A faster way of detecting antibiotic resistance in bacteria has been developed by a team of scientists.

The new technique, developed by a collaborative team of researchers including a scientist from the University of Sheffield, uses nanotechnology to detect antibiotic resistance in approximately 45 minutes.

The standard method for detecting resistance is a relatively slow process that typically takes between 12 and 24 hours. The ability to reduce this time could significantly help the ongoing battle against antibiotic-resistant bacteria – a problem which is predicted to cause 10 million deaths per year and cost the global economy $100 trillion by 2050.

“We were able to show that our faster method was able to reproduce values from gold standard measurements … in a fraction of the time,” said study co-author Dr. Alice Pyne from the University of Sheffield’s Department of Materials Science and Engineering.

Speeding up the time it takes to identify antibiotic-resistant bacteria could improve our ability to prescribe antibiotics correctly and reduce the misuse of antibiotic treatments – a key step in the fight against antibiotic resistance.

The new method uses a new Atomic Force Microscopy (AFM) detection system.

This involves a nanomechanical cantilever sensor working together with a laser to detect single bacterial cells as they pass through the laser’s focus, which provides a simple readout of antibiotic resistance by detecting growth (resistant) or death (sensitive) of the bacteria.

By placing a reflective surface – a small stiff cantilever – in a filtered growth medium in a petri dish and reflecting a laser off it onto a photodiode detector, it is possible to detect bacteria as they pass through the path of the laser, therefore altering the signal at the detector. 

Following the addition of the antibiotic to the petri dish, the study has shown that it is possible to detect whether fewer bacteria interfere with the laser beam, thereby indicating cell death in the antibiotic-sensitive bacteria.

LEAVE A REPLY

Please enter your comment!
Please enter your name here