Your browser doesn't support javascript.
Polymer Additives to Personal Protective Equipment can Inactivate Pathogens.
Dogan, Alan B; Dabkowski, Katherine E; Cadnum, Jennifer L; Donskey, Curtis J; von Recum, Horst A.
  • Dogan AB; Case Western Reserve University, 10900 Euclid Ave, Cleveland, OH, 44106, USA. abd51@case.edu.
  • Dabkowski KE; Case Western Reserve University, 10900 Euclid Ave, Cleveland, OH, 44106, USA.
  • Cadnum JL; Louis Stokes Cleveland VA Medical Center, 10701 East Blvd, Cleveland, OH, 44116, USA.
  • Donskey CJ; Louis Stokes Cleveland VA Medical Center, 10701 East Blvd, Cleveland, OH, 44116, USA.
  • von Recum HA; Case Western Reserve University, 10900 Euclid Ave, Cleveland, OH, 44106, USA.
Ann Biomed Eng ; 2022 Oct 15.
Article in English | MEDLINE | ID: covidwho-2257378
ABSTRACT
Face masks have been proven to be medicine's best public health tool for preventing transmission of airborne pathogens. However, in situations with continuous exposure, lower quality and "do-it-yourself" face masks cannot provide adequate protection against pathogens, especially when mishandled. In addition, the use of multiple face masks each day places a strain on personal protective equipment (PPE) supply and is not environmentally sustainable. Therefore, there is a significant clinical and commercial need for a reusable, pathogen-inactivating face mask. Herein, we propose adding quaternary poly(dimethylaminohexadecyl methacrylate), q(PDMAHDM), abbreviated to q(PDM), to existing fabric networks to generate "contact-killing" face masks-effectively turning cotton, polypropylene, and polyester into pathogen resistant materials. It was found that q(PDM)-integrated face masks were able to inactivate both Gram-positive and Gram-negative bacteria in liquid culture and aerosolized droplets. Furthermore, q(PDM) was electrospun into homogeneous polymer fibers, which makes the polymer practical for low-cost, scaled-up production.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Year: 2022 Document Type: Article Affiliation country: S10439-022-03100-1

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Year: 2022 Document Type: Article Affiliation country: S10439-022-03100-1