Portable device lights the way to better foodborne illness detection

Researchers at Purdue University have been working to develop new technologies to help stop the spread of foodborne illnesses, which kill 3,000 people a year, by detecting them more efficiently. They have developed a bioluminescence-based assay coupled with a portable device that works with smartphones and laptops to do on-site testing for harmful E. coli in food samples.

The silicon photomultiplier (SiPM) device uses low light to from the bioluminescent assay to detect the presence of bacteria that cause foodborne illness in food samples. The Purdue team also created an electrical circuit with an amplifier, comparator and micro controller to send the data to laptops and smartphones via Bluetooth technology. They used 3D printing to design a portable cradle for the SiPM. The research is published in the January edition of Applied Optics.

"Our goal is to create technology and a process that allows for the cost-effective detection of the causes of foodborne illness using an easy, expedient and efficient process," said Euiwon Bae, a senior research scientist of mechanical engineering in Purdue's College of Engineering, who developed the technology along with Bruce Applegate, a professor of food science in Purdue's College of Agriculture. "This time frame allows for better integrated detection and quicker action to stop more people from getting sick."

To show the proof of concept, the Purdue team tested the device with artificially contaminated samples of ground beef from a local grocery store. They injected E. coli into the beef samples and then used their device to analyze the sample within 10 hours of inoculation.

The beef is rinsed and incubated with an enrichment liquid containing a modified phage, a virus for bacteria. The phage then infects harmful foodborne bacteria so that when a substrate is added, the bacteria emit light, which is detected by the SiPM. The device is able to count light pulses or photons.

"Our assay offers higher sensitivity, lower cost, better portability and other distinct advantages when compared to existing detection methods," Applegate said.