Quantitative Spectroscopic Characterization of Near-UV/visible E. coli (pYAC4), B. subtilis (PY79), and Green Bread Mold Fungus Fluorescence for Diagnostic Applications.
Joshua M HerzogVolker SickPublished in: Journal of fluorescence (2023)
Ultraviolet (UV)-excited visible fluorescence is an attractive option for low-cost, low-complexity, rapid imaging of bacterial and fungal samples for imaging diagnostics in the biomedical community. While several studies have shown there is potential for identification of microbial samples, very little quantitative information is available in the literature for the purposes of diagnostic design. In this work, two non-pathogenic bacteria samples (E. coli pYAC4, and B. subtilis PY79) and a wild-cultivated green bread mold fungus sample are characterized spectroscopically for the purpose of diagnostic design. For each sample, fluorescence spectra excited with low-power near-UV continuous wave (CW) sources, and extinction and elastic scattering spectra are captured and compared. Absolute fluorescence intensity per cell excited at 340 nm is estimated from imaging measurements of aqueous samples. The results are used to estimate detection limits for a prototypical imaging experiment. It was found that fluorescence imaging is feasible for as few as 35 bacteria cells (or [Formula: see text]30 µm 3 of bacteria) per pixel, and that the fluorescence intensity per unit volume is similar for the three samples tested here. A discussion and model of the mechanism of bacterial fluorescence in E. coli is provided.
Keyphrases
- energy transfer
- high resolution
- fluorescence imaging
- single molecule
- escherichia coli
- low cost
- photodynamic therapy
- healthcare
- induced apoptosis
- systematic review
- quantum dots
- high intensity
- mesenchymal stem cells
- loop mediated isothermal amplification
- density functional theory
- ionic liquid
- molecular docking
- stem cells
- health information
- mass spectrometry
- oxidative stress
- signaling pathway
- cell cycle arrest
- endoplasmic reticulum stress
- cell proliferation
- molecular dynamics simulations
- bioinformatics analysis
- climate change
- genetic diversity
- cell wall