Researchers have introduced an innovative method to identify foodborne pathogens that offers a quicker, more cost-effective, and superior solution compared to current technologies. Their microfluidic chip utilizes light for the simultaneous detection of various pathogens and is manufactured through 3D printing, simplifying mass production and customization for targeting specific pathogens. The researchers anticipate that their approach will streamline screening procedures and prevent contaminated food from reaching consumers.
Occasionally, food items are recalled due to contamination, sparking concerns among consumers about the safety and reliability of the products they consume. Unfortunately, recalls may occur too late to prevent individuals from falling ill.
Despite the food industry’s efforts to combat pathogens, contamination still occurs, leading to illnesses. A major issue lies in the inadequacy of the available tools for screening harmful pathogens, which often fail to adequately safeguard public health.
Researchers from Guangdong University of Technology and Pudong New District People’s Hospital detailed their novel approach for detecting foodborne pathogens in AIP Advances by AIP Publishing. This method, superior in speed, affordability, and effectiveness to existing techniques, aims to enhance screening processes and prevent tainted food from reaching consumers.
Identifying contaminating pathogens, even with the most advanced detection methods, remains a challenging task.
“Detecting these pathogens is difficult due to their diverse nature and ability to thrive in various environments,” explained author Silu Feng. “Additionally, accurately and rapidly detecting low pathogen concentrations in large food samples, distinguishing them from non-pathogenic organisms, and managing the complexity of various food types pose significant challenges.”
While existing methods like cell culture and DNA sequencing do exist, their implementation on a large scale proves demanding. Not every food batch can undergo extensive testing, resulting in some contaminants slipping through quality control.
“Current methods are hampered by lengthy result times, reliance on specialized equipment and trained personnel, and difficulties in detecting multiple pathogens simultaneously, underscoring the necessity for improved detection techniques,” noted Feng.
The researchers opted for a fresh approach, designing a microfluidic chip that employs light to simultaneously detect various pathogens. Crafted using 3D printing, this chip is easily scalable for mass production and can be tailored to target specific pathogens.
With its division into four sections, each customized to detect a distinct pathogen, the chip enables the rapid detection of common bacteria like E. coli, salmonella, listeria, and S. aureus at very low concentrations. Presence of a pathogen binds it to a detection surface, altering its optical characteristics for identification.
“This method offers quick and efficient detection of multiple pathogens, with easily interpretable results, significantly enhancing detection efficacy,” emphasized Feng.
The team aims to refine their device further to enhance its suitability for food screening purposes.
