Selective detection of live pathogens via surface-confined electric field perturbation on interdigitated silicon transducers. Academic Article uri icon

Overview

abstract

  • Detection of physical changes of cells is emerging as a new diagnostic approach to determine their phenotypical features. One of such changes is related to their viability; live (viable) cells are more voluminous than the dead ones, and monitoring this parameter in tissue cells becomes essential in fields such as drug discovery and hazard evaluation. In the area of pathogen detection, an analytical system capable of specifically detecting viable cells with the simple sample preparation and detection process would be highly desirable since live microorganisms can rapidly increase their numbers even at extremely low concentration and become a severe health risk. However, current sensing strategies cannot clearly determine the viability of cells, and hence they are susceptible to false-positive signals from harmless dead pathogens. Here we developed a robust electronic immunoassay that uses a pair of polycrystalline silicon interdigitated electrodes for the rapid detection of pathogens with high specificity for live cells. After bacterial cells were specifically anchored to the surface of the antibody-modified electrode, the characteristic geometry of the transducer enables the selective detection of viable cells with a limit of detection of 3 x 10(2) cfu/mL and an incubation time of only 1 h. The CMOS compatible fabrication process of the chip along with the label-free, reagent-less electronic detection and the easy electrode regeneration to recycle for another impedance measurement make this approach an excellent candidate for oncoming economical in-field viable-cell detection systems, fully integrable with sophisticated signal processing circuits.

publication date

  • May 15, 2009

Research

keywords

  • Immunoassay
  • Microbial Viability
  • Silicon
  • Transducers

Identity

PubMed Central ID

  • PMC2888026

Scopus Document Identifier

  • 66149137608

Digital Object Identifier (DOI)

  • 10.1021/ac9001854

PubMed ID

  • 19334738

Additional Document Info

volume

  • 81

issue

  • 10