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

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Original languageEnglish
Article number139595
Number of pages28
Journal / PublicationChemical Engineering Journal
Issue numberPart 1
Online published7 Oct 2022
Publication statusOnline published - 7 Oct 2022


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) management. 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.

Research Area(s)

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

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