In situ monitoring of Lentilactobacillus parabuchneri biofilm formation via real-time infrared spectroscopy.
Diellza BajramiStephan FischerHolger BarthMaría A SarquisVictor M LaderoMaría FernándezMaria Chiara SportelliNicola CioffiChristine KranzBoris MizaikoffPublished in: NPJ biofilms and microbiomes (2022)
Foodborne pathogenic microorganisms form biofilms at abiotic surfaces, which is a particular challenge in food processing industries. The complexity of biofilm formation requires a fundamental understanding on the involved molecular mechanisms, which may then lead to efficient prevention strategies. In the present study, biogenic amine producing bacteria, i.e., Lentilactobacillus parabuchneri DSM 5987 strain isolated from cheese were studied in respect with biofilm formation, which is of substantial relevance given their contribution to the presence of histamine in dairy products. While scanning electron microscopy was used to investigate biofilm adhesion at stainless steel surfaces, in situ infrared attenuated total reflection spectroscopy (IR-ATR) using a custom flow-through assembly was used for real-time and non-destructive observations of biofilm formation during a period of several days. The spectral window of 1700-600 cm -1 provides access to vibrational signatures characteristic for identifying and tracking L. parabuchneri biofilm formation and maturation. Especially, the amide I and II bands, lactic acid produced as the biofilm matures, and a pronounced increase of bands characteristic for extracellular polymeric substances (EPS) provide molecular insight into biofilm formation, maturation, and changes in biofilm architecture. Finally, multivariate data evaluation strategies were applied facilitating the unambiguous classification of the observed biofilm changes via IR spectroscopic data.
Keyphrases
- biofilm formation
- candida albicans
- pseudomonas aeruginosa
- staphylococcus aureus
- escherichia coli
- electron microscopy
- lactic acid
- cystic fibrosis
- electronic health record
- high resolution
- molecular docking
- deep learning
- gene expression
- single molecule
- magnetic resonance
- optical coherence tomography
- data analysis
- magnetic resonance imaging
- big data
- transcription factor
- density functional theory
- computed tomography
- genome wide
- drug release
- alcohol use disorder
- contrast enhanced