Statistical Design of Experiments (DoE) tools are used to study how selected parameters influence chromatographic results within a defined space.
They are effective when:
- a reasonably good starting method already exists
- the separation problem is well understood
- the experimental space can be clearly defined
However:
- they rely on the quality of the initial method
- they do not inherently resolve complex selectivity challenges
- they require careful design and interpretation
- they may be less effective for complex samples or large molecules
ChromSword does not depend on predefined experimental designs. It actively explores chromatographic conditions, learns from results, and adapts dynamically.
This makes it particularly useful when:
- no suitable starting method exists
- the separation problem is complex or unknown
- rapid, practical method development is required