Evidence collected from crime scenes often includes unknown
powders, pills, and tablets, many of which are illicit drugs difficult to
identify visually. Presumptive color tests help with the on-scene recognition
of drug materials via rapid color changes. Most of these tests are based on
qualitative chemical reactions and have since been standardized. Although
simple and rapid, qualitative tests provide only preliminary analytical data.
Nevertheless, these tests are still important components of crime scene
investigations, and government authorities deploy them to detect illicit drugs
in the field. Understanding the chemistry behind presumptive color tests makes
it possible to predict reactions to known drug standards. However, in the
presence of cutting agents and other chemicals, the results of presumptive
color tests may not be predictable due, in part, to interference by
contaminating chemicals. Most described presumptive tests are developed for
‘classic’ drugs, such as opiates, amphetamines, and cocaine, but new
psycho-active substances and cutting agents emerge every day on the market.
Among them, alkaloids (e.g., lobeline, caffeine, piperine) can be purchased
easily and legally via the Internet or in local shops and are often utilized to
lace or cut drugs. This study is the first to predict and document the results
on 7 of the most common presumptive color tests with various alkaloid
standards.
Weassessed these tests with mixtures of alkaloids to ascertain interference, if
any, in the color results. We performed presumptive color tests on various
popular cutting agents and, finally, tested several mixtures of
drugs/alkaloids/cutting agents potentially similar to samples seized in the
field. The results showed that color prediction worked well with pure
standards, but color tests could not be predicted for mixtures in most cases.
Also, alkaloid cutting agents often interfere with presumptive color test results,
affecting outcomes. Better understanding of presumptive color tests, coupled
with better populated databases of color results involving cutting agents, will
help in reducing false positives and false negatives, thereby improving initial
testing of seized evidence.
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