Literature DB >> 9188830

Forensic analysis of eleven cyclic antidepressants in human biological samples using a new reversed-phase chromatographic column of 2 microm porous microspherical silica gel.

E Tanaka1, M Terada, T Nakamura, S Misawa, C Wakasugi.   

Abstract

A high-performance liquid chromatographic method has been developed for the forensic analysis of eleven frequently used cyclic antidepressant drugs (ADSs) (amitriptyline, amoxapine, clomipramine, desipramine, dosulepine, doxepin, imipramine, maprotiline, melitracen, mianserine and nortriptyline) using a recently developed reversed-phase column with 2 microm particles for the analysis of biological samples. The separation was carried out using two different C8 reversed-phase columns (column 1: 100 mm X 4.6 mm I.D., particle size 2 microm, TSK gel Super-Octyl; column 2: 100 mm X 4.6 mm I.D., particle size 5 microm, Hypersil MOS-C8) for comparison. The mobile phase was composed of methanol-20 mM KH2PO4 (pH 7) (60:40, v/v) and the flow-rate was 0.6 ml/min for both columns. The absorbance of the eluent was monitored at 254 nm. When the eleven drugs were determined, the sensitivity with the 2 microm particles was about five times greater than with the 5 microm particles. Retention times on column 1 were shorter than those on column 2. These results show that the new ODS column packing with a particle size of 2 microm gives higher sensitivity and a shorter analysis time than the conventional ODS column packing when applied to the analysis of biological samples.

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Year:  1997        PMID: 9188830     DOI: 10.1016/s0378-4347(96)00510-5

Source DB:  PubMed          Journal:  J Chromatogr B Biomed Sci Appl        ISSN: 1387-2273


  1 in total

1.  Carbon nanotube-modified monolithic polymethacrylate pipette tips for (micro)solid-phase extraction of antidepressants from urine samples.

Authors:  Beatriz Fresco-Cala; Óscar Mompó-Roselló; Ernesto F Simó-Alfonso; Soledad Cárdenas; José Manuel Herrero-Martínez
Journal:  Mikrochim Acta       Date:  2018-01-24       Impact factor: 5.833

  1 in total

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