Method for detection of a few pathogenic bacteria and determination of live versus dead cells

Shin Horikawa; I-Hsuan Chen; Songtao Du; Yuzhe Liu; Howard C. Wikle III; Sang-Jin Suh; James M. Barbaree; Bryan A. Chin

doi:10.1117/12.2228142

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17 May 2016 Method for detection of a few pathogenic bacteria and determination of live versus dead cells

Shin Horikawa, I-Hsuan Chen, Songtao Du, Yuzhe Liu, Howard C. Wikle III, Sang-Jin Suh, James M. Barbaree, Bryan A. Chin

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Proceedings Volume 9864, Sensing for Agriculture and Food Quality and Safety VIII; 98640H (2016) https://doi.org/10.1117/12.2228142
Event: SPIE Commercial + Scientific Sensing and Imaging, 2016, Baltimore, Maryland, United States

Abstract

This paper presents a method for detection of a few pathogenic bacteria and determination of live versus dead cells. The method combines wireless phage-coated magnetoelastic (ME) biosensors and a surface-scanning dectector, enabling real-time monitoring of the growth of specific bacteria in a nutrient broth. The ME biosensor used in this investigation is composed of a strip-shaped ME resonator upon which an engineered bacteriophage is coated to capture a pathogen of interest. E2 phage with high binding affinity for Salmonella Typhimurium was used as a model study. The specificity of E2 phage has been reported to be 1 in 105 background bacteria. The phage-coated ME biosensors were first exposed to a low-concentration Salmonella suspension to capture roughly 300 cells on the sensor surface. When the growth of Salmonella in the broth occurs, the mass of the biosensor increases, which results in a decrease in the biosensor's resonant frequency. Monitoring of this mass- induced resonant frequency change allows for real-time detection of the presence of Salmonella. Detection of a few bacteria is also possible by growing them to a sufficient number. The surface-scanning detector was used to measure resonant frequency changes of 25 biosensors sequentially in an automated manner as a function of time. This methodology offers direct, real-time detection, quantification, and viability determination of specific bacteria. The rate of the sensor's resonant frequency change was found to be largely dependent on the number of initially bound cells and the efficiency of cell growth.

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Shin Horikawa, I-Hsuan Chen, Songtao Du, Yuzhe Liu, Howard C. Wikle III, Sang-Jin Suh, James M. Barbaree, and Bryan A. Chin "Method for detection of a few pathogenic bacteria and determination of live versus dead cells", Proc. SPIE 9864, Sensing for Agriculture and Food Quality and Safety VIII, 98640H (17 May 2016); https://doi.org/10.1117/12.2228142

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