH-dependent or solvent-dependent optical properties.
Python Tutorial
How to create a uv-vis spectrum in Python
Use the full tutorial for implementation details, troubleshooting, and chart variations in matplotlib, seaborn, and plotly.
Complete Guide to Scientific Data VisualizationExample Visualization
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"Create a UV-Vis absorption spectrum from my data. Plot wavelength (nm) on the x-axis and absorbance on the y-axis as a smooth line. Annotate the absorption maximum (lambda max) with a dashed vertical line and text label. If multiple samples are provided, overlay them with distinct colors and a legend. Use journal formatting with Arial font and no top or right spines."
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Python Code Example
Console Output
Figure saved: plotivy-uv-vis-spectrum.png
Common Use Cases
- 1Determining molar absorptivity and concentration using Beer-Lambert law calibration
- 2Monitoring nanoparticle synthesis via surface plasmon resonance peak shifts
- 3Characterizing chromophore and fluorophore optical properties across pH gradients
- 4Tracking enzyme kinetics and reaction progression via product absorbance over time
Pro Tips
Apply a Savitzky-Golay filter to smooth noisy raw spectra before plotting for publication figures
Use a secondary y-axis if overlaying transmittance and absorbance on the same plot
Shade the area under the main absorption peak with low alpha to highlight the region of interest
Include a baseline correction line at zero absorbance to indicate the solvent blank reference
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 uv-vis-spectrum.
numpy
Useful in specialized workflows that complement core Python plotting libraries for uv-vis-spectrum analysis tasks.
scipy
Useful in specialized workflows that complement core Python plotting libraries for uv-vis-spectrum analysis tasks.
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