Characterisation and Classification of Foodborne Bacteria Using Reflectance FTIR Microscopic Imaging.

ABSTRACT: This work investigates the application of reflectance Fourier transform infrared (FTIR) microscopic imaging for rapid, and non-invasive detection and classification between Bacillus subtilis and Escherichia coli cell suspensions dried onto metallic substrates (stainless steel (STS) and aluminium (Al) slides) in the optical density (OD) concentration range of 0.001 to 10. Results showed that reflectance FTIR of samples with OD lower than 0.1 did not present an acceptable spectral signal to enable classification. Two modelling strategies were devised to evaluate model performance, transferability and consistency among concentration levels. Modelling strategy 1 involves training the model with half of the sample set, consisting of all concentrations, and applying it to the remaining half. Usi

SUBMITTER: Xu JL 

PROVIDER: S-EPMC8541507 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature