the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Characterization of the Vaporization Inlet for Aerosols (VIA) for Online Measurements of Particulate Highly Oxygenated Organic Molecules (HOMs)
Valter Mickwitz
Yuanyuan Luo
Ella Häkkinen
Frans Graeffe
Jiangyi Zhang
Hilkka Timonen
Manjula Canagaratna
Jordan E. Krechmer
Markku Kulmala
Juha Kangasluoma
Douglas Worsnop
Abstract. Particulate matter has major climate and health impacts, and it is therefore of utmost importance to be able to measure the composition of these particles to gain insights into their sources and characteristics. Many methods, both offline and online, have been employed over the years to achieve this goal. One of the most recent developments is the Vaporization Inlet for Aerosols (VIA) coupled to a nitrate Chemical Ionization Mass Spectrometer (NO3-CIMS), but a thorough understanding of the VIA–NO3-CIMS system remains incomplete. In this work, we ran a series of tests to assess the impacts from different systems and sampling parameters on the detection efficiency of highly oxygenated organic molecules (HOMs) in the VIA–NO3-CIMS. Firstly, we found that the current VIA system (which includes an activated carbon denuder and a vaporization tube) efficiently transmits particles (> 90 % for particles larger than 50 nm), while removing gaseous compounds (> 97 % for tested volatile organic compounds (VOCs)). One of the main differences between the VIA and traditional thermal desorption (TD) techniques is the very short residence time in the heating region, on the order of 0.1 s. We found that this short residence time and the corresponding short contact with heated surfaces, is likely one of the main reasons why relatively reactive or weakly bound, such as peroxides, were observable using the VIA. However, the VIA also requires much higher temperatures to fully evaporate the aerosol components. For example, the evaporation temperature of ammonium sulfate particles using the VIA was found to be about 100–150 °C higher than in typical TD systems. We also observed that the evaporation of particles with larger sizes occurred at slightly higher temperatures compared to smaller particles. Another major aspect that we investigated was the gas-phase wall losses of evaporated molecules. With a more optimized interface between the VIA and the NO3-CIMS, we were able to greatly decrease wall losses and thus improve on the sensitivity compared to our earlier VIA work. This interface included a dedicated sheath flow unit to cool the heated sample and provide the NO3-CIMS with the needed high flow (10 L min-1). Our results indicate that most organic molecules observable by the NO3-CIMS can evaporate and be transported efficiently in the VIA system, but upon contact with the hot walls of the VIA, the molecules are instantaneously lost. This loss potentially leads to fragmentation products that are not observable by the NO3-CIMS. Thermograms, obtained by scanning the VIA temperature, were found to be very valuable for both quantification purposes and estimating the volatility of the evaporating compounds. We developed a simple one-dimensional model to account for the evaporation of particles and the temperature-dependent wall losses of the evaporated molecules, and thereby estimate the concentration of HOMs in SOA particles. Overall, our results provide much-needed insights into the key processes underlying the VIA–NO3-CIMS method. Although there are still some limitations that could be addressed through hardware improvements, the VIA-NO3-CIMS is a very promising and useful system for fast online measurements of HOMs in the particle phase.
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Jian Zhao et al.
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CC1: 'Humidity dependence of denuder?', Ezra Wood, 12 Jun 2023
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Under what range of humidity values were the experiments that quantified how well the denuder removes gas-phase compounds (sections 2.1.1 and 3.1.1) conducted? Friedrich et al. (AMT, 13, 5739–5761, 2020, https://doi.org/10.5194/amt-13-5739-2020) demonstrated degraded performance of a similar activated carbon denuder to various nitrogen oxides under humid conditions compared to dry conditions. Ideally there is no humidity dependence for the denuder at hand to the range of organic compounds studied, but it would be reassuring for this to be experimentally determined.
Citation: https://doi.org/10.5194/egusphere-2023-1146-CC1 -
AC1: 'Reply on CC1', Jian Zhao, 21 Jun 2023
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Many thanks for this comment. We did not consider this humidity effect before. Our gas denuder experiments were conducted under dry conditions, and we observed near unity removal efficiency for the tested VOC, similar to those reported for nitrogen oxides with dry flows (Friedrich et al., 2020). But as reported by Friedrich et al. (2020), the performance of the gas denuder may decrease as the humidity increases, and in their experiments, the removal efficiency decreased to ~65% for some NOy species. Furthermore, a “used” denuder was found to release NOx (converted from stored NOz at the surface) in humid air (Friedrich et al. 2020). Testing for such effects also for organics would be very important for our study, and for other studies using a similar gas denuder as we used, e.g. in the chemical analysis of aerosol online (CHARON) inlet (Eichler et al., 2015) and the extractive electrospray ionization time-of-flight mass spectrometer (EESI-TOF) system (Lopez-Hilfiker et al., 2019). In addition, there are studies that reported similar degraded adsorption capability of activated carbon denuders to VOC in humid conditions, and this effect depends on the coating and design of the denuders (Li et al., 2020; Li et al., 2021).
In practice, dryers are typically used for ambient aerosol measurements, and thus potential humidity effects can be minimized even if the denuders show such behavior. But it is indeed very interesting and important to investigate the humidity-dependent removal efficiency of organic compounds for the denuder used in our study. We expect to be able to conduct such tests during the next months when we have access to the necessary instrumentation and will thus be able to give a more detailed answer still during this review process.
