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Factorial design in isocratic high-performance liquid chromatography of phenolic compounds
Author(s) -
Antonije Onjia,
Tatjana Vasiljević,
Djuro Cokesa,
Mila Laušević
Publication year - 2002
Publication title -
journal of the serbian chemical society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.227
H-Index - 45
eISSN - 1820-7421
pISSN - 0352-5139
DOI - 10.2298/jsc0211745o
Subject(s) - chromatography , chemistry , resolution (logic) , high performance liquid chromatography , methanol , phenols , acetic acid , factorial experiment , fractional factorial design , capacity factor , column chromatography , organic chemistry , mathematics , computer science , statistics , artificial intelligence
A multifactor optimization strategy was utilized to predict the isocratic HPLC separation of nine phenols. The retention behavior was studied as a function of changing eluent (methanol - acetic acid) composition. The predicted and measured re- tentions are in rather good agreement. To locate the optimum in the factor space, the normal- ized resolution product criterion was applied. In virtually every case, the resolution is limited by the separation of the 2-chlorophenol and 2,4-dinitrophenol pair.

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