Penn
State researchers have developed a prototype sonic gas analyzer that automatically
and continuously tracks the concentration of a gas in an air/gas mixture
based on changes in pitch.
Miguel Horta, doctoral candidate
in acoustics who is currently working on the sonic gas analyzer as part
of his dissertation, says, "The system automatically cancels out the background
and flow noise and can detect changes in gas concentration as low as 0.003
percent – plenty sensitive enough, for example, to let you know if you've
got an explosive mixture."
The Penn State researchers are developing
the current prototype to track continuously the concentrations of hydrogen
produced by bacteria in microbial fuel cells (MFC). In MFCs, bacteria feed
on the organic matter in wastewater and produce hydrogen for use as fuel
while simultaneously cleaning the water.
However, the researchers say their
new system also could be adapted for tracking toxic or flammable gases
in mines, sewers or landfills, for hydrogen detectors in battery compartments
of boats and electric cars or in industries where gases are consumed as
feedstocks.
Horta will detail the system and
his measurements on helium, sulfur hexafluoride and hydrogen produced by
non-bacterial sources in a talk set for Oct. 19 at the Acoustical Society
of America/Society of Noise Control Engineers (ASA/Noise-Con 2005) in Minneapolis,
Minn. His presentation is titled Sonic Gas Analyzer for Microbiological
Metabolic Measurements. His co-author is his thesis adviser, Dr. Steven
Garrett, the United Technologies Corp. professor of acoustics.
Garrett explains that, in the Penn
State sonic gas analyzer, a miniature speaker produces a tone barely audible
outside the resonator that sounds like a whistle. Two tiny microphones
capture the tone, called a resonance frequency, and the two-microphone
outputs are then subtracted to double the signal of interest and cancel
any extraneous noise before being fed to an electronic tracking system,
called a phase-locked loop. This tracking system determines the changes
in the resonance frequency caused by the changes in gas concentration,
while simultaneously correcting for any changes in the gas temperature.
Horta adds, "If the concentration
of a gas in the gas/air mixture passing through the system changes, the
new concentration will affect the sound's speed which will, in turn, change
the resonance frequency. That change in resonance frequency or pitch, as
detected by the microphones and tracking system, tells us what the change
in gas concentration is at every instant without disturbing the system
or requiring extraction of gas samples."
Sonic gas analyzers can be used in
the same applications as thermal conductivity analyzers, the researchers
point out. However, since the sonic gas analyzer only introduces sound,
it doesn't change the temperature of the gas mixture, as do thermal conductivity
analyzers.
Garrett notes, "Keeping the temperature
unaltered by external devices is crucial to obtaining detailed information
about the gas mixture in a microbial fuel cell without affecting the bacteria."
Horta's measurements on helium, sulfur
hexafluoride, and hydrogen show an immediate response by the analyzer to
the introduction of a contaminating gas. The necessary time for the gases
to become thoroughly mixed within the system varies from approximately
30 seconds for lighter gases like helium and hydrogen to about one minute
for the heavier sulfur hexafluoride. Once the gases are mixed, the resonance
frequency is stable to about 0.02 Hz, corresponding to a concentration
resolution on the order of 30 parts-per-million.
The absolute accuracy of the change
in frequency has an uncertainty of about 0.13 Hz for sulfur hexafluoride
and 0.6 Hz for helium, corresponding to absolute accuracies in concentration
of 0.015 percent and 0.02 percent respectively. In the case of hydrogen,
the uncertainty of a concentration measurement is 0.118 percent.
Garrett explains, "An uncertainty
of 0.1 percent means that, if we measure a concentration of, say, two percent
of helium in air, our statistical error analysis tells us that the value
is, for sure, between 1.9 percent and 2.1 percent."
The researchers are working on modifications
in the design of the analyzer to further improve the accuracy of the measurements.
The research project is supported
by the endowment for the United Technologies Corporation Professorship
that Garrett holds.

|