Articles | Volume 1, issue 1
https://doi.org/10.5194/ar-1-65-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/ar-1-65-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
22 Dec 2023
Research article |
| 22 Dec 2023
| 22 Dec 2023
A novel measurement system for unattended, in situ characterization of carbonaceous aerosols
Alejandro Keller
CORRESPONDING AUTHOR
Institute for Sensors and Electronics, University of Applied Sciences and Arts Northwestern Switzerland, Klosterzelgstrasse 2, 5210 Windisch, Switzerland
Patrick Specht
Institute for Sensors and Electronics, University of Applied Sciences and Arts Northwestern Switzerland, Klosterzelgstrasse 2, 5210 Windisch, Switzerland
Peter Steigmeier
Institute for Sensors and Electronics, University of Applied Sciences and Arts Northwestern Switzerland, Klosterzelgstrasse 2, 5210 Windisch, Switzerland
Ernest Weingartner
Institute for Sensors and Electronics, University of Applied Sciences and Arts Northwestern Switzerland, Klosterzelgstrasse 2, 5210 Windisch, Switzerland
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E. Hammer, N. Bukowiecki, B. P. Luo, U. Lohmann, C. Marcolli, E. Weingartner, U. Baltensperger, and C. R. Hoyle
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P. Kupiszewski, E. Weingartner, P. Vochezer, M. Schnaiter, A. Bigi, M. Gysel, B. Rosati, E. Toprak, S. Mertes, and U. Baltensperger
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E. A. Bruns, I. El Haddad, A. Keller, F. Klein, N. K. Kumar, S. M. Pieber, J. C. Corbin, J. G. Slowik, W. H. Brune, U. Baltensperger, and A. S. H. Prévôt
Atmos. Meas. Tech., 8, 2315–2332, https://doi.org/10.5194/amt-8-2315-2015, https://doi.org/10.5194/amt-8-2315-2015, 2015
A. Worringen, K. Kandler, N. Benker, T. Dirsch, S. Mertes, L. Schenk, U. Kästner, F. Frank, B. Nillius, U. Bundke, D. Rose, J. Curtius, P. Kupiszewski, E. Weingartner, P. Vochezer, J. Schneider, S. Schmidt, S. Weinbruch, and M. Ebert
Atmos. Chem. Phys., 15, 4161–4178, https://doi.org/10.5194/acp-15-4161-2015, https://doi.org/10.5194/acp-15-4161-2015, 2015
B. Rosati, G. Wehrle, M. Gysel, P. Zieger, U. Baltensperger, and E. Weingartner
Atmos. Meas. Tech., 8, 921–939, https://doi.org/10.5194/amt-8-921-2015, https://doi.org/10.5194/amt-8-921-2015, 2015
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Only few measurements focused on vertical profiles of aerosol hygroscopic and optical properties in airborne studies. For this purpose the white-light optical particle spectrometer (WHOPS) was developed. It allows a relatively fast measurement of the particles hygroscopicity, mixing state and index of refraction of particles in the optically relevant size range. This paper presents a detailed technical description and characterization of the WHOPS and first results from the field.
A. D. Griffiths, F. Conen, E. Weingartner, L. Zimmermann, S. D. Chambers, A. G. Williams, and M. Steinbacher
Atmos. Chem. Phys., 14, 12763–12779, https://doi.org/10.5194/acp-14-12763-2014, https://doi.org/10.5194/acp-14-12763-2014, 2014
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Radon detectors at Bern and Jungfraujoch were used to monitor the transport of radon-rich boundary layer air from the Swiss Plateau to the Alpine ridge. Radon was successfully used to discriminate between different types of vertical transport, using the shape of the diurnal cycle to identify days with upslope mountain winds. For many air-mass properties, however, the total land-surface influence (indicated by the radon concentration) was more decisive than the type of vertical transport.
