Nanostructured sensor based on carbon nanotubes and clavanin A for bacterial detection

• Published in: Colloids and surfaces, B, Biointerfaces Vol. 135; pp. 833 - 839
• Main Authors: Andrade, César A.S., Nascimento, Jéssica M., Oliveira, Idjane S., de Oliveira, Carlos V.J., de Melo, Celso P., Franco, Octávio L., Oliveira, Maria D.L.
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01-11-2015
• Subjects: Antiinfectives and antibacterials; Antimicrobial peptides; Bacillus subtilis; Bacteria; Bacteria - classification; Bacteria - isolation & purification; Biosensing Techniques; Biosensor; Biosensors; Blood Proteins - chemistry; Carbon nanotubes; Clava; Dielectric Spectroscopy; Electrochemical impedance spectroscopy; Enterococcus faecalis; Escherichia coli; Klebsiella pneumoniae; Microscopy, Atomic Force; Nanostructure; Nanostructures; Nanotubes, Carbon; Peptides; Sensors; Carbon nanotubes; Bacteria; Biosensor; Antimicrobial peptides; Electrochemical impedance spectroscopy
• ISSN: 0927-7765; 1873-4367
• DOI: 10.1016/j.colsurfb.2015.03.037

•We demonstrated the development of a very sensitive nanostructured sensor.•The biosensor presented good reproducibility and low limits of detection.•We introduced a simpler system for detecting and identifying pathogens.
Unusual methods for specific detection of pathogenic bacteria are becoming key points for control and identification of problems related to health and (bio)safety. In this context, this work aims to propose a new approach for the development of nanostructured biosensors based on carbon nanotubes (CNTs) and antimicrobial peptides for bacterial detection. Firstly, the antimicrobial peptide clavanin A (ClavA) was chemically immobilized on CNTs and surface-immobilized ClavA was used to detect Klebsiella pneumoniae, Enterococcus faecalis, Escherichia coli and Bacillus subtilis in a direct assay format. We used electrochemical impedance spectroscopy technique to evaluate the effectiveness and sensitivity of the ClavA-based biosensors by measuring the modifications in their electrochemical responses before and after incubation in presence of different bacteria concentrations. The biosensor was able to discriminate between bacteria concentrations in the 102–106CFUmL−1 range. Atomic force microscopy analysis confirmed the biosensor functionality for bacterial recognition. This new sensor system was capable of differentiating between Gram-positive and Gram-negative bacteria, since ClavA showed different affinities toward the pathogenic bacteria species.