Researchers have used response surface methodology (RSM) and machine learning to help find the optimal conditions for a municipal wastewater treatment system using mixotrophic microalgae.
Read the latest Advanced Materials highlights in C&I Magazine Issue 5 2025 written by Arno Kraft, Heriot-Watt University, Edinburgh, UK.
Expert scientists summarise some of their selected research papers from recent journal issues. Read the highlights from Nigel P Freestone, University of Northampton, UK in Issue 5 2025 of C&I.
The bacterium Staphylococcus aureus (S. aureus) is a major cause of illnesses worldwide. Traditional methods for detecting this pathogen often face hurdles in terms of speed, sensitivity, and specificity. Now, researchers have developed a novel optical aptasensing platform with consistent detection performance for monitoring of S. aureus which they are calling PathoSense.