Cellular Light Scattering for the Identification of Bacteria and Its Application to the Identification of Staphylococcus

Author:

Haavig David L1,Hollen Kaylagh R2,Debruin Abbey E2,Lisecki Shelbi R2,Shoup Nicole C2,Stimac Mickey J H3,Treloar Anthony M3,Jodoin Zachary N2,Bohm Margaret S2,Sharp Josh S2

Affiliation:

1. Micro Identification Technologies, 970 Calle Amanecer, Suite F, San Clemente, CA 92673, USA

2. Northern Michigan University, Biology Department, 1401 Presque Isle Ave, Marquette, MI 49855, USA

3. Northern Michigan University, Clinical Life Sciences Department, 1401 Presque Isle Ave, Marquette, MI 49855, USA

Abstract

Abstract Rapid identification of bacteria is critical in clinical and food safety applications. This paper describes a novel instrument and data analysis method for identifying bacteria based on the measurement of laser light scattering as the beam interacts with bacterial cells suspended in water. A description of the technology is followed by an identification performance study for a set of strains from the genus Staphylococcus (the inclusive target organisms) and a set of non-Staphylococcus strains (the exclusive organisms). Staphylococcus and non-Staphylococcus cells were grown on sheep blood agar (SBA), tryptic soy agar, brain heart infusion (BHI) agar, or Luria–Bertani (LB) agar and identified based on how cells scattered light. Bacteria from the genus Staphylococcus grown on solid media were correctly identified more than 92% of the time. To determine whether the system could also identify bacteria grown in liquid culture, six different Staphylococcus strains and six different non-Staphylococcus strains were grown in tryptic soy broth, BHI broth, or LB broth. This system accurately identified all targeted Staphylococcus samples tested, and no misidentifications occurred. A single-blind identification experiment was also performed on human clinical isolates obtained from the Upper Peninsula Health System. Ninety blind-coded clinical bacterial isolates on SBA were tested to determine whether they were from the genus Staphylococcus. All Staphylococcus were accurately identified, and no misidentifications occurred. This study demonstrated the proof of concept of a novel system that can rapidly and accurately identify bacteria from pure culture based on cellular light-scattering properties.

Publisher

Oxford University Press (OUP)

Subject

Pharmacology,Agronomy and Crop Science,Environmental Chemistry,Food Science,Analytical Chemistry

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