Rapid Analysis of Benzoylecgonine in Urine by Fast Gas Chromatography-Mass Spectrometry
Author(s) -
Robert W. Romberg,
M. H. Jamerson,
K. L. Klette
Publication year - 2006
Publication title -
journal of analytical toxicology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.161
H-Index - 76
eISSN - 1945-2403
pISSN - 0146-4760
DOI - 10.1093/jat/30.8.554
Subject(s) - benzoylecgonine , chromatography , chemistry , coefficient of variation , mass spectrometry , gas chromatography–mass spectrometry , analyte , gas chromatography , metabolite , derivatization , solid phase extraction , quantitative analysis (chemistry) , extraction (chemistry) , urine , biochemistry
A novel fast gas chromatography-mass spectrometry (FGC-MS) analytical method for benzoylecgonine (BZE) has been developed to improve the efficiency of specimen analysis without diminishing the reliability of metabolite identification and quantification. Urine specimens were spiked with deuterated internal standard (BZE-d8), subjected to solid-phase extraction, and derivatized with pentafluoropropionic anhydride (PFPA) and pentafluoropropanol (PFPOH). The pentafluoropropyl ester derivative of BZE was identified and quantified using both a standard GC-MS method and the newly developed FGC-MS method. Shorter GC analyte retention times were made possible in the FGC-MS method by employing a 220-volt GC oven controller, which allowed an increased temperature ramp rate. The FGC-MS method was linear between 25 and 10,000 ng/mL of BZE yielding a correlation coefficient of 0.9994. The intra-assay precision of a 100 ng/mL BZE standard (n=15) yielded an average concentration of 99.7 ng/mL and a coefficient of variation of 1.2%. The interassay precision of 21 sets of 50, 100, and 125 ng/mL BZE controls was found to be acceptable, with coefficients of variation less than 2.4%. No interference was observed when the FGC-MS method was challenged with cocaine, ecgonine, ecgonine methyl ester, and nine other drugs of abuse. Analysis of presumptively positive specimens (n=146) by both analytical methods yielded comparable results with a correlation coefficient of 0.996. The FGC-MS method, when compared with a standard GC-MS method, reduces total assay time by approximately 50% while demonstrating comparable reliability.
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