Literature DB >> 30625548

Detection of Salmonella from chicken rinsate with visible/near-infrared hyperspectral microscope imaging compared against RT-PCR.

Matthew Eady1, Gayatri Setia1, Bosoon Park2.   

Abstract

Salmonella is an organism of importance to the poultry industry with increasingly stringent government regulatory standards. Real-time polymerase chain reaction (RT-PCR) and plating procedures on nutrient enriched growth media have been the standard detection methods of Salmonella from broiler chicken carcasses for years. These methods are proven, but offer disadvantages in the amount of time or reoccurring sample cost. Here, we propose the use of a hyperspectral microscope imaging system (HMI) for comparison to standard detection methods. Broiler chicken carcasses were rinsed and plated on Salmonella selective agar. Colonies from plates were picked and RT-PCR was used as a confirmation test to verify plating results, while HMI was collected from the same colonies. Spectral signatures of cells were extracted between 450 and 800 nm from HMI collected with 100x objective. A quadratic discriminant analysis (QDA) was used to classify cells as either Salmonella positive or negative (n = 341). Spectra preprocessing minimized the influence of cellular shape on the spectra, increasing the initial classification accuracy of 81.8-98.5%, yielding a sensitivity of 1.0, and a specificity of 0.963. Results showed the potential as an initial investigation of HMI as a microbial confirmation tool, compared to RT-PCR. Published by Elsevier B.V.

Entities:  

Keywords:  Food safety; Hyperspectral microscope; Polymerase chain reaction; Rapid detection; Salmonella

Mesh:

Substances:

Year:  2018        PMID: 30625548     DOI: 10.1016/j.talanta.2018.11.071

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


  3 in total

1.  Application of Hyperspectral Imaging as a Nondestructive Technique for Foodborne Pathogen Detection and Characterization.

Authors:  Ernest Bonah; Xingyi Huang; Joshua Harrington Aheto; Richard Osae
Journal:  Foodborne Pathog Dis       Date:  2019-07-15       Impact factor: 3.171

2.  Developing an affordable hyperspectral imaging system for rapid identification of Escherichia coli O157:H7 and Listeria monocytogenes in dairy products.

Authors:  Phoebe Unger; Amninder Singh Sekhon; Xiongzhi Chen; Minto Michael
Journal:  Food Sci Nutr       Date:  2022-01-18       Impact factor: 2.863

Review 3.  Literature review: spectral imaging applied to poultry products.

Authors:  Anastasia Falkovskaya; Aoife Gowen
Journal:  Poult Sci       Date:  2020-04-26       Impact factor: 3.352

  3 in total

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