Statistical Approach to Solvent Selection as Applied to Two-Dimensional Thin-Layer Chromatography

D. Nurok, S. Habibi-Goudarzi, R. Kleyle

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

Abstract

A statistical approach to the selection of solvent systems for two-dimensional thin-layer chromatography Is presented. Two functions are used as separation criteria for evaluating 28 two-dimensional solvent systems for the separation of each of 100 subsets of either six or ten steroids, randomly selected from a set of 15 steroids. This approach allows a probability to be assigned to each solvent system of its being highest ranked for separating any given subset of steroids. This probability varies from 0% to 49% for the solvent systems considered; It is influenced by size of the subset considered and, to a lesser extent, by the selection of separation criterion used.

Original languageEnglish (US)
Pages (from-to)2424-2428
Number of pages5
JournalAnalytical Chemistry
Volume59
Issue number19
DOIs
StatePublished - 1987

ASJC Scopus subject areas

  • Analytical Chemistry

Fingerprint Dive into the research topics of 'Statistical Approach to Solvent Selection as Applied to Two-Dimensional Thin-Layer Chromatography'. Together they form a unique fingerprint.

Cite this