EMBARGOED FOR RELEASE: Monday, March 17, 2014, 9:45 a.m. Eastern TimeNote to journalists: Please report that this research was presented at a meeting of the American Chemical Society.
Newswise — DALLAS, March 17, 2014 — Body odor is a deer hunter’s worst enemy, an alert to animals that an ominous presence is lurking, but the science behind suppressing it to give hunters an edge oddly enough could help researchers develop a life-saving device for diabetes patients. Scientists today presented the latest advances that tie together these two seemingly unrelated fronts at the 247th National Meeting & Exposition of the American Chemical Society (ACS), the world’s largest scientific society.
The meeting, attended by thousands of scientists, features more than 10,000 reports on new advances in science and other topics. It is being held at the Dallas Convention Center and area hotels through Thursday.
“The scent of a single person is a complex mixture of hundreds of compounds given off by bacteria, which live in our bodies and on our skin,” said Shamitha Dissanayake, who gave the presentation. Scent compounds also come from the human body itself when it breaks down molecules to make energy. The odors are emitted through the skin and breath.
These substances evaporate easily in the air and are called volatile organic compounds (VOCs). In a lab at Mississippi State University (MSU), Dissanayake, a graduate student, and Todd Mlsna, Ph.D., the head of the lab, are figuring out the best way to collect and analyze VOCs from body and breath odor.
Their ultimate goal is to use VOC detection to diagnose and monitor disease, but their expertise led to a unique collaboration with Bronson Strickland, Ph.D., a colleague in the MSU wildlife ecology department. He was studying odor-reducing products geared toward deer hunters.
“The hunting community, the deer hunters in this case, are always looking for ways to beat the deer, so to speak, in terms of scent control,” Strickland said. “A deer’s sense of smell, like a dog’s, can be anywhere from five hundred to a thousand times more acute than a human’s.”
Figuring out which specific ingredients of body odor spook deer is a tall order, Dissanayake said. Not only does each person give off a unique scent, but that scent varies depending on when someone eats, drinks, exercises and rests. To begin to address this challenge, he collected body odor samples from 65 subjects. Over four hours, they either wore an untreated T-shirt or a T-shirt treated with a commercial spray designed to eliminate or mask a hunter’s body odor — a task once accomplished with natural products such as skunk urine. The researchers tested a total of four products out of dozens on the market.
“It was a big challenge to handle such a complex data set with so many variables,” he said.
So, after collecting the body odor samples, Dissanayake recruited the help of a mathematician to tailor a data-crunching program for their needs. Based on his analysis of the subjects’ hundreds of VOCs, Dissanayake figured out that the sprays worked by greatly reducing the levels of 29 key compounds, either by killing the responsible bacteria, binding to the chemicals or converting them into less volatile compounds. To further narrow down the list, the next research step would entail seeing how deer react to these 29 candidates.
The techniques and analytical instruments the team used to look for deer-alerting odors overlap significantly with their methods in another area of the lab’s research: diabetes alert dogs.
Formerly known as juvenile diabetes, type 1 diabetes is a condition in which the body doesn’t make insulin. An estimated 3 million people in the U.S. may have the disease. When patients’ blood sugar rises or falls, they emit a different set of VOCs in their breath. Animal trainers have figured out how to get canines to sniff out changes in blood sugar levels, which can cause a number of symptoms including seizures. Specially trained dogs’ keen senses of smell have already saved some patients hundreds of trips to the hospital. But dogs are expensive, require a lot of care, and they get tired. Enter Dissanayake and Mlsna. They hope to translate their work into a portable electronic nose to do the dogs’ critical job tirelessly, 24-7.
“It’s exciting to work in this field,” Mlsna said. “We now have the combination of the analytical power and the computing power to really make sense of all these complicated data.”
A private company funded the work on the odor-eliminating sprays, and in support of the disease-monitoring research, Mlsna acknowledged funding from the National Science Foundation.
The American Chemical Society is a nonprofit organization chartered by the U.S. Congress. With more than 161,000 members, ACS is the world’s largest scientific society and a global leader in providing access to chemistry-related research through its multiple databases, peer-reviewed journals and scientific conferences. Its main offices are in Washington, D.C., and Columbus, Ohio.
CONTACT:Shamitha DissanayakeMississippi State UniversityDepartment of ChemistryBox 9573Starkville, Miss. 39762-9573Phone: 662-617-5331Email: email@example.com
Todd Mlsna, Ph.D.Mississippi State UniversityDepartment of ChemistryStarkville, Miss. 39759Phone: 662-325-6744Email: firstname.lastname@example.org
TitleHuman odor elimination efficacy analysis via Active SPME GCMS
AbstractHuman scent results from a complex mixture of chemicals emanating from the human body which are influenced by many internal and external factors. Numerous commercial scent elimination products aim to alter this chemical profile using a variety of mechanisms. We will present a method developed to extract maximum human body odor with minimum non-skin odor contaminations with minimum subject discomfort. The method was further developed to identify and compare the VOC profiles produced by humans to determine the effect of different scent elimination mechanisms using 4 different scent control products. Randomly selected human subjects (65) were tested with and without the selected products using our novel active SPME GCMS technique. Then standardized gas chromatography data were statistically treated with principal component analysis, discriminant analysis, and tree regression techniques to simplify and interpret complex outcomes associated with competitive scent elimination mechanisms of various agents in each product.