MS/MS as an LC Detector for the Screening of
Drugs and Their Metabolites in Race Horse Urine
Gargi Choudhary and Diane Cho, Thermo Fisher Scientific, San Jose, CA
Wayne Skinner and Scott Stanley, University of California–Davis
Application
Note: 346
Key Words
• LCQ Advantage
MAX
™
• Surveyor
™
• Data Dependent
™
• Drug Screening
• Metabolite ID
• Toxicology
Introduction
Imipramine is a tricyclic antidepressant drug that is not
a Drug Enforcement Administration controlled substance
but has been classified by the Association of Racing
Commissioners International Inc. as a class two drug in
horses. Desipramine is a major metabolite of imipramine.
These two analytes were analyzed on-line by LC–PDA
MS/MS from extracts of horse urine. The urine sample
was first treated with -glucuronidase to hydrolyze
glucuronide conjugates of imipramine and desipramine.
This was followed by solid phase extraction. The
concentration of imipramine and desipramine in the
sample was determined by the internal standard method
using the peak area ratio and linear regression analysis.
This application note presents a rapid method for
quantitation of imipramine and desipramine in horse
urine. It illustrates the advantages of MS/MS detection
in terms of specificity, sensitivity and unambiguous identi-
fication, for the analysis of drugs and their metabolites.
Goal
1) Develop a rapid method to identify and quantitate
tricyclic antidepressant imipramine and its major
metabolite desipramine in horse urine.
2) Demonstrate the advantages of using MS/MS to
identify and confirm the detection of imipramine
and its metabolites.
3) Determine presence and structure of minor metabolites
using Data Dependent LC-MS/MS analysis.
Experimental Conditions HPLC
LC system:
Thermo Scientific Surveyor MS Pump,
Surveyor Autosampler and Surveyor PDA
Detector
Mobile phase: A: water containing 0.2% formic acid
B: Acetonitrile containing 0.2% formic acid
Column:
50
!
2.1 mm, 5 µm Thermo Scientific
Hypersil
™
C18 Column
Injection
volume:
1 µL
Flow rate:
200 µL/min
Gradient:
Time (min)
% A
%B
0
98
2
0.2
98
2
8
25
75
9
10
90
10
10
90
10.01
98
2
15
98
2
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