Multichannel bacterial discrimination based on recognition and disintegration disparity of short antimicrobial peptides.

Abstract In this paper, we present a facile and rapid multichannel approach for the simultaneous detection and discrimination of multiple bacterial species. The proposed assay employed four short antimicrobial peptides (SAMPs) for recognition due to their disparity in antibacterial activity against different bacterial strains, and utilized fluorescence measurements to explicate the bacterial recognition and disintegration disparity of the SAMPs. Then, linear discriminant analysis (LDA) was used to effectively discriminate and classify the observed characteristic fluorescence patterns of SAMPs towards target bacteria, exhibiting excellent bacterial discrimination and classification accuracy. This is the first report on the use of SAMPs as recognition units for simultaneous multiple bacterial detection and discrimination. The presented approach was simple, fast, highly repeatable, and required no labelling processes. According to the corresponding LDA discriminant results, six different target bacterial species could be effectively identified and discriminated within 30 min.