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Real-time quantification of viable bacteria in liquid medium using infrared thermography
Authors:Ahmad A. Salaimeh  Jeffrey J. Campion  Belal Y. Gharaibeh  Martin E. Evans  Kozo Saito
Affiliation:aInstitute of Research for Technology Development (IR4TD), College of Engineering, University of Kentucky, Lexington, Kentucky, United States;bDivision of Infectious Diseases, Department of Internal Medicine, College of Medicine, University of Kentucky, Lexington, Kentucky, United States;cVeterans Affairs Medical Center, Lexington, Kentucky, United States
Abstract:Quantifying viable bacteria in liquids is important in environmental, food processing, manufacturing, and medical applications. Since vegetative bacteria generate heat as a result of biochemical reactions associated with cellular functions, thermal sensing techniques, including infrared thermography (IRT), have been used to detect viable cells in biologic samples. We developed a novel method that extends the dynamic range and improves the sensitivity of bacterial quantification by IRT. The approach uses IRT video, thermodynamics laws, and heat transfer mechanisms to directly measure, in real-time, the amount of energy lost as heat from the surface of a liquid sample containing bacteria when the specimen cools to a lower temperature over 2 min. We show that the Energy Content (EC) of liquid media containing as few as 120 colony-forming units (CFU) of Escherichia coli per ml was significantly higher than that of sterile media (P < 0.0001), and that EC and viable counts were strongly positively correlated (r = 0.986) over a range of 120 to approximately 5 × 108 CFU/ml. Our IRT approach is a unique non-contact method that provides real-time bacterial enumeration over a wide dynamic range without the need for sample concentration, modification, or destruction. The approach could be adapted to quantify other living cells in a liquid milieu and has the potential for automation and high throughput.
Keywords:Infrared thermography   Energy Content   Biosensors   Real-time   Bacterial quantification
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