Linked Life Data

17478128

Source:http://linkedlifedata.com/resource/pubmed/id/17478128

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1-2
pubmed:dateCreated
2007-6-29
pubmed:abstractText
Using isocratic column-switching high-performance liquid chromatography (HPLC) we established a group method for automated quantitative analysis of the antiepileptic drugs lamotrigine, oxcarbazepine and its metabolite 10-monohydroxycarbazepine (MHD) that are also used in psychiatry as mood stabilizers. Samples were cleaned from interfering proteins and lipids by transfer onto a pre-column, using a PerfectBond C-8 material, with 8% acetonitrile in water as a pre-column eluent. Separation was performed by elution onto the analytical column (Betasil C6 5 microm, 250 mm x 4.6 mm) at a flow rate of 1.0 ml/min with potassium dihydrogenphosphate buffer (20 mmol/l, pH3.0)/acetonitrile (70/30; v/v) as analytical eluent. UV-spectrophotometric detection was set to 215 nm for all three compounds. The analytical run was finished within 18 min. Detection limit was 30 ng/ml for lamotrigine, 35 ng/ml for oxcarbazepine and 25 ng/ml for 10-monohydroxycarbazepine. The method was found to be suitable for automated analysis of serum samples of patients treated with lamotrigine and oxcarbazepine.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jul
pubmed:issn
1570-0232
pubmed:author
pubmed:issnType
Print
pubmed:day
1
pubmed:volume
854
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
338-44
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
Development of a simple column-switching high-performance liquid chromatography (HPLC) method for rapid and simultaneous routine serum monitoring of lamotrigine, oxcarbazepine and 10-monohydroxycarbazepine (MHD).
pubmed:affiliation
Clinical Pharmacology/Psychopharmacology of the Department of Psychiatry, Psychosomatic and Psychotherapy, University of Regensburg, Universitaetsstrasse 84, D-93053 Regensburg, Germany. christine.greiner@kinik.uni-regensburg.de
pubmed:publicationType
Journal Article, Validation Studies