Date:12/04/17
The foodborne pathogen Escherichia coli O157 causes an estimated 73,000 illnesses and 60 deaths every year in the United States. Better safety tests could help avoid some of the illnesses caused by this strain of E. coli and other harmful bacteria, according to MIT researchers who have come up with a possible new solution.
The new MIT test is based on a novel type of liquid droplet that can bind to bacterial proteins. This interaction, which can be detected by either the naked eye or a smartphone, could offer a much faster and cheaper alternative to existing food safety tests.
"It's a brand new way to do sensing," says Timothy Swager, the John D. MacArthur Professor of Chemistry at MIT and the senior author of the study. "What we have here is something that can be massively cheaper, with low entry costs."
Qifan Zhang, an MIT graduate student, is the lead author of the paper, which appears in the journal ACS Central Science. Other authors are Suchol Savagatrup, an MIT postdoc; Peter Seeberger, director of the Max Planck Institute of Colloids and Interfaces in Germany; and Paulina Kaplonek, a graduate student at the Max Planck Institute.
Detecting bacteria
Two years ago, Swager's lab developed a way to easily make complex droplets including droplets called Janus emulsions. These Janus droplets consist of two equally sized hemispheres, one made of a fluorocarbon and one made of a hydrocarbon. Fluorocarbon is denser than hydrocarbon, so when the droplets sit on a surface, the fluorocarbon half is always at the bottom.
The researchers decided to explore using these droplets as sensors because of their unique optical properties. In their natural state, the Janus droplets are transparent when viewed from above, but they appear opaque if viewed from the side, because of the way that light bends as it travels through the droplets.
To turn the droplets into sensors, the researchers designed a surfactant molecule containing mannose sugar to self-assemble at the hydrocarbon–water interface, which makes up the top half of the droplet surface. These molecules can bind to a protein called lectin, which is found on the surface of some strains of E. coli. When E. coli is present, the droplets attach to the proteins and become clumped together. This knocks the particles off balance, so that light hitting them scatters in many directions, and the droplets become opaque when viewed from above.
"We're using the native molecular recognition that these pathogens use. They recognize each other with these weak carbohydrate-lectin binding schemes." Swager says. "We took advantage of the droplets' multivalency to increase the binding affinity, and this is something that is very different than what other sensors are using."
To demonstrate how these droplets could be used for sensing, the researchers placed them into a Petri dish atop a QR code that can be scanned with a smartphone. When E. coli are present, the droplets clump together and the QR code can't be read.
Chad Mirkin, a professor of chemistry at Northwestern University and director of the International Institute for Nanotechnology, described the particles as "a powerful new class of assays."
"They are elegantly simple but rely on clever new approaches to making and manipulating emulsions," says Mirkin, who was not involved in the research. "This proof-of-concept demonstration in detecting foodborne pathogens is compelling, as they constitute a major class of analytes that defines an unmet need in the biosensor community."
Faster and cheaper
Current food safety testing often involves placing food samples in a culture dish to see if harmful bacterial colonies form, but that process takes two to three days. More rapid techniques based on bacterial DNA amplification or antibody-bacteria interactions are expensive and require special instruments.
The MIT team hopes to adapt its new technology into arrays of small wells, each containing droplets customized to detect a different pathogen and linked to a different QR code. This could enable rapid, inexpensive detection of contamination using only a smartphone.
"The great advantage of our device is you don't need specialized instruments and technical training in order to do this," Zhang says. "That can enable people from the factory, before shipping the food, to scan and test it to make sure it's safe."
The researchers are now working on optimizing the food sample preparation so they can be placed into the wells with the droplets. They also plan to create droplets customized with more complex sugars that would bind to different bacterial proteins. In this paper, the researchers used a sugar that binds to a nonpathogenic type of E. coli, but they expect that they could adapt the sensor to other strains of E. coli and other harmful bacteria.
"You could imagine making really selective droplets to catch different bacteria, based on the sugar we put on them," Savagatrup says.
The researchers are also trying to improve the sensitivity of the sensor, which currently is similar to existing techniques but has the potential to be much greater, they believe. They hope to launch a company to commercialize the technology within the next year and a half.
