Autonomous multiarray sensors for the detection, classification and differentiation of bacteria and pathogens

ANYL 75

Omowunmi A. Sadik, osadik@binghamton.edu1, Jason Karasinski, osadik@binghamton.edu1, Ailing Zhou, osadik@binghamton.edu2, and Nian Du, osadik@binghamton.edu2. (1) Department of Chemistry, SUNY-Binghamton, POB 6000, Binghamton, NY 13902, (2) Chemistry, SUNY-Binghamton, POB 6000, Binghamton, NY 13902
We describe the development of a fully autonomous electrochemical biosensor arrays for the detection and classification of bacteria at subspecies and strain level. This study represents a basic research tool that may allow researchers to rapidly detect, quantify, and classify bacteria type or pathogens at subspecies and strain levels. The system provides a continuous, real time monitoring of bacteria activity upon exposure to antibiotics. The system utilizes 96 well-type electrodes array (DOX-dissolved oxygen sensor) with support vector machines (SVM) for rapid and routine classification of different classes of bacteria and related strains. A representative sample of a section of the Bacteria Kingdom has been analyzed and classified using the proposed DOX-SVM system, including: Corynebacterium glutamicum, Microcuccus luteus, Staphylococcus epidermidis, Yersinia ruckeri, Escherichia adecarboxylata, Comamonas acidovorans, Alcaligenes odorans, Bacillus globigii and three strains of Escherichia coli (K12, SM10 and ATCC #25922).

 

General Posters
7:00 PM-9:00 PM, Sunday, August 19, 2007 BCEC -- Exhibit Hall - B2, Poster

Sci-Mix
8:00 PM-10:00 PM, Monday, August 20, 2007 BCEC -- Exhibit Hall - B2, Sci-Mix

Division of Analytical Chemistry

The 234th ACS National Meeting, Boston, MA, August 19-23, 2007