References:
Eichler, P., Müller, M., D'Anna, B., and Wisthaler, A.: A novel inlet system for online chemical analysis of semi-volatile submicron particulate matter, Atmos. Meas. Tech., 8, 1353-1360, 10.5194/amt-8-1353-2015, 2015.
Friedrich, N., Tadic, I., Schuladen, J., Brooks, J., Darbyshire, E., Drewnick, F., Fischer, H., Lelieveld, J., and Crowley, J. N.: Measurement of NOx and NOy with a thermal dissociation cavity ring-down spectrometer (TD-CRDS): instrument characterisation and first deployment, Atmos. Meas. Tech., 13, 5739-5761, 10.5194/amt-13-5739-2020, 2020.
Li, X., Zhang, L., Yang, Z., He, Z., Wang, P., Yan, Y., and Ran, J.: Hydrophobic modified activated carbon using PDMS for the adsorption of VOCs in humid condition, Separation and Purification Technology, 239, 116517, https://doi.org/10.1016/j.seppur.2020.116517, 2020.
Li, Z., Jin, Y., Chen, T., Tang, F., Cai, J., and Ma, J.: Trimethylchlorosilane modified activated carbon for the adsorption of VOCs at high humidity, Separation and Purification Technology, 272, 118659, https://doi.org/10.1016/j.seppur.2021.118659, 2021.
Lopez-Hilfiker, F. D., Pospisilova, V., Huang, W., Kalberer, M., Mohr, C., Stefenelli, G., Thornton, J. A., Baltensperger, U., Prevot, A. S. H., and Slowik, J. G.: An extractive electrospray ionization time-of-flight mass spectrometer (EESI-TOF) for online measurement of atmospheric aerosol particles, Atmos. Meas. Tech., 12, 4867-4886, 10.5194/amt-12-4867-2019, 2019.
Citation: https://doi.org/10.5194/egusphere-2023-1146-AC1
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AC1: 'Reply on CC1', Jian Zhao, 21 Jun 2023
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RC1: 'Comment on egusphere-2023-1146', Anonymous Referee #1, 12 Aug 2023
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The manuscript “Characterization of the Vaporization Inlet for Aerosols (VIA) for Online Measurements of Particulate Highly Oxygenated Organic Molecules (HOMs)” report a systematic test of VIA used with NO3-CIMS to detect HOM, including the transmission efficiency, evaporation efficiency, quantification of particle-phase HOM as well as applicability for volatility measurement.
The authors found that transmission efficiency of particles (NaCl>50 nm) is >90%. Transmission efficiency of VOC was also high. Also the transmission loss for sulfuric acid vapors was negligible according to the evaporated AS particles measured by SMPS and sulfuric acid measured by NO3-CIMS. Adding a sheath flow after VIA reduced markedly the wall loss of HOM. The signal of HOM increased with T first and then decreased, indicating the loss of HOM in VIA. Tmax correlated with Tmax obtained from FIGAERO-I-CIMS, but much higher (~100-150 ºC) than Tmax from FIGAERO. The loss efficiency of HOM obtained by a one-dimensional model was high (3-9) and correction factor depended on molecular weight.
Determination of particle-phase organic components on-line and on molecular level is critical to understand the formation, fate and impacts of organic aerosol. In this regard, this study presents a valuable attempt to evaluate and to optimize VIA combined with NO3-CIMS to be used for HOM measurement, although there is a number of limitations and challenges to use VIA for the quantification of particle-phase HOM. This manuscript is generally well-written. I have a few comments for the authors to consider before its publication in AMT.
- In this study, it was assumed that the loss of HOM was due to the collision with hot walls. What is the evidence for this assumption? It is possible that it was due to the decomposition in the air within VIA, which was not included in the model of this study as mentioned by the authors?
- Another related question. How was the uncertainty in Fig. 9 derived? I suggest the authors to further discuss the uncertainty/limitations of correction factor, e.g. how the factors not considered in the model influence CF, as it is key to the quantification of particle-phase HOM.
- Moreover, how applicable is the correction factor for one compound (molecular formula)? For example, it one does not ramp up temperature, can the correction factor be used (considering that ramping up temperature largely limits the time resolution of the method)? Or it has to be used with a thermogram? Does the correction factor depend on functional groups other than molecular weight as shown in Fig. 8b?
- I would suggest the authors to briefly discuss the advantages and disadvantages in Sect. 3.4 compared with other techniques mentioned in the introduction part.
- 2b, in the legend, is “140 ºC” the set temperature?
- 7b, is the normalize frequency of ΔT obtained from each molecular formula? Can the difference in chemical composition at different aerosol loading influence the distribution of the frequency?
- L433, Ren et al 2022 could be mentioned here.
- L511, what does the “correlation coefficient” denote?
Reference
Ren, S., Yao, L., Wang, Y., Yang, G., Liu, Y., Li, Y., Lu, Y., Wang, L., and Wang, L.: Volatility parameterization of ambient organic aerosols at a rural site of the North China Plain, Atmos. Chem. Phys., 22, 9283–9297, https://doi.org/10.5194/acp-22-9283-2022, 2022.
Citation: https://doi.org/10.5194/egusphere-2023-1146-RC1
Jian Zhao et al.
Jian Zhao et al.
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