Multivariate analysis of liquid biopsies for real-time detection of patients with biofilm-associated infections (BAI)

作者：Liao, J. C.; Zou, S. J.; Deng, Y. L.; Jiang, Y.; Chua, S. L.^*; Khoo, B. L.^*

来源：Chemical Engineering Journal, 2023, 453: 139595.

DOI：10.1016/j.cej.2022.139595

• Multivariate analysis
• Viscosity
• Biofilm-associated infections
• Disease detection
• Personalized treatment

Biofilm-associated infections (BAI) are chronic infections that are refractory to standard antibiotic therapy and challenging to diagnose. Detecting biofilms in patients remains a major challenge in the clinical field. Here, we introduced a microfluidic-based label-free and multivariate analysis (LF-MA) platform to assess biofilm-associated infection disease via multivariate analysis of severity parameters for point-of-care (POC) manage-ment. The integrated LF-MA platform consisted of two components: Biofilm Enrichment Device (BED) and Severity Detection Device (SDD), and allowed simultaneous real-time biofilm enrichment and viscosity-based BAI severity detection. High recovery efficiencies (>80 %) were observed for both gram-positive and gram -negative strains. A novel biosensor HMS indicator (Healthy: 1-3+, Mild: 1-3-, Severe: 1 + 3-) was developed to evaluate the severity of BAI based on microbeads distribution in target outletsSDD (for viscosity assessment) and the presence of biofilms. The one-step strategy was validated with patient-derived clinical isolates and could be completed within 2 h. We envisioned that the ease of operations and derived HMS biosensor indicator could facilitate new patient-centric approaches for rapid and multivariate assessment of patients with BAI.