Abstract
Label-free Identification of Bacteria Species Based on Divergence Angle Distribution of Light Scattering Patterns
Highlights
Pathogenic bacteria, such as Escherichia coli, Salmonella typhimurium, and Listeria monocytogenes, can cause foodborne illnesses, leading to persistent risks to food safety, and can be harmful or even deadly to humans.[1,2,3,4] The adverse effects of these bacteria are directly linked to social costs and public health issues
Bayraktar et al proposed in 2006 a forward light scattering technology to identify bacterial colonies on agar plates without the processing of samples, and they analyzed colonies consisting of six strains that belong to the genus Listeria.[14] using the Bacteria Rapid Detection using Optical Scattering Technology (BARDOT) system, Banada et al analyzed the light scattering patterns (LSPs) of Listeria species colonies in 2007(15) and performed bacterial classification by observing the characteristics associated with the LSPs of various species of Listeria in 2009.(16) Other researchers have studied bacterial LSPs by employing this system
After capturing the LSPs of E. coli, S. typhimurium, and L. monocytogenes colonies, we calculated the divergence angles (DAs) by comparing the colony size with the LSP size for each bacterial colony and analyzed the acquisition frequency of the DAs for each bacterial species
Summary
Pathogenic bacteria, such as Escherichia coli, Salmonella typhimurium, and Listeria monocytogenes, can cause foodborne illnesses, leading to persistent risks to food safety, and can be harmful or even deadly to humans.[1,2,3,4] The adverse effects of these bacteria are directly linked to social costs and public health issues. In 2010, Rajwa et al analyzed the LSPs of bacterial communities formed by different Salmonella serotypes.[18] In 2011, Bae et al identified bacterial species according to their growth time, the diameters of patterns observed in the LSPs of bacterial colonies, and the number of rings in the LSPs,(19) and in 2012, proposed a portable bacterial identification system based on LSPs.[20] In 2014, Marcoux et al investigated the LSPs of four strains of E. coli colonies cultured with different incubation times.[21] In 2015, Jo et al analyzed LSPs using Fourier transform light scattering and statistical classification,(22) and Minoni et al compared LSPs for different types of bacteria according to the location of a charge-coupled device (CCD) camera, incubation time, and diameters of bacteria colonies.[23] the LSPs of the above-mentioned bacterial communities vary significantly, depending on the sizes of the bacterial colonies, the culture medium, and the incubation time; individual bacterial species do not have their own LSPs discernible with the naked eye. Our discrimination scheme was assessed for three bacterial genera, E. coli, S. typhimurium, and L. monocytogenes When these three bacteria are cultured in a brain heart infusion (BHI) medium, their LSPs look similar, making it difficult to distinguish the patterns.
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