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Lab-on-fiber optofluidic platform for in-situ study of therapeutic peptides and bacterial response (Rising Researcher Presentation) (Conference Presentation)
Author(s): Fei Tian; Fan Yang; Junfeng Liang

Paper Abstract

Hospital acquired infections in indwelling device have become a life-threatening issue accompanied by the wide use of medical devices and implants. The infection process typically involves the attachment, growth and eventual assemblage of microbial cells into biofilms, with the latter exhibiting extremely higher antibiotic tolerance than planktonic bacteria. Surface constructed antimicrobial coatings offer a viable solution for bacteria responsive antibiotic strategy in medical devices such as catheter and stents. Therapeutic peptide has pioneered the field for their attractive pharmacological profile with broad antibacterial spectrum, great efficacy and long life-span. It has been a common practice to separately assess bacteria responses through commercially available activity assay kits after their exposure to antibiotic coatings, limiting the assessment of their activity in vitro with a discontinuous fashion. We developed and demonstrated an innovative all-optical lab-on-fiber optofluidic platform (LOFOP) to fill in this technical gap by allowing in situ measurement of the bacteria attachment in a continuous manner. This LOFOP allows for evaluation of drug release and resultant bacterial response by integrating glass capillary with lytic peptide-containing LbL-coated long period graing (LPG) as its core. S. aureus suspension is introduced through the assembled optofluidic platform with the capillary and the peptide-coated LPG. The efficacy of the peptide-containing coating is evaluated in situ by monitoring the attachment of bacteria and the ensuing development of biofilms using the LPG. LPG without antimicrobial coatings will be explored and compared as control.

Paper Details

Date Published: 6 June 2017
PDF: 1 pages
Proc. SPIE 10216, Smart Biomedical and Physiological Sensor Technology XIV, 1021604 (6 June 2017); doi: 10.1117/12.2262923
Show Author Affiliations
Fei Tian, Stevens Institute of Technology (United States)
Fan Yang, Stevens Institute of Technology (United States)
Junfeng Liang, Stevens Institute of Technology (United States)


Published in SPIE Proceedings Vol. 10216:
Smart Biomedical and Physiological Sensor Technology XIV
Brian M. Cullum; Douglas Kiehl; Eric S. McLamore, Editor(s)

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