Raman spectroscopy as a new tool for early detection of bacteria in patients with cystic fibrosis

Respiratory infections represent a major threat for people affected by cystic fibrosis, leading to pulmonary deterioration and lung transplantation as a therapeutic option for end-stage patients. A fast and correct identification of pathogens in airway fluid of these patients is crucial to establish appropriate therapies, to prevent cross-infections and, ultimately, to preserve lung function. In this study, we used Raman spectroscopy to reveal bacteria in the sputa of patients such as Pseudomonas aeruginosa and Staphylococcus aureus, which are among the earliest and the most frequent bacteria affecting cystic fibrosis patients. We found that Raman analysis, combined with principal component analysis, is able to provide a correct identification of these bacteria, with a global accuracy higher than 95%. Interestingly, bacterial identification is performed by analysing patients' sputa as a whole, avoiding, therefore, time-consuming procedures involving bacterial isolation or even bacterial cultures. This study suggests that Raman spectroscopy could be a suitable candidate for the development of innovative and non-invasive procedures for a fast and reliable identification of respiratory infections in cystic fibrosis patients.