Chip simplifies COVID-19 testing, delivers results on a phone

(Nanowerk News) COVID-19 can be diagnosed in 55 minutes or less with the help of programmed magnetic nanobeads and a diagnostic tool that plugs into an off-the-shelf cell phone, according to Rice University engineers.
The Rice lab of mechanical engineer Peter Lillehoj has developed a stamp-sized microfluidic chip that measures the concentration of SARS-CoV-2 nucleocapsid (N) protein in blood serum from a standard finger prick. The nanobeads bind to SARS-CoV-2 N protein, a biomarker for COVID-19, in the chip and transport it to an electrochemical sensor that detects minute amounts of the biomarker.
The researchers argued their process simplifies sample handling compared to swab-based PCR tests that are widely used to diagnose COVID-19 and need to be analyzed in a laboratory.
“What’s great about this device is that doesn’t require a laboratory,” Lillehoj said. “You can perform the entire test and generate the results at the collection site, health clinic or even a pharmacy. The entire system is easily transportable and easy to use.”
Programmed magnetic nanobeads paired with an off-the-shelf cellphone and plug-in diagnostic tool
Programmed magnetic nanobeads paired with an off-the-shelf cellphone and plug-in diagnostic tool can diagnose COVID-19 in 55 minutes or less, according to Rice University engineers. (Image: Jeff Fitlow/Rice University)
The research appears in the American Chemical Society journal ACS Sensors ("Microfluidic Magneto Immunosensor for Rapid, High Sensitivity Measurements of SARS-CoV-2 Nucleocapsid Protein in Serum").
Lillehoj and Rice graduate student and lead author Jiran Li took advantage of existing biosensing tools and combined them with their own experience in developing simple diagnostics, like a microneedle patch introduced last year to diagnose malaria.
The new tool relies on a slightly more complex detection scheme but delivers accurate, quantitative results in a short amount of time. To test the device, the lab relied on donated serum samples from people who were healthy and others who were COVID-19-positive.
Lillehoj said a longer incubation yields more accurate results when using whole serum. The lab found that 55 minutes was an optimum amount of time for the microchip to sense SARS-CoV-2 N protein at concentrations as low as 50 picograms (billionths of a gram) per milliliter in whole serum. The microchip could detect N protein in even lower concentrations, at 10 picograms per milliliter, in only 25 minutes by diluting the serum fivefold.
Paired with a Google Pixel 2 phone and a plug-in potentiostat, it was able to deliver a positive diagnosis with a concentration as low as 230 picograms for whole serum.
“There are standard procedures to modify the beads with an antibody that targets a particular biomarker,” Lillehoj said. “When you combine them with a sample containing the biomarker, in this case SARS-CoV-2 N protein, they bond together.”
microfluidic chip that measures the concentration of SARS-CoV-2 nucleocapsid protein in blood serum
A system developed by Rice University engineers employs a stamp-sized microfluidic chip that measures the concentration of SARS-CoV-2 nucleocapsid protein in blood serum to diagnose COVID-19 in less than an hour. The system uses an off-the-shelf cellphone and potentiostat to deliver the results. (Illustration by the Lillehoj Research Group)
A capillary tube is used to deliver the sample to the chip, which is then placed on a magnet that pulls the beads toward an electrochemical sensor coated with capture antibodies. The beads bind to the capture antibodies and generate a current proportional to the concentration of biomarker in the sample.
The potentiostat reads that current and sends a signal to its phone app. If there are no COVID-19 biomarkers, the beads do not bind to the sensor and get washed away inside the chip.
Lillehoj said it would not be difficult for industry to manufacture the microfluidic chips or to adapt them to new COVID-19 strains if and when that becomes necessary.
Source: Rice University
Share this:
.
 
These articles might interest you as well: