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We cite here excerpts from published papers and a list other
references that confirm this information.
1. “Effect of Resolution on Quantification in Open-Path Fourier
Transform Infrared Spectrometry under Conditions of Low Detector Noise: I.Classical Least Squares Regression,” B.K. Hart and
P.R. Griffiths, Env. Sci. Technol., 34, 1337-1345 (2000). “For most of the
spectra calculated with equidistant backgrounds, there is a small improvement
in predictive accuracy as the resolution is degraded from 1 to 8 cm (-1),
followed by a reduction in accuracy for most compounds as the resolution
continues to decrease.”
“Only for the cases of methane and ethane computed with
equidistant backgrounds are the predictions obtained from 1 cm (-1) resolution
spectra better than the 4 cm (-1) resolution spectra.”
“For propane, n-butane, and n-pentane, the accuracy
of the CLS predictions improves as the resolution is degraded from 1 to 4 cm
(-1), remains fairly constant to 16 cm (-1) resolution, and then starts to
become worse as the resolution is lowered further.”
“These data suggest that the resolution required to optimize the
measurement strongly depends on whether the analyte is a small molecule with
resolvable rotational fine structure or a larger molecule where the spacing of
the rotational lines is less than the collision-broadened FWHH of the lines.”
“An analogous trend is observed for the chlorinated hydrocarbons.”
Also see second article “…II. Partial Least Squares Regression,”
B.K. Hart, R.J. Berry, and P.R. Griffiths, Env. Sci. Technol., 34, 1346-1351
(2000).
2. “Fourier Transform Infrared Spectrometry in Atmospheric and
Trace Gas Analysis,” David W.T. Griffith and Ian M. Jamie, in Encyclopedia of
Analytical Chemistry, R.A. Meyers (Ed.), pp. 1979-2007, John Wiley & Sons
Ltd., Chichester, 2000.
“…it is clear that the selection of spectral resolution for a
measurement is a critical choice. While the spectroscopist would argue for high
resolution to resolve all bands, the analytical chemist would argue for the
lowest acceptable resolution to maximize S/N and quantitative precision. In practice,
a balance must be struck to suit the demands of the individual measurement, and
this requires an informed judgement by the operator.”
“Several authors have discussed the choice of resolution in long
open-path monitoring when using CLS analysis. …While there is no definitive
“best” resolution, there is a general consensus towards 1-2 cm (-1) as a
reasonable compromise between spectral discrimination of overlapping bands and
quantitative accuracy. Griffiths and co-workers make the case that lower resolution
(8 cm (-1)) may be practical when using PLS for quantitative analysis.”
3. Dr. Henry Buijs, ABB Bomem, Private Communication, 2004.
“When you want to study the molecular structure of different
molecules by the disposition of all the spectral lines, you need to be able to
see all the spectral lines. Some line groups have very close spacing such as in
a Q branch of a rotation-vibration band. At low pressure the Doppler width of
lines in the mid-IR for room temperature gas is in the order of 0.004 cm (-1).”
”When you are working with gas mixtures for which you don't know
beforehand what species might be present, you need to have sufficient
resolution to identify species (by eye) that have bands close to other species.
A good example is NO or NO2 in the presence of water vapor. At low concentrations
of NO or NO2 it is very hard to see the spectral lines amongst the usually
strong water lines. … As was shown by (a student) in his studies with Bill
Fateley using our DA2, he found that at 0.1 cm-1 the spectra were too noisy to
be useful. By degrading the resolution you come to a "sweet spot"
where you can see a lot of detail with good signal to noise ratio and for long
open paths. This sweet spot is around 0.5 cm-1.”
“When you require the quantification of gas mixtures with ‘known’
components, the resolution requirement is completely different. ”The computed
quantity of gas does not depend on a visualization of the spectra. It is well
known that a multivariate analysis such as PLS works as well on blended overlapping
spectral features as on isolated lines: It does not care about resolution.
Given this you want to specify a resolution that gives maximum sensitivity of
quantification of gas species taking into account signal to noise ratio and
interference effects. Based on work by Peter Griffiths, (a company) has decided
that this resolution can be as low as 8 cm-1. Because of excessive blending of lines
in some cases, I agree with (person) that 4 or 2 cm-1 resolution is probably a
bit closer to ideal than 8 cm-1 because of dealing with excessive overlap in
some cases.”
”The spec of 0.5 cm-1 has been used often to effectively eliminate
some competitors. The way to fight it is to provide a turnkey solution complete
with calibrations for the gases required and to provide (and insist on) the
specifications of analysis sensitivity, selectivity and accuracy.”
4. Professor Emeritus William G. Fateley, Kansas State University , Private
Communication, April 12, 2005.
“High resolution is not necessary for gas analyses; 8, 16, 32 cm
(-1) is enough.”
Prof. Fateley also cited the Thesis of Roseann Hoffman at Kansas State University as supporting
evidence.
5. “Compendium of Methods for the Determination of Toxic Organic
Compounds in Ambient Air. Second Edition. Compendium Method TO-16, Long-Path
Open-Path Fourier Transform Infrared Monitoring of Atmospheric Gases,” Center
for Environmental Research Information, Office of Research and Development,
U.S. Environmental Protection Agency, Cinncinnati, OH 45268, January 1999.
“Section 6.2 FT-IR Sensor Requirements “6.2.4 The system must be
able to operate with a resolution of at least 1 cm (-1) over the midinfrared region
(700-4200 cm(-1)).”
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