4.6 Article

A near-infrared optical nanosensor for measuring aerobic respiration in microbial systems

Journal

ANALYST
Volume 147, Issue 1, Pages 120-129

Publisher

ROYAL SOC CHEMISTRY
DOI: 10.1039/d1an01855h

Keywords

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Funding

  1. US Department of Energy (DOE) office of Science, Office of Biological and Environmental Research Bioimaging Science Program [B643823]
  2. LLNL 3DQ Microscope Project [SCW1713]

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A ratiometric oxygen-sensitive nanosensor was developed and used to monitor metabolic oxygen consumption in microbial samples. The nanosensor system overcomes imaging issues in biological systems and is reversible, allowing for the temporal monitoring of oxygen levels in response to external stimuli.
We developed a ratiometric oxygen-sensitive nanosensor and demonstrated application in monitoring metabolic oxygen consumption in microbial samples over time. Based on a near-infrared (NIR) emitting oxygen-quenched luminophore, platinum(ii) octaethylporphine ketone (PtOEPK), along with a stable dioctadecyl dicarbocyanine reference dye (DiD), this nanosensor system provides an advantageous approach for overcoming imaging issues in biological systems, such as autofluorescence and optical scattering in the visible wavelength region. The dyes are encapsulated within a polymer-based nanoparticle matrix to maintain them at a constant ratio in biological samples, precluding the need for complex synthetic approaches. With this constant ratio of the two dyes, the nanosensor response can be measured as a ratio of their two signals, accounting for nanosensor concentration artifacts in measurements. The nanosensors are reversible, which enabled us to temporally monitor systems in which dissolved oxygen concentrations both increase and decrease. These sensors were applied for the monitoring of oxygen in samples of Saccharomyces cerevisiae (brewing yeast) in a 96-well optical fluorescence plate reader format over 60 h. By mixing the nanosensors directly into the sample well with the yeast, we were able to dynamically track metabolic activity changes over time due to varying cell concentration and exposure to an antimicrobial agent. This system could be a potential platform for high-throughput screening of various species or variants of microbes with unknown metabolic rates in response to external stimuli (antimicrobials, metabolites, etc.).

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