1. Development of a Simple Cost Effective Oxygenation System for In Vivo Solution State NMR in 10 mm NMR Tubes.
- Author
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Costa PM, Lysak DH, Soong R, Ronda K, Wolff WW, Downey K, Steiner K, Moxley-Paquette V, Pellizzari J, Anklin C, Sharman G, Cobas C, Domínguez S, Jobst KJ, Cahill L, Simpson MJ, and Simpson AJ
- Subjects
- Animals, Oligochaeta metabolism, Cost-Benefit Analysis, Solutions, Daphnia, Oxygen metabolism, Oxygen chemistry, Oxygen analysis, Artemia, Magnetic Resonance Spectroscopy
- Abstract
In vivo NMR is evolving into an important tool to understand biological processes and environmental responses. Current approaches use flow systems to sustain the organisms with oxygenated water and food (e.g., algae) inside the NMR. However, such systems have the potential to leak and clog (potentially damaging costly hardware), require large volumes of media, and multiple expensive HPLC pumps. The proposed "oxygenation system", uses a simple "double slit" adapter and a single air/oxygen flow line into the NMR. The design is especially suited to larger diameter probes given that standard flow systems would require higher flow rates thus amplifying the potential and impact of leaks/clogs. Traditionally, in vivo NMR of small organisms (e.g., Daphnia ) have required 2D NMR in combination with
13 C enrichment to overcome susceptibility distortions and provide information rich metabolic profiles. Here Daphnia magna , Eisenia fetida and Artemia franciscana are used to demonstrate the potential of the oxygenation system. Survivability tests and1 H time-resolved monitoring were first performed on D. magna , while E. fetida contained enough biomass to permit1 H-13 C HSQC,13 C-1 H HETCOR and31 P NMR without isotopic enrichment. Finally, STOCSY of 1D13 C NMR was used to follow the growth of A. franciscana (without13 C enrichment) for 48 h after birth, which helps visualize trends across a series of 1D in vivo data. In summary, application of the oxygenation system toward larger diameter probes allows the collection of NMR data without enrichment, offering a promising solution to better understand processes in vivo.- Published
- 2024
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