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Uncertainty-driven Model-based Search Methods for Method Development in Liquid Chromatography
DOI:10.1016/j.chroma.2026.467071.png)
Abstract
En 中文
• Model-based method development is equipped with a predictive uncertainty function. • Resulting uncertainty patterns are used in a novel uncertainty-driven search approach. • Uncertainty-driven searches can outperform a conventional CRF-driven approach. • Advantage becomes most apparent when peak detection is most difficult.
Keywords:
Model-based search
Uncertainty-driven approach
Liquid chromatography
Peak detection
Method development
Journal
IF:
4
Papers:
3.2W
Citations:
5.0W

