The new tool could help doctors make more informed prescriptions, which in turn could help to tackle antibiotic resistance by reducing the number of patients with viral infections being prescribed antibiotics.
Plans for the new tool, which could differentiate between bacterial and non-bacterial infections, are being showcased at iGEM 2016 - a leading international competition held in Boston, USA, where some of the world's brightest student scientists unveil their latest innovations.
The diagnostic tool uses genetically engineered bacteria to detect the presence of a bacterial infection in a patient's blood sample.
It can distinguish between a viral and bacterial infection by detecting a protein known as lipocalin.
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This protein is produced in high levels by cells of the immune system in response to bacterial infections.
The protein's function is to bind to small molecules which bacteria use to access iron in order to grow.
Saylee Jangam, an Indian-originstudent from the University of Sheffield's iGEM team, said: "The main aim behind this project is to create more informed prescriptions to address the ever increasing resistance against antibiotics that we face today.
"Antibiotic resistance is a huge problem and this is why we chose to base our project on it. We may not be able to reverse it, but with our device, we could potentially slow it down.