How to quantify gases in air with an open-path FTIR or a variable pathlength cell Denis Bussières, Dépt. Sc. Fondamentales, Université du Québec à Chicoutimi, Saguenay, QC Since the middle of the 90’s several FTIR instruments are available to measure and quantify gases in the open atmosphere. A typical setup (monostatic) looks like this : IR beam Telescope From the good old Beer-Lambert’s law(2) : Abs = ε n l Where ε is in units of cm2 molec-1 n in units of molec cm-3 l in units of cm Mirror The sum of the line intensities over a whole band has to be done to get a comparable value(3) : FTIR Σ ε x FWHM (cm-1) Σ → S (cm molec-1) Here the FWHM was used instead of the Doppler halfwidth for a matter of availability (medium resolution spectra). Before going outside, it is easier to get spectra in the lab and make sure of the results. So, spectra were taken with a Bruker IFS66 FTIR at 0,5 cm-1 resolution (aperture of 2,5 mm) and a Wilks « variable path » cell (0,75-21,75 m) equipped with BaF2 windows. 0.9 2 0.75m NO2 spectra (22.5ppmv) 3.75m NH3 (630-1244 cm-1) SO2 (1311-1400 cm-1) NO2 (1429-1837 cm-1) 0.75m 6.75m 6.75m 0.7 1.5 9.75m 0.5 Absorbance Absorbance NH3 spectra (~1300 ppmv) Table 1. 0.3 0.1 Σ S (cm molec-1) Hitran database This work 8.78 x 10-20 6.49 x 10-20 * 3.08 x 10-17 2.71 x 10-17 5.69 x 10-17 4.72 x 10-17 1500 2000 2500 1 Then the line intensities (S) is related to the Einstein A coefficient (4) : 0.5 700 3000 -26 % -12 % -17 % * From 700 cm-1 only ΣS= 0 1000 -0.1 Difference 800 900 1000 1100 1200 A gu A -1 Wavenumbers (cm ) -0.5 Wavenumbers (cm -1 ) Figure 1. gl 8 ¶ nr3 c ν2 Figure 2. where A : Einstein A coefficient (spontaneous emission) The way the spectra were taken, the reference spectrum was made with the cell empty (pressure < 1 Torr) then the gas inserted into the cell and completed to atmospheric pressure with N2. gu and gl : degeneracies of upper and lower states (assumed to be ~1) nr : refraction index (taken as 1.00027) ν : mean wavenumber of the transition (950, 1362 and 1617 cm-1 respectively) By doing so, a series of spectra were taken by varying the optical pathlength in the cell (from 0,75 to 11,25 m). These spectra showed a moving baseline due to pathlength difference between the gas spectrum and the reference spectrum (see Figure 1). Table 2. When not respecting the Beer-Lambert law(1) (see Figures 1 and 2), spectra may be distorted and care was taken to avoid it. NH3 SO2 NO2 A usual feature in open atmosphere spectra is the presence of bands in the 1400-1800, 2250 and 3500-4000 cm-1 regions (see Figure 6). These bands are due to the ubiquitous presence of H2O and CO2 which were avoided in the lab setup. Absorbance (baseline corrected) 0.8 0.6 Absorbance 0.10 0.4 0.2 0.08 0.06 0.04 0.02 0.00 0 1230 1270 -0.02 1330 -0.2 1430 1530 1630 1730 1830 1930 Wavenumbers (cm-1) 1290 1310 1330 1350 -1 Wavenumbers (cm ) 1370 1390 0.08 R2 = 0.9648 0.07 0.06 0.05 0 2 4 6 8 Pathlength (m) 10 Figure 5. The baseline was flattened close to zero absorbance by taking reference points on each side of the region of importance and assuming a linear variation with the wavenumbers. As a simple verification, the mean baseline absorbance value between 1260 and 1270 cm-1 had a value lower than 1 milliabsorbance (see Figure 4). One peak of SO2, at 1373.8 pathlength as expected. A warm car exhaust sample (Volvo 2000) was aspirated into the cell (through 5µ filter) and diluted with N2 to give spectra in Figure 6. y = 0.0031x + 0.0517 Figure 4. cm-1, - 99.9 % - 9 % - 30 % Respecting the Beer-Lambert law allows the quantification of gases in agreement with accepted values (HITRAN). Ammonia result is three orders of magnitude off the reference value because of a distorted spectrum by too high absorbance. 0.09 2030 Figure 3. Difference Absorbance at 1373.8 cm-1 vs. pathlength (1.18 ppmv SO2) SO2 spectrum corrected (at 9.75m et ~1.18 ppm) 1250 Einstein A coefficient (s-1) Hitran database This work 33 0.044 47 38 161 93 is shown in Figure 5 to increase linearly with optical 12 Spectra of H2O and CO2 with the exact same treatment would be needed to subtract them from the ones on Figure 6 to be able to get the trace contaminant in the exhaust. Warm car exhaust diluted 621 and 3122 times in N 2 (at 2,25 m) 1.1 320 ppmv 1610 ppmv 0.9 Absorbance 0.75m 3.75m 5.25m SO2 spectra (~1.18ppmv) Absorbance (baseline corrected 1 c : speed of light (2.9979x1010 cm s-1) 0.7 0.5 mainly H2 O CO2 CO very tiny 0.3 H2 O CH4 C2H2 and C2H4 all lost in the grass CO2 0.1 700 1200 1700 2200 Wavenumbers 2700(cm-1) 3200 3700 Figure 6. Sincere thanks to Dr. G. Harris and his team members at the Center for Atmospheric Chemistry, York University for receiving me in his lab and helping me for this work. Thanks to the Université du Québec à Chicoutimi for supporting me financially through this work. (1) Shao, L., Griffiths, P.R., Chu, P.M. and Vetter, T.W., Appl. Spectro., 60, 3, pp.254-260 (2006). (2) Pouchet, I., Zéninari., V., Parvitte, B. and Durry, G., J. Quant. Spect. & Rad. Transf., 83, pp.6119-628 (2004). (3) Atkins, P. and de Paula, J., Physical Chemistry, 7th edition, 2002, W.H.Freeman and Co., New York, 1140 pages. (4) Newman, S.M., Lane, I.C., Orr-Ewing, A.J., Newnham, D.A. and Ballard, J., J.Chem.Phys., 110, 22, pp.10749-10757 (1999).