FTIR Spectrum
Chart overview
FTIR spectra reveal the infrared absorption fingerprint of a material by plotting percent transmittance or absorbance against wavenumber (cm-1), enabling identification of functional groups such as O-H, N-H, C=O, and C-O stretches.
Key points
- Polymer scientists, pharmacists, and surface chemists use FTIR to confirm synthesis, track degradation, and verify material composition.
- Annotating characteristic absorption bands against reference tables is standard practice in analytical chemistry publications.
Python Tutorial
How to create a ftir spectrum in Python
Use the full tutorial for implementation details, troubleshooting, and chart variations in matplotlib, seaborn, and plotly.
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"Create an FTIR spectrum from my data. Plot wavenumber (cm-1) on the x-axis (reversed, 4000 to 400) and percent transmittance on the y-axis. Annotate the most significant absorption peaks with their wavenumber values and corresponding functional group assignments. Add shaded regions for the fingerprint region (400-1500 cm-1). Use journal formatting with Arial font and no top or right spines."
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Python Code Example
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Common Use Cases
- 1Confirming functional group presence and polymer structure after synthesis
- 2Monitoring surface functionalization of nanoparticles and biomaterials
- 3Identifying pharmaceutical excipients and detecting drug-excipient interactions
- 4Tracking thermal degradation and oxidation of polymers over time
Pro Tips
Reverse the x-axis from 4000 to 400 cm-1 to follow standard FTIR spectroscopy convention
Shade the fingerprint region (400-1500 cm-1) with a light gray fill to distinguish it visually
Use inverted y-axis (transmittance) or normal y-axis (absorbance) and label clearly to avoid confusion
Overlay ATR-FTIR spectra of starting material and product to highlight chemical transformation evidence
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 ftir-spectrum.
numpy
Useful in specialized workflows that complement core Python plotting libraries for ftir-spectrum analysis tasks.
scipy
Useful in specialized workflows that complement core Python plotting libraries for ftir-spectrum analysis tasks.
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