INL team develops sensor to detect multidrug-resistant bacteria

A research team at INL is using ionizing light to “smell” volatile compounds emitted by multidrug-resistant bacteria.

Antibiotic resistance is a serious global threat with widespread implications, contributing to an estimated 5 million deaths annually due to drug-resistant infections. This occurs as bacteria evolve to resist the effects of antibiotics, leading to new bacterial strains that are resistant to treatment. As a result, infections become harder to treat, increasing the risk of disease spread, severe illness, and death.

The SMARTgNOSTICS project addresses the antibiotic resistance challenge using a comprehensive One Health approach. It focuses on developing solutions and devices to detect bacteria, relevant genes, and antibiotic residues in different domains that contribute to the antibiotic resistance cycle (including human and animal health, food safety, and the environment).

Recently, SMARTgNOSTICS was featured in ‘90 Segundos de Ciência’, a series of science communication episodes with daily broadcasts on Antena 1 Portuguese public radio. In this episode, Research Engineer Susana Costa explains INL’s contribution towards this exciting project in just 90 seconds (in Portuguese).

The novel sensor is being designed to detect multidrug-resistant bacteria in hospital environments and healthcare facilities. Susana Costa explains that “the photo-ionization sensor employs a sophisticated mechanism that emits light, targeting gaseous molecules released by bacteria present in the air. When the light interacts with these molecules, it ionizes them, creating ions and electrons. These electrons, under the influence of an electric field, generate an electric current, which is then measured by the system”.

The technology behind this sensor enables it to detect volatile compounds, thereby identifying the presence of bacteria in the environment. This real-time detection capability is crucial for maintaining sterile conditions and preventing the spread of infections in hospitals. Susana Costa’s goal is more than detection; the INL team aims to refine the sensor to differentiate between various bacterial species and identify antibiotic-resistant strains. This enhancement would provide healthcare professionals with critical information, allowing for more precise and timely interventions.

The development of this sensor could be significant advancement in infection control technology. By quickly identifying the presence and type of bacteria, including those resistant to antibiotics, the device could play an important role in controlling hospital-acquired infections.

Text & Photography by Catarina Moura, Science Communication Officer