Browsing Public Research Data by Subject "Q Science::QR Microbiology::QR100 Microbial ecology"
Now showing items 1-4 of 4
Biofilm disruption activity of absorbent sustained action alginate and iodine combined wound dressings (The University of Nottingham, 2024-01-01)Test new wound dressing formulations against clinically relevant polymicrobial biofilms
Fungal biofilm formation on potential anti-attachment materials (The University of Nottingham, 2020-06-02)(Meth)acrylate polymers showing the lowest fungal attachment (from a preceding microarray-spot screen) were assayed by scale-up to coat the 6.4-mm diameter wells of 96-well plates. Polymers showing surface cracking were ...
A linear, binary classifier to predict bacterial biofilm formation on polyacrylates (The University of Nottingham, 2022-12-21)Research data and Python code to undertake machine learning to predict bacterial attachment to polyacrylates.
Validating a predictive structure–property relationship by discovery of novel polymers which reduce bacterial biofilm formation (The University of Nottingham, 2020-06-26)Dataset contains raw and processed data used for the creation of figures in publication entitled 'Validating a Predictive Structure – Property Relationship by Discovery of Novel Polymers which Reduce Bacterial Biofilm Formation'