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A survey of published papers examining FTIR resolution requirements and questioning the need for extremely high resolution
FTIR Spectroscopy is a widely used technique for gas
analyses in industrial applications. It is a technique
used in the semiconductor industry for measuring
the purity of cleaning, etching, and epi-treatment gases
used with various process tools, reactors, and abatement
devices. Among chemical companies and R&D facilities,
FTIR is applied to combustion thermodynamics and stack
gas emissions; and it is broadly used for building and
plant ambient air monitoring.
There is a belief among some end users and among some FTIR suppliers that high resolution—namely 0.1 or
0.5 cm-¹—is absolutely required of an FTIR spectrometer
to achieve high accuracy concentration measurements
in any of the above applications. However, there are substantial
citations in the published literature to discount
that supposition on high resolution; those citations indicate
that instrument resolutions of 2, 4, 8, or 16 cm-¹ are
more than adequate to provide high quality concentration
measurements for most industrial applications.
We cite here excerpts from published papers and a list
of 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. Griffi ths, 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.”
“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
fi ne structure or a larger molecule where the spacing of
the rotational lines is less than the collision-broadened
FWHH of the lines.”
“It is clear that the selection of spectral resolution for a measurement is a critical choice.”
“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. Griffi ths, Env. Sci. Technol.,
34, 1346-1351 (2000).
2. “Fourier Transform Infrared Spectrometry in Atmospheric
and Trace Gas Analysis,” David W.T. Griffi th 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
judgment 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. Griffi ths
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 diff erent. ”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 quantifi cation of gas species
taking into account signal to noise
ratio and interference eff ects. Based
on work by Peter Griffi ths, [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 eff ectively eliminate some
competitors. The way to fi ght it is
to provide a turnkey solution complete
with calibrations for the gases
required and to provide (and insist on)
the specifi cations 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 Hoff man 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, Cincinnati, 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 mid-infrared region
(700-4200 cm-¹).”
Summary of Above Five
Citations
For analytical measurements of gas
concentrations in gas mixtures where
most of the compounds are known or
expected, an instrument resolution of 1, 2, 4, or 8 cm-¹ is fully adequate. Higher resolution
of 0.5 cm -¹ or better is only required
for spectroscopic studies related to molecular
structure studies.
“The spec of 0.5 cm-¹ has been used often to effectively eliminate some competitors.”
Additional Literature Citations
6. “Open-Path Atmospheric Monitoring with
a Low-Resolution FT-IR Spectrometer,” P.R.
Griffi ths, R.L. Richardson, D. Qin, and C.
Zhu, Proc. Optical Sensing for Environmental
and Process Monitoring, O.A.
Simpson, Ed., AWMA, VIP-37 (SPIE Vol.
2365), 274-284 (1995).
7. “FT-IR Measurements of Atmospheric Trace
Gases and their Fluxes,” David W.T. Griffi th,
Handbook of Vibrational Spectroscopy,
John M. Chalmers and Peter R. Griffi ths
(Editors), pp. 1-16, John Wiley & Sons Ltd,
Chichester, 2002.
8. B.R Stallard, R.K. Rowe, M.J. Garcia, D.M.
Haaland, L.H. Espinoza, and T.M. Niemczyk,
“Trace Water Vapor Determination in
Corrosive Gases by Infrared Spectroscopy,”
Sandia Report, SAND93-4026, (December
1993) p. 51.
9. Peter R. Griffi ths and James A. de Haseth,
Fourier Transform Infrared Spectrometry, p.
475, Figure 22.7, John Wiley & Sons, Inc.
2007
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