ĚÇĐÄÍřŇł°ć

25 May 2026

Mats Eriksson, Senior Associate Professor at ĚÇĐÄÍřŇł°ć, has been awarded a research grant of close to SEK 6 million from Formas for a project aimed at improving drinking water safety. The project is titled “Rapid detection of viable Escherichia coli bacteria at ultralow concentrations for improved water safety,” and will run over four years. 

Mats Eriksson Yasuhiko Irie och Lingyin Meng.
Mats Eriksson, Yasuhiko Irie och Lingyin Meng.

“I’m very excited. This funding will allow us to accelerate our research on E. coli detection and to formally establish the interdisciplinary research team needed for the project’s success,” says Mats Eriksson. “It will also strengthen IFM’s contributions to several important collaborations in drinking water safety and civil security, while highlighting LiU’s strength in interdisciplinary research.”

The interdisciplinary initiative brings together three divisions from two separate departments at LiU, Sensor and Actuator Systems at the Department of Physics, Chemistry and Biology (IFM), and the Division for Molecular Medicine and Virology at the Department of Biomedical and Clinical Sciences (BKV), combining expertise across biosensing, microbiology, and medical sciences.

The challenge of water safety

Mats Eriksson
Mats Eriksson
Ensuring access to safe drinking water remains a global priority, but existing microbiological monitoring methods are often too slow or lack the sensitivity required to detect harmful pathogens at very low concentrations. E. coli is widely used as the primary indicator of fecal contamination, making its reliable detection a vital part of public health protection.

“The goal is to develop a rapid and highly sensitive method capable of detecting viable E. coli bacteria even at extremely low levels in complex water samples. A central component is the ability to preconcentrate and isolate bacteria before analyzing them using advanced flow cytometry techniques”, says Mats Eriksson.

The method integrates several steps, including automated filtration, immunomagnetic separation, and fluorescence-based detection. Together, these approaches aim to enable faster, more accurate identification of contamination.

Broad expertise and collaboration

The team includes Mats Eriksson at IFM and Lingyin Meng (biosensing and bioreceptors, IFM), Yasuhiko Irie (microbiology, IFM), and Jörgen Adolfsson (flow cytometry, BKV and head of the Flow Cytometry Core Facility).

The work also builds on and strengthens existing collaborations within major national initiatives such as , , and , as well as contributing to LiU’s strategic life sciences profile area, Life Science Technologies (LSX).

Ěý

Potential impact

In practical terms, earlier and more reliable detection of contamination could help water providers act faster and prevent outbreaks of waterborne diseases. Beyond drinking water systems, the technology could also be used for monitoring bathing water and broader environmental surveillance. The approach is aligned with the on clean water and sanitation, and the project includes plans for open sharing of methods and data to maximize impact.

Contact

Latest news from LiU

En grupp människor som sitter vid ett bord framför en folkmassa.

Participants in UN climate meetings want greater focus on implementation

UN climate negotiations are often criticised for moving too slowly. A new study published in Nature Climate Change examines what changes government delegates and other participants at the COP29 UN climate conference would like to see.

Neil Lagali vid utrustning för att undersöka ögonen.

Eye problems after COVID-19 can now be explained

Mild COVID-19 can cause severe and long-lasting eye problems, according to a study from LiU. The study also explains why it has been difficult for sufferers to get help: the abnormal eye behaviour cannot be detected by standard methods.

A woman kneeling down in a garden picking plants.

When soil becomes data – how digitalisation affects knowledge of soil health

How do we know whether soil is healthy? A new study from ĚÇĐÄÍřŇł°ć shows that as knowledge about soil is increasingly translated into digital data, important insights about its biological life and local context risk being overlooked.