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Nitric Oxide Signaling Pathway01:28

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Nitric oxide (NO), an inorganic gas, acts as a potent second messenger in most animal and plant tissues. NO diffuses out of the cells that produce it and enters the neighboring cells to generate a downstream response. NO synthase (NOS) catalyzes NO production by the deamination of the amino acid arginine. There are three isoforms of NOS. Endothelial cells have endothelial NOS (eNOS), nerve and muscle cells have neuronal NOS (nNOS), and macrophages produce inducible NOS (iNOS) upon exposure...
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Shortly after de Broglie published his ideas that the electron in a hydrogen atom could be better thought of as being a circular standing wave instead of a particle moving in quantized circular orbits, Erwin Schrödinger extended de Broglie’s work by deriving what is now known as the Schrödinger equation. When Schrödinger applied his equation to hydrogen-like atoms, he was able to reproduce Bohr’s expression for the energy and, thus, the Rydberg formula governing hydrogen spectra.
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Quantum Cascade Lasers-Based Detection of Nitric Oxide.

Gracia Montilla-Bascón1, Julien Mandon2, Frans J M Harren2

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Methods in Molecular Biology (Clifton, N.J.)
|March 31, 2018
PubMed
Summary

Quantifying nitric oxide (NO) in plants is challenging. This study presents a highly sensitive quantum cascade laser (QCL) spectroscopy method for precise online measurement of gaseous NO production in plants.

Keywords:
Drought stressLaser based infrared spectroscopyMultipass cellNitric oxideQuantum cascade laser

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Area of Science:

  • Plant Physiology
  • Biochemistry
  • Spectroscopy

Background:

  • Nitric oxide (NO) plays crucial roles in plant physiology and molecular processes.
  • Existing methods for NO quantification often lack specificity, sensitivity, or are highly dependent on experimental conditions.

Purpose of the Study:

  • To describe a protocol for measuring gaseous NO produced by biological samples.
  • To introduce a novel method utilizing quantum cascade laser (QCL)-based spectroscopy for NO detection.

Main Methods:

  • Utilized QCL-based spectroscopy to measure gaseous NO.
  • Employed an optical cell with mirrors to increase laser light interaction path length with NO molecules.
  • Developed a protocol for online, in planta NO production measurements.

Main Results:

  • The QCL-based spectroscopy method demonstrates high selectivity and sensitivity for NO detection.
  • Achieved detection limits down to parts per billion by volume (ppbv) levels.
  • Enabled online monitoring of NO production dynamics in biological samples.

Conclusions:

  • QCL-based spectroscopy offers a robust and reliable method for quantifying NO in plants.
  • This technique overcomes limitations of previous NO measurement methods.
  • Provides a valuable tool for studying NO dynamics in plant physiological and molecular processes.