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Diagnosis just a breath away with new laser that advances breath analysis for disease diagnosis

Date:
January 31, 2014
Source:
University of Adelaide
Summary:
Physics researchers have developed a new type of laser that will enable exciting new advances in areas as diverse as breath analysis for disease diagnosis and remote sensing of critical greenhouse gases.
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University of Adelaide physics researchers have developed a new type of laser that will enable exciting new advances in areas as diverse as breath analysis for disease diagnosis and remote sensing of critical greenhouse gases.

Published in the journal Optics Letters, the researchers from the University's Institute for Photonics and Advanced Sensing and the School of Chemistry and Physics describe how they have been able to produce 25 times more light emission than other lasers operating at a similar wavelength -- opening the way for detection of very low concentrations of gases.

"This laser has significantly more power and is much more efficient than other lasers operating in this frequency range," says Ori Henderson-Sapir, PhD researcher. "Using a novel approach, we've been able to overcome the significant technical hurdles that have prevented fiber lasers from producing sufficient power in the mid-infrared."

The new laser operates in the mid-infrared frequency range -- the same wavelength band where many important hydrocarbon gases absorb light.

"Probing this region of the electromagnetic spectrum, with the high power we've achieved, means we will be able to detect these gases with a high degree of sensitivity," says Project Leader Dr David Ottaway. "For instance, it should enable the possibility of analysing trace gases in exhaled breath in the doctors' surgery."

Research has shown that with various diseases, minute amounts of gases not normally exhaled can be detected in the breath; for example, acetone can be detected in the breath when someone has diabetes.

Other potential applications include detection in the atmosphere of methane and ethane which are important gases in global warming.

"The main limitation to date with laser detection of these gases has been the lack of suitable light sources that can produce enough energy in this part of the spectrum," says Dr Ottaway. "The few available sources are generally expensive and bulky and, therefore, not suitable for widespread use."

The new laser uses an optical fiber which is easier to work with, less bulky and more portable, and much more cost effective to produce than other types of laser.

The researchers, who also include Jesper Munch, Emeritus Professor of Experimental Physics, reported light emission at 3.6 microns -- the deepest mid-infrared emission from a fiber laser operating at room temperature. They have also shown that the laser has the promise of efficient emission across a large wavelength spectrum from 3.3-3.8 micron.

"This means it has incredible potential for scanning for a range of gases with a high level of sensitivity, with great promise as a very useful diagnostic and sensing tool," says Dr Ottaway.

This research was supported by the State Government through the Premiers Science Research Foundation (PSRF).


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Materials provided by University of Adelaide. Note: Content may be edited for style and length.


Journal Reference:

  1. Ori Henderson-Sapir, Jesper Munch, David J. Ottaway. Mid-infrared fiber lasers at and beyond 35 μm using dual-wavelength pumping. Optics Letters, 2014; 39 (3): 493 DOI: 10.1364/OL.39.000493

Cite This Page:

University of Adelaide. "Diagnosis just a breath away with new laser that advances breath analysis for disease diagnosis." ScienceDaily. ScienceDaily, 31 January 2014. <www.sciencedaily.com/releases/2014/01/140131083248.htm>.
University of Adelaide. (2014, January 31). Diagnosis just a breath away with new laser that advances breath analysis for disease diagnosis. ScienceDaily. Retrieved December 22, 2024 from www.sciencedaily.com/releases/2014/01/140131083248.htm
University of Adelaide. "Diagnosis just a breath away with new laser that advances breath analysis for disease diagnosis." ScienceDaily. www.sciencedaily.com/releases/2014/01/140131083248.htm (accessed December 22, 2024).

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