Impedimetric Bacterial Detection Using Random Antimicrobial Peptide Mixtures.

The biosensing of bacterial pathogens is of a high priority. Electrochemical biosensors are an important future tool for rapid bacteria detection. A monolayer of bacterial-binding peptides can serve as a recognition layer in such detection devices.

Immobilized random peptide mixtures exhibit broad antimicrobial activity with high selectivity.

In the current study, we evaluated the antimicrobial activity of randomly-sequenced peptide mixtures (RPMs) bearing hydrophobic and cationic residues that were immobilized on beads. We showed that these beads exhibit high and broad bactericidal activity against various pathogenic bacteria while possessing minimal hemolytic activity.

Dynamics of bacterial communities in alfalfa and mung bean sprouts during refrigerated conditions.

Sprouts are considered a healthy ready-to-eat food and has gained popularity in recent years. The objective of the present study was to determine the dynamics of sprouts' microbiome during cold storage to the end of their shelf-life at home. The microbiological quality of fresh alfalfa (Medicago sativa) and mung bean (Vigna radiata) sprouts from two commercial brands was tested and the number of APC ranges from 5.

Random peptide mixtures entrapped within a copper-cuprite matrix: new antimicrobial agent against methicillin-resistant Staphylococcus aureus.

The emergence of global antibiotic resistance necessitates the urgent need to develop new and effective antimicrobial agents. Combination of two antimicrobial agents can potentially improve antimicrobial potency and mitigate the development of resistance. Therefore, we have utilized metal molecular doping methodology whereby antimicrobial random peptides mixture (RPMs) are entrapped in a bactericidal copper metal matrix.

Random mixtures of antimicrobial peptides inhibit bacteria associated with pasteurized bovine milk.

The shelf life of pasteurized bovine milk is limited by microorganism activity as surviving bacteria continue to grow in the bovine milk, eventually causing milk spoilage. In the current study, we used matrix-assisted laser desorption ionization time of flight mass spectrometry to identify pasteurized bovine milk-associated mesophilic and psychrotrophic bacteria. We have recently designed random cationic peptide mixtures that possess strong antimicrobial and antibiofilm properties.

Random peptide mixtures as new crop protection agents.

Many types of crops are severely affected by at least one important bacterial disease. Chemical control of bacterial plant diseases in the field vastly relies on copper-based bactericides, yet with limited efficacy. In this study, we explored the potential of two random peptide mixture (RPM) models as novel crop protection agents.