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Research workflows

Analyze an FTIR study series without losing the groups and replicates behind it.

For treatment groups, concentration series, formulations, time points or biological samples, keep the experimental structure visible while comparing spectra, multivariate patterns and peak changes. Export the numerical evidence for independent statistics, figures and manuscript work.

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FTIR research batch with grouped spectra and PCA
Best forResearch projects where the comparison is between experimental groups

Use it for treatment and concentration series, material formulations, ageing or time-course studies, and biological groups where replicate behaviour matters to the conclusion.

Use it whenA single overlay or one match score cannot answer the study question

Inspect within-group consistency, between-group separation and the specific bands behind that separation instead of flattening several spectra into one visual comparison.

Research valueMove from an attractive plot to evidence your co-authors can inspect

Keep sample grouping, numerical outputs and spectral differences together so figures can be supported by exported values, methods and evidence during manuscript preparation or review.

Research principle:Multivariate separation is treated as a pattern to explain, not as a chemical conclusion by itself. Use the spectral regions, peak changes and literature evidence to support the interpretation.
Study structure

Keep groups, replicates and individual spectra visible.

Build the analysis around the experiment you actually ran. Group spectra by condition, retain each replicate and review both group-level patterns and the individual spectra behind them.

  • Grouped spectrum comparison
  • Replicate-aware analysis
  • PCA and numerical comparison where available
  • Peak-difference analysis
  • Numerical exports for independent statistics
Grouped and replicate FTIR spectra in a research study
Scientific interpretation

Move from statistical separation back to the bands that changed.

Use peak-level differences and literature evidence alongside group and multivariate results. This helps distinguish a visually separated score plot from a defensible interpretation of the underlying FTIR changes.

  • Identify spectral regions contributing to group differences
  • Review peak shifts, intensity changes, new bands and missing bands
  • Connect assignments to literature evidence where available
  • Export numerical results for downstream figures and statistics
FTIR peak and literature evidence for research interpretation
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