24
Methods for impurity profiling of heroin and cocaine
result of changes in electro-osmotic flow, which in turn results in an improvement in
resolution over time. A chromatogram taken from Lurie and others [35] showing a
typical separation obtained with a selection of basic compounds frequently found in
heroin samples and a table showing the corresponding relative migration times for
these and additional compounds appear in annex III as figure II and table 1.
Outcome: Indication of general source region (South-East Asia, South-West Asia,
Mexico, South America). Sample comparisons for discrimination and evaluation of
samples for case-to-case evidential purposes (linkage determinations). Additional infor-
mation is required to confirm links between samples or to assign source regions, that
is, the method should be used as one part within a broader analysis scheme.
Method A6.2:
Miscellar Electrokinetic Chromatography (MEKC)
Sample type: Major weakly basic, acidic and neutral components: cut and uncut samples.
Operating conditions: Agilent model HP
3D
CE
MEKC:
Column maintained at 15° C with an applied potential of
8.5 kV
Detector:
UV diode array
Monitored wavelength: 195 nm
Column:
32 cm x 50 µm fused silica (23.5 cm to detector window)
Run buffer:
103.2 mM sodium dodecylsulfate in 50 mM dibasic phos-
phate-borate buffer (pH 6.5)*
Injection solvent: 2:8 mixture of methanol and 3.75 mM monobasic sodium
phosphate buffer adjusted to pH 2.6 with phosphoric acid
Injection: 100
mbar*s
Initial column conditioning: Flush with 0.1M NaOH, then with water, then with
CElixir reagent A and then with 50 mM phosphate-borate buffer (each flush for one
minute). Finish with a six-minute run buffer flush.
Pre-injection column conditioning: Flush for two minutes with run buffer.
External standards: Accurately weigh approximately 10 mg of the appropriate stan-
dard material for each target analyte into a 100-ml volumetric flask. Dilute to volume
with injection solvent. Assure dissolution before diluting to final volume. Sonication
for 15 minutes is recommended.
Sample preparation: Use the sample prepared from the CZE run.
Reference chromatogram: see annex III, figure III and table 2.
*In the original reference, the run buffer was obtained from MicroSolv Technology, Eatontown,
New Jersey, United States.
Methods for impurity profiling
25
Rationale for use: A highly selective and rugged method that provides good quanti-
tative accuracy and precision. As noted above the costs associated with the method
are relatively low. Analyses times are short, resulting in a method capable of high
sample throughput. Effective mobilities are very reproducible, but increases in absolute
migration times are observed over time. The effect occurs owing to changes in electro-
osmotic flow, which in turn results in an improvement in resolution over time. Sugars
are not detected. A chromatogram taken from Lurie and others [35] showing a typical
separation obtained with a selection of weakly basic, acidic and neutral compounds
found frequently in heroin samples and a table showing the corresponding relative
migration times for these and additional compounds appear in annex III as figure III
and table 2.
Outcome: Sample comparisons for discrimination and evaluation of samples for case-
to-case evidential purposes (linkage determinations). Additional information is required
to confirm links between samples, that is, the method should be used as one part with-
in a broader analysis scheme.
3.
Methods for the determination of trace components
Methods described in this subsection are used to substantiate the results of the
methods for the analysis of major components described above.
All of the methods described below are designed for high-resolution capil-
lary GC and employ a liquid-liquid extraction step to isolate the acidic and neu-
tral components from the bulk basic fraction. The resulting extract produces an
analytical product that can be quite complex. It is not uncommon for the acidic
and neutral components extracted from a South-West Asian crudely refined heroin
base sample to yield a 250+ component high-resolution GC chromatogram.
Only a relative few of these compounds have been fully characterized [34, 36-39].
The most significant chemistry underlying the generation of a majority of these
250+ compounds is found in the works of Polonovski and Polonovski and of
Mariella and the associated papers [40-46].
The routine application of a computer algorithm for the comparison of such
complex data sets is not present in many laboratories. Rather, in those laborato-
ries lacking the appropriate computerized comparison capabilities, comparison of
trace impurity profiles is carried out by (visual) superimposition of chromatograms.
Virtually every manipulation of a sample carries with it some risk of sam-
ple degradation and, even in the hands of the most meticulous analyst, some sam-
ple degradation often occurs during an analytical process. For instance, two
common sources of degradation are contact with acid during the extraction process
and interactions with glass surfaces. When in the hands of a competent analyst,
degradation of a neutrals extract is typically not noticeable when the extract con-
tains at least 500 micrograms of total material. However, when the total amount
of extracted material is decreased significantly, as would be the case with highly
refined samples, then sample degradation during analysis becomes much more
of a concern. An example would be an extract obtained from a 50-mg sample