journal article·2024-05-13Open access

Time-Resolved Killing of Individual Bacterial Cells by a Polycationic Antimicrobial Polymer

Zachary Benmamoun, Prem Chandar, Joe Jankolovits, William A. Ducker

Abstract

High Resolution Image Download MS PowerPoint Slide Polycationic polymers are widely studied antiseptics, and their efficacy is usually quantified by the solution concentration required to kill a fraction of a population of cells (e.g., by Minimum Bactericidal Concentration (MBC)). Here we describe how the response to a polycationic antimicrobial varies greatly among members of even a monoclonal population of bacteria bathed in a single common antimicrobial concentration. We use fluorescence microscopy to measure the adsorption of a labeled cationic polymer, polydiallyldimethylammmonium chloride (PDADMAC, M w ≈ 4 × 10 5 g mol –1 ) and the time course of cell response via a cell permeability indicator for each member of an ensemble of either Escherichia coli, Staphylococcus aureus, or Pseudomonas aeruginosa cells. This is a departure from traditional methods of evaluating synthetic antimicrobials, which typically measure the overall response of a collection of cells at a particular time and therefore do not assess the diversity within a population. Cells typically die after they reach a threshold adsorption of PDADMAC, but not always. There is a substantial time lag of about 5–10 min between adsorption and death, and the time to die of an individual cell is well correlated with the rate of adsorption. The amount adsorbed and the time-to-die differ among species but follow a trend of more adsorption on more negatively charged species, as expected for a cationic polymer. The study of individual cells via time-lapse microscopy reveals additional details that are lost when measuring ensemble properties at a particular time.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Antimicrobial agents and applications · Bacterial biofilms and quorum sensing · Antimicrobial Peptides and Activities

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Chemical Engineering, Virginia Tech, Blacksburg, Virginia 24060, United States

Unilever Research, Trumbull, Connecticut 06611, United States

Funding

Unilever

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