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Separation and identification of antidepressants by acrylate‐based monolithic column capillary electrochromatography with UV detection
Author(s) -
Fu Hanzhuo,
McCord Bruce R.
Publication year - 2016
Publication title -
electrophoresis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.666
H-Index - 158
eISSN - 1522-2683
pISSN - 0173-0835
DOI - 10.1002/elps.201600279
Subject(s) - capillary electrochromatography , electrochromatography , chromatography , monolithic hplc column , identification (biology) , separation (statistics) , column (typography) , materials science , acrylate , capillary electrophoresis , analytical chemistry (journal) , chemistry , high performance liquid chromatography , computer science , polymer , composite material , copolymer , telecommunications , botany , frame (networking) , machine learning , biology
This paper details a method for separation and identification of six antidepressant compounds using an acrylate‐based porous monolithic capillary. Detection takes place using CEC coupled with UV or mass spectrometric detection. The CEC‐UV method provides an effective and efficient method for the separation and identification of the analytes. Spiked urine samples were utilized to check method capability, and a liquid–liquid extraction procedure was developed to perform sample extraction. Detection limits ranged from 10 to 30 ng/mL.