A Scientometric analysis on Antibiofilm Agents developed against Pseudomonas aeruginosa

Abstract

Development of therapeutic agents against a model organism like P.aeruginosa, which forms biofilms, has been reviewed in the current study. A scientometric analysis has been used to predict the developments in Pseudomonas biofilm research, to configure potential antibiofilm agents (ABA) that can have prominent inhibition or dispersal effect and also overcome the problem of drug resistance. Diversity of ABA, antibiofilm strategy, prominent investigators and institutions in Pseudomonas biofilm research during the period 2009-2019 are the areas of focus, to understand the contributions in antibiofilm therapy. Scientometric study and the meta-analysis from 25,113 research publications, indicate nanoparticles as most promising control in biofilm based hazard. The results of investigation among majority of research groups reveal prominence of combinatorial strategy in targeting biofilms. A major shift from conventional antibiotics to nanoparticles as potential ABA is one of the significant findings of the study. Co-word analysis and Sankey plots were instrumental to identify the network of strategies focusing on biofilm inhibition. A Pearson correlation analysis for percentage of biofilm inhibition shows significant relevance with the nanoparticle type but not size. Moreover the impact of antibiofilm activity could be significantly correlated with source, nature and method of synthesis.