on the enantiomerization temperature, different chromatographic
techniques (e.g., DGC, DHPLC, DMEKC) may be applied for the
quantification of the enantiomerization process at a given time
and temperature.
on-column UV detector (Bischoff Lamda 1000, Leonberg, Ger-
many) and a thermostated homemade water cooling system with
integrated temperature control (Haake D8-GH, Haake, Karlsruhe,
Germany). The effective length of the fused silica capillary
(Microquartz, Munich, Germany) was 95 cm (total length 112),
the temperature-regulated length was 76 cm, and the inner
diameter was 50 µm. Unless otherwise stated, 60 mM sodium
cholate (SC), as a chiral surfactant, introduced by Terabe et
al.,18,23-26 was used dissolved in 20 mM borate/ phosphate buffer
solution at a pH of 8. The temperature of the thermostated zone
ranged from 0 to 30 °C. UV detection was performed at 230 nm.
Peak integration was carried out with a Chromatopak C-R6A
integrator (Shimadzu, Kyoto, Japan).
Untreated silica capillaries were conditioned for 30 min with
0.1 M NaOH solution. Afterward, the capillary was purged with
running buffer for 30 min. Between injections, the capillary was
rinsed with running buffer for 5 min. Before any change of analyte
or buffer concentration, the capillary was treated with 0.1 M NaOH
solution for 10 min, followed by running buffer for 30 min.
Injections were performed hydrodynamically at the anodic side
by applying a pressure of 20 mbar for two seconds. A voltage of
+25 kV was used for separation.
Computer Simulation. For the calculation of the enantiomer-
ization barrier, the plateau height, hplateau; peak width at half-height,
wh; total retention times, tR, of the enantiomers; and the electroos-
motic break through time, t0, (using dimethylformamide as a
marker) of the experimental chromatograms were used. Since
the peak profiles of interconverting enantiomers are broadened
(tailing of the first eluted enantiomer and fronting of the second
eluted enantiomer), plate numbers have to be adjusted for
simulation to fit the experimental chromatogram. While the use
of effective plate numbers, Neff, in the simulation leads to peak
widths of the simulated chromatogram that are too large, the use
of the theoretical plate numbers, Nth, leads to peak widths that
are too small. Therefore, as a compromise, mean plate numbers
Nh, calculated from the modified eq 1,15 were applied. This equation,
established for gas-chromatographic two-phase systems,16 can be
adopted here because of the long retention time of the micellar
pseudo stationary phase (using Sudan III as a marker) and the
relative insensitivity of the simulation program toward errors in
plate numbers, N.
By comparison of experimental and computer-simulated chro-
matograms, kinetic activation parameters (∆Hq and ∆Sq) of
enantiomerization are obtained. The first simulation program was
published in 19845 and based on the theoretical plate model; later
it was extended to simulations of up to 120 000 effective plates
(SIMUL).6,16 The stochastic model,19-21 which treats peaks as a
Gaussian curve and utilizes a probability distribution to describe
the interconverting species of the enantiomers, has also been
applied for the determination of enantiomerization barriers.10,11
The new program ChromWin22 allows simulation with the theo-
retical plate model, the stochastic model, and a modified stochastic
model and is running on a personal computer under Windows. It
allows the simulation of chromatograms with large plate numbers
usually obtained by capillary gas chromatography and capillary
electromigration methods.
In the present study, dynamic micellar electrokinetic chroma-
tography (DMEKC) was applied to determine the enantiomeriza-
tion barrier of the chiral benzodiazepine drugs oxazepam,
temazepam, and lorazepam in a single-phase system whereby the
chiral surfactant is dissolved in the running buffer. The enantio-
merization barriers were determined by comparing elution profiles
obtained experimentally by DMEKC in the presence of sodium
cholate with elution profiles simulated with the ChromWin
program. The present examples were selected (i) to show the
applicability of DMEKC as a general method for the determination
of enantiomerization barriers, (ii) to demonstrate the efficiency
of the simulation program at large plate numbers, and (iii) to prove
the applicability of both the theoretical plate model and the
stochastic model to one-phase systems involving chromatographic
partitioning in the presence of micelles (MEKC).
EXPERIMENTAL SECTION
Materials. The tranquilizers, oxazepam, temazepam, lorazepam,
and the sodium phosphate (NaH2PO4 99%) and sodium borate
(Na2B4O7 ‚10 H2O 99%) buffer salts were purchased from Sigma-
Aldrich (Deisenhofen, Germany). The sodium salt of 3R,7R,12R-
trihydroxy-5â-cholic-acid (purum) was obtained from Fluka (Buchs,
Switzerland). One molar HPLC grade sodium hydroxide solution
(E. Merck, Darmstadt, Germany) was diluted with 18.2 MΩ high
purity water obtained from a Millipore-Q System (Millipore,
Marlborough, Massachusetts). High-purity water, 18.2 MΩ, was
also used to prepare the borate and phosphate buffer solutions.
All benzodiazepine samples were dissolved in HPLC-grade metha-
nol (E. Merck, Darmstadt, Germany), and the concentration was
adjusted to 0.1 mg/ mL. Before use, all sample and buffer solutions
were passed through a 0.45-µm disposable filter cartridge (Chro-
mafil, Machery and Nagel, Du¨ ren, Germany).
t (tR - tM)
Nh ) 5.545 R
(1)
(wh)2
The initially injected amounts of the enantiomers were set equal
for the racemic benzodiazepine samples. Peak form analysis was
performed with ChromWin according to the theoretical plate
model and the modified stochastic model using an improved
Newton algorithm in order to find the best agreement of the
simulated and experimental elution profiles in only a few simula-
tion steps. The program furnishes the apparent rate constants,
Capillary Electrophoresis. The separation of the enantiomers
of the three benzodiazepines was carried out with a Prince Unicam
Crystal 300/ 31 capillary electrophoresis system equipped with an
(23) Terabe, S.; Otsuka, K.; Ando, T. Anal. Chem. 1 9 8 5 , 57, 834-841.
(19) Keller, R. A.; Giddings, J. C. J. Chromatogr. 1 9 6 0 , 3, 205-220.
(20) Kramer, R. J. Chromatogr. 1 9 7 5 , 107, 241-252.
(24) Terabe, S.; Shibata, M.; Miyashita, Y. J. Chromatogr., A 1 9 8 9 , 480, 403-
411.
(21) Cremer, E.; Kramer, R. J. Chromatogr. 1 9 7 5 , 107, 253-263.
(22) Trapp, O.; Schurig, V. Comput. Chem. 2 0 0 0 , 24, in press. Information
available from the authors upon request.
(25) Otsuka, K.; Terabe, S. J. Chromatogr., A 1 9 9 0 , 515, 221-226.
(26) Muijselaar, P. G.; Otsuka, K.; Terabe, S. J. Chromatogr., A 1 9 9 7 , 780, 41-
61.
Analytical Chemistry, Vol. 72, No. 13, July 1, 2000 2759