New technology could offer cheaper, faster food testing
The foodborne pathogen Escherichia coli O157 causes an estimated 73,000 illnesses and 60 deaths every year in the United States. Better safety tests could help avoid some of the illnesses caused by this strain of E. coli and other harmful bacteria, according to MIT researchers who have come up with a possible new solution.The new MIT test is based on a novel type of liquid droplet that can bind to bacterial proteins. This interaction, which can be detected by either the naked eye or a smartphone, could offer a much faster and cheaper alternative to existing food safety tests.
"It's a brand new way to do sensing," says Timothy Swager, the John D. MacArthur Professor of Chemistry at MIT and the senior author of the study. "What we have here is something that can be massively cheaper, with low entry costs."
Qifan Zhang, an MIT graduate student, is the lead author of the paper, which appears in the journal ACS Central Science. Other authors are Suchol Savagatrup, an MIT postdoc; Peter Seeberger, director of the Max Planck Institute of Colloids and Interfaces in Germany; and Paulina Kaplonek, a graduate student at the Max Planck Institute.
Detecting bacteria
Two years ago, Swager's lab developed a way to easily make complex droplets including droplets called Janus emulsions. These Janus droplets consist of two equally sized hemispheres, one made of a fluorocarbon and one made of a hydrocarbon. Fluorocarbon is denser than hydrocarbon, so when the droplets sit on a surface, the fluorocarbon half is always at the bottom.
The researchers decided to explore using these droplets as sensors because of their unique optical properties. In their natural state, the Janus droplets are transparent when viewed from above, but they appear opaque if viewed from the side, because of the way that light bends as it travels through the droplets.
To turn the droplets into sensors, the researchers designed a surfactant molecule containing mannose sugar to self-assemble at the hydrocarbon–water interface, which makes up the top half of the droplet surface. These molecules can bind to a protein called lectin, which is found on the surface of some strains of E. coli. When E. coli is present, the droplets attach to the proteins and become clumped together. This knocks the particles off balance, so that light hitting them scatters in many directions, and the droplets become opaque when viewed from above.
"We're using the native molecular recognition that these pathogens use. They recognize each other with these weak carbohydrate-lectin binding schemes." Swager says. "We took advantage of the droplets' multivalency to increase the binding affinity, and this is something that is very different than what other sensors are using."
To demonstrate how these droplets could be used for sensing, the researchers placed them into a Petri dish atop a QR code that can be scanned with a smartphone. When E. coli are present, the droplets clump together and the QR code can't be read.
Chad Mirkin, a professor of chemistry at Northwestern University and director of the International Institute for Nanotechnology, described the particles as "a powerful new class of assays."
"They are elegantly simple but rely on clever new approaches to making and manipulating emulsions," says Mirkin, who was not involved in the research. "This proof-of-concept demonstration in detecting foodborne pathogens is compelling, as they constitute a major class of analytes that defines an unmet need in the biosensor community."
Faster and cheaper
Current food safety testing often involves placing food samples in a culture dish to see if harmful bacterial colonies form, but that process takes two to three days. More rapid techniques based on bacterial DNA amplification or antibody-bacteria interactions are expensive and require special instruments.
The MIT team hopes to adapt its new technology into arrays of small wells, each containing droplets customized to detect a different pathogen and linked to a different QR code. This could enable rapid, inexpensive detection of contamination using only a smartphone.
"The great advantage of our device is you don't need specialized instruments and technical training in order to do this," Zhang says. "That can enable people from the factory, before shipping the food, to scan and test it to make sure it's safe."
The researchers are now working on optimizing the food sample preparation so they can be placed into the wells with the droplets. They also plan to create droplets customized with more complex sugars that would bind to different bacterial proteins. In this paper, the researchers used a sugar that binds to a nonpathogenic type of E. coli, but they expect that they could adapt the sensor to other strains of E. coli and other harmful bacteria.
"You could imagine making really selective droplets to catch different bacteria, based on the sugar we put on them," Savagatrup says.
The researchers are also trying to improve the sensitivity of the sensor, which currently is similar to existing techniques but has the potential to be much greater, they believe. They hope to launch a company to commercialize the technology within the next year and a half.
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