A Multiplex Electrochemical Biosensor for Bloodstream Infection Diagnosis

Author:

Gao Jian1,Jeffries Lindsie2,Mach Kathleen E.3,Craft David W.4,Thomas Neal J.5,Gau Vincent6,Liao Joseph C.3,Wong Pak Kin178

Affiliation:

1. Department of Biomedical Engineering, Pennsylvania State University, University Park, PA, USA

2. Department of Biomedical Engineering, The University of Arizona, Tucson, AZ, USA

3. Department of Urology, Stanford University School of Medicine, Stanford, CA, USA

4. Pathology and Laboratory Medicine, Penn State Milton S. Hershey Medical Center, Hershey, PA, USA

5. Departments of Pediatrics and Public Health Sciences, Penn State University College of Medicine, Hershey, PA, USA

6. GeneFluidics, Inc., Irwindale, CA, USA

7. Department of Mechanical Engineering, Pennsylvania State University, University Park, PA, USA

8. Department of Surgery, Penn State Milton S. Hershey Medical Center, Hershey, PA, USA

Abstract

Accurate and timely detection of bacterial pathogens will improve the clinical management of infections. Herein, we demonstrate an electrochemical biosensor that directly detects bacteria in human blood samples, resulting in the rapid diagnosis of a bloodstream infection. The multiplex biosensor detects the species-specific sequences of the 16S ribosomal RNA of bacteria for pathogen identification in physiological samples without preamplification. The analytical performance characteristics of the biosensor, including the limit of detection and probe cross-reactivity, are evaluated systematically. The feasibility of the biosensor for a diagnosis of a bloodstream infection is demonstrated by identifying bacterial clinical isolates spiked in whole blood and blood culture samples that were tested positive for bacteria. The electrochemical biosensor correctly identifies all the species in the samples with 100% concordance to microbiological analysis.

Funder

National Institute of Allergy and Infectious Diseases

National Institute of Child Health and Human Development

Publisher

Elsevier BV

Subject

Medical Laboratory Technology,Computer Science Applications

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