PreMiEr researcher Boyuan Chen has developed a real-time fungi-detecting sensor, opening new possibilities for monitoring microbial contamination in indoor and built environments.
A new PreMiEr preprint finds that pristine plastic surfaces have low inherent affinity for organic matter and bacteria, with accumulation in real environments driven more by particle properties and surface aging than by the plastic material itself.
A new PreMiEr preprint finds that individual sink usage habits shape distinct microbial communities in residential plumbing, even between sinks sharing the same pipes, with implications for managing pathogen risk in homes and hospitals.
A new PreMiEr study finds that hospital faucets can generate bacteria-carrying bioaerosols, adding an airborne transmission pathway to the known risks of pathogen-colonized hospital sink drains.
A new PreMiEr study published in Applied and Environmental Microbiology finds that indoor microbiome research routinely overlooks surface material composition, and proposes a new framework for integrating material properties into built environment microbiome science.
PreMiEr researchers are part of an international team launching a randomized controlled trial in Bolivia to evaluate whether Far-UVC light can safely and effectively reduce dangerous drug-resistant pathogens on hospital surfaces and in the air.
A new PreMiEr study finds that surface material properties have minimal effect on early bacterial attachment in built environments, suggesting that microbial community strategies may be more effective than surface engineering for controlling biofilms.
A new PreMiEr study finds that the oral bacterium Streptococcus mutans evolves in dramatically different ways under space-like conditions, with findings relevant to microbial control in spacecraft and other closed environments.
A new PreMiEr study interviews eastern North Carolina residents about living with household mold and finds cautious but conditional openness to microbiome engineering as a solution, contingent on safety evidence and transparent oversight.
A new PreMiEr meta-analysis finds that complex beta diversity transformations offer no consistent advantage over simpler methods in microbiome machine learning, giving researchers more flexibility in their analytical choices.
PreMiEr researchers have published a new statistical model in BMC Bioinformatics that improves microbiome analysis across paired body sites by capturing cross-site biological dependencies that standard methods miss.