E. Hammer, M. Gysel, G. C. Roberts, T. Elias, J. Hofer, C. R. Hoyle, N. Bukowiecki, J.-C. Dupont, F. Burnet, U. Baltensperger, and E. Weingartner
Atmos. Chem. Phys., 14, 10517–10533, https://doi.org/10.5194/acp-14-10517-2014, https://doi.org/10.5194/acp-14-10517-2014, 2014
D. C. S. Beddows, M. Dall'Osto, R. M. Harrison, M. Kulmala, A. Asmi, A. Wiedensohler, P. Laj, A.M. Fjaeraa, K. Sellegri, W. Birmili, N. Bukowiecki, E. Weingartner, U. Baltensperger, V. Zdimal, N. Zikova, J.-P. Putaud, A. Marinoni, P. Tunved, H.-C. Hansson, M. Fiebig, N. Kivekäs, E. Swietlicki, H. Lihavainen, E. Asmi, V. Ulevicius, P. P. Aalto, N. Mihalopoulos, N. Kalivitis, I. Kalapov, G. Kiss, G. de Leeuw, B. Henzing, C. O'Dowd, S. G. Jennings, H. Flentje, F. Meinhardt, L. Ries, H. A. C. Denier van der Gon, and A. J. H. Visschedijk
Atmos. Chem. Phys., 14, 4327–4348, https://doi.org/10.5194/acp-14-4327-2014, https://doi.org/10.5194/acp-14-4327-2014, 2014
E. Hammer, N. Bukowiecki, M. Gysel, Z. Jurányi, C. R. Hoyle, R. Vogt, U. Baltensperger, and E. Weingartner
Atmos. Chem. Phys., 14, 1123–1139, https://doi.org/10.5194/acp-14-1123-2014, https://doi.org/10.5194/acp-14-1123-2014, 2014
P. Zieger, R. Fierz-Schmidhauser, E. Weingartner, and U. Baltensperger
Atmos. Chem. Phys., 13, 10609–10631, https://doi.org/10.5194/acp-13-10609-2013, https://doi.org/10.5194/acp-13-10609-2013, 2013
Z. Jurányi, T. Tritscher, M. Gysel, M. Laborde, L. Gomes, G. Roberts, U. Baltensperger, and E. Weingartner
Atmos. Chem. Phys., 13, 6431–6446, https://doi.org/10.5194/acp-13-6431-2013, https://doi.org/10.5194/acp-13-6431-2013, 2013
M. Laborde, M. Crippa, T. Tritscher, Z. Jurányi, P. F. Decarlo, B. Temime-Roussel, N. Marchand, S. Eckhardt, A. Stohl, U. Baltensperger, A. S. H. Prévôt, E. Weingartner, and M. Gysel
Atmos. Chem. Phys., 13, 5831–5856, https://doi.org/10.5194/acp-13-5831-2013, https://doi.org/10.5194/acp-13-5831-2013, 2013
H. Keskinen, A. Virtanen, J. Joutsensaari, G. Tsagkogeorgas, J. Duplissy, S. Schobesberger, M. Gysel, F. Riccobono, J. G. Slowik, F. Bianchi, T. Yli-Juuti, K. Lehtipalo, L. Rondo, M. Breitenlechner, A. Kupc, J. Almeida, A. Amorim, E. M. Dunne, A. J. Downard, S. Ehrhart, A. Franchin, M.K. Kajos, J. Kirkby, A. Kürten, T. Nieminen, V. Makhmutov, S. Mathot, P. Miettinen, A. Onnela, T. Petäjä, A. Praplan, F. D. Santos, S. Schallhart, M. Sipilä, Y. Stozhkov, A. Tomé, P. Vaattovaara, D. Wimmer, A. Prevot, J. Dommen, N. M. Donahue, R.C. Flagan, E. Weingartner, Y. Viisanen, I. Riipinen, A. Hansel, J. Curtius, M. Kulmala, D. R. Worsnop, U. Baltensperger, H. Wex, F. Stratmann, and A. Laaksonen
Atmos. Chem. Phys., 13, 5587–5600, https://doi.org/10.5194/acp-13-5587-2013, https://doi.org/10.5194/acp-13-5587-2013, 2013
M. Frosch, M. Bilde, A. Nenes, A. P. Praplan, Z. Jurányi, J. Dommen, M. Gysel, E. Weingartner, and U. Baltensperger
Atmos. Chem. Phys., 13, 2283–2297, https://doi.org/10.5194/acp-13-2283-2013, https://doi.org/10.5194/acp-13-2283-2013, 2013
C. Chou, Z. A. Kanji, O. Stetzer, T. Tritscher, R. Chirico, M. F. Heringa, E. Weingartner, A. S. H. Prévôt, U. Baltensperger, and U. Lohmann
Atmos. Chem. Phys., 13, 761–772, https://doi.org/10.5194/acp-13-761-2013, https://doi.org/10.5194/acp-13-761-2013, 2013
A. Asmi, M. Collaud Coen, J. A. Ogren, E. Andrews, P. Sheridan, A. Jefferson, E. Weingartner, U. Baltensperger, N. Bukowiecki, H. Lihavainen, N. Kivekäs, E. Asmi, P. P. Aalto, M. Kulmala, A. Wiedensohler, W. Birmili, A. Hamed, C. O'Dowd, S. G Jennings, R. Weller, H. Flentje, A. M. Fjaeraa, M. Fiebig, C. L. Myhre, A. G. Hallar, E. Swietlicki, A. Kristensson, and P. Laj
Atmos. Chem. Phys., 13, 895–916, https://doi.org/10.5194/acp-13-895-2013, https://doi.org/10.5194/acp-13-895-2013, 2013
M. Collaud Coen, E. Andrews, A. Asmi, U. Baltensperger, N. Bukowiecki, D. Day, M. Fiebig, A. M. Fjaeraa, H. Flentje, A. Hyvärinen, A. Jefferson, S. G. Jennings, G. Kouvarakis, H. Lihavainen, C. Lund Myhre, W. C. Malm, N. Mihapopoulos, J. V. Molenar, C. O'Dowd, J. A. Ogren, B. A. Schichtel, P. Sheridan, A. Virkkula, E. Weingartner, R. Weller, and P. Laj
Atmos. Chem. Phys., 13, 869–894, https://doi.org/10.5194/acp-13-869-2013, https://doi.org/10.5194/acp-13-869-2013, 2013
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This study examines how sampling frequency influences the accuracy of low-cost particulate matter (PM) sensors. It finds that high sampling rates (15 s) are vital for detecting short pollution spikes like vehicle emissions, while lower rates (1 h) are enough for tracking long-term trends. Conducted in real-world outdoor conditions, the research offers practical guidance to balance energy use and data accuracy, supporting scalable, cost-effective air quality monitoring solutions.
