Forensics: Popular Science
Publicity surrounding high profile crimes has popularized the
science of forensics. Creating undergraduate laboratory experiments around forensic
science or mock crime scenes is an excellent way to stimulate student attention,
retention, and teach old but important concepts in a new way.
Fingerprints
All students know that every person can be identified by their fingerprints. However,
the idea of spectroscopic fingerprints is not as obvious. This idea is an excellent lead
into the principles of characteristic spectral features and "fingerprint"
regions.
The spectrum of methamphetamine, shown above, provides students with an example of a
spectroscopic fingerprint. This spectrum contains spectral features characteristic of
monosubstituted benzene (996 cm-1). This is the "chemical family"
that methamphetamine belongs to. Specifically, the isopropyl carbon-carbon stretching at
836 cm-1 differentiates it from its close relative, amphetamine.
Give your students two white powder samples. Have them fingerprint them with Raman to
identify which is illicit and which is ordinary powdered sugar. DeltaNu systems require
only microliter quantities of samples, there is no need to prepare or dispose of
expensive, toxic, or regulated materials.
Anatomy of a Bomb
Aside
from providing chemical fingerprints to solve crimes, spectroscopy is used every day for
security. These days very few people are unfamiliar with airport security. Another example
of Raman spectroscopy and its special ability to identify materials comes from nature of
explosives. We obtained a small sample of trinitrotoluene (TNT) from our local fire
department. It takes seconds and a few milligrams of this explosive to teach your students
several fundamental principles of Raman spectroscopy. The spectrum of TNT below was
acquired in 5 seconds. The feature at 1350 cm-1 is characteristic of
nitroaromatics. Why is the nitro group’s vibration so large in the Raman spectrum? Why
do high explosives contain nitro groups?
The look and taste of medicine
Pharmaceutical
industries do a great cover up when they make our medicine. This is easily demonstrated
with Raman spectroscopy. Have your students bring in a pill for Raman analysis. You and
your students will be amazed at what the spectra will show when they analyze their pills.
On the exterior, Raman spectra of most pills will look the same and not very complex.
Drugs are coated to look appealing and to cover up the bad taste. TiO2 is
commonly used as the coating and base pigment. TiO2 is also the base for common
house paints!
An educational experience really begins when students scrape off the exterior paint and
look inside. Visually, the outside often does not look any different from the inside. But
the taste is very different and the Raman spectrum will be very different. In this
example, we used Ambien™, a popular sleep aid. The first tip off that something is
strange in the Raman spectrum of an Ambien™ tablet is that the complex chemical
structure of Ambien™ produces what appears to be a simple Raman spectrum. Have some TiO2
on hand to show your students that they are swallowing house paint along with their
medicine. As they scrape down a little further and they get past the coating they should
see Raman features due to the drug. We found that Ambien™ (or, most likely, additional
additives) possessed a fluorescent background.
Challenges of Real World Samples
Raman
spectroscopy of forensic samples often challenges the students. Many prescription and
nonprescription drugs contain fillers that produce a background in the Raman spectrum.
Ambien™ provided such a challenge! The chemical structure of Ambien™ (easily found on
the www) is not simple. Its spectrum contains many peaks. To obtain a quality Raman
spectrum requires some effort and is guaranteed to keep the industrious student occupied
for a while learning firsthand about the relationship between integration, signal
averaging, and baseline correction.
Our Advantage 200A has a unique real-time baseline feature that automatically subtracts
the spectrums own baseline. This is the best approach to challenging samples. Once a good
spectrum is acquired and saved, it can be further refined in a spectral data manipulation
program such as Grams (www.galactic.com/) or ACD (www.acdlabs.com). The DeltaNu software also allows the
user to zoom into specific regions of the spectrum. For our analysis of Ambien™, once we
scraped off the TiO2 coating, we were most interested in the spectral region
between 800 and 1650 cm-1. This region contained over 10 features than could be
used to "fingerprint" the tablet.
Ask your students why it is best to integrate longer, why it is important to signal
average if your sample has a high background, and how the DeltaNu system can remove most
baseline features automatically.