Dongwook Kim, Pedro Campuzano-Jost, Hongyu Guo, Douglas A. Day, Da Yang, Suresh Dhaniyala, Leah Williams, Philip Croteau, John Jayne, Douglas Worsnop, Rainer Volkamer, and Jose L. Jimenez
Aerosol Research, 3, 371–404, https://doi.org/10.5194/ar-3-371-2025, https://doi.org/10.5194/ar-3-371-2025, 2025
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Quantitative real-time aerosol sampling on board aircraft platforms is challenging, especially at higher altitudes. Herein, we present comprehensive analyses of a new aircraft inlet system and tools for aerosol beam diagnostics for aerosol mass spectrometers (AMSs). The beam focusing of aerodynamic lenses and the thermal decomposition on the vaporizer were investigated. The new inlet system can be operated at higher altitudes while sampling aerosols over a broader size range than previous versions.
J. Tapio Elomaa, Krista Luoma, Sami D. Harni, Aki Virkkula, Hilkka Timonen, and Tuukka Petäjä
Aerosol Research, 3, 293–314, https://doi.org/10.5194/ar-3-293-2025, https://doi.org/10.5194/ar-3-293-2025, 2025
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Black carbon (BC) is a pollutant from combustion that affects the climate and is harmful to health. We tested four different small BC sensors with a reference in Helsinki. The sensors compared well with the reference. As a sensor network they were able to capture differences in BC. Changes in temperature (T) and relative humidity (RH) caused error in the measurements. To reduce the effects of T and RH on BC sensors, more robust boxes should be developed, or corrections should be applied.
Juho Karhu, Tommi Mikkonen, Joel Kuula, Aki Virkkula, Erkki Ikonen, Markku Vainio, Hilkka Timonen, and Tuomas Hieta
Aerosol Research, 3, 113–124, https://doi.org/10.5194/ar-3-113-2025, https://doi.org/10.5194/ar-3-113-2025, 2025
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We present a new photoacoustic instrument for simultaneous measurement of aerosol light absorption at multiple wavelengths. High performance is reached by using an optically read cantilever microphone, which allows for highly sensitive absorption measurements at a compact size. Performance in field conditions is demonstrated with black carbon monitoring at an air quality measurement station, where our results agree well with reference instruments deployed at the site.
Torben N. Rüther, David B. Rasche, and Hans-Joachim Schmid
Aerosol Research, 3, 65–79, https://doi.org/10.5194/ar-3-65-2025, https://doi.org/10.5194/ar-3-65-2025, 2025
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Aersols are important in many parts of industry and research. To learn more about aerosols, especially when they contain nanoparticles, the Centrifugal Differential Mobility Anlayser (CDMA) presented here allows us to measure the mobility-equivalent diameter and the Stokes equivalent diameter at the same time. The result is a 2D property distribution that provides deeper information about the entire particle collective than the isolated measurement principles.
Elisabeth Eckenberger, Andreas Mittereder, Nadine Gawlitta, Jürgen Schnelle-Kreis, Martin Sklorz, Dieter Brüggemann, Ralf Zimmermann, and Anke C. Nölscher
Aerosol Research, 3, 45–64, https://doi.org/10.5194/ar-3-45-2025, https://doi.org/10.5194/ar-3-45-2025, 2025
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We assessed the performance of four cascade impactors for collecting and analyzing organic markers in airborne ultrafine particles (UFPs) under lab and field conditions. The cutoff was influenced by the impactor design and aerosol mixture. Two key factors caused variations in mass concentrations: the evaporation of semi-volatile compounds and the "bounce-off" of larger particles and fragments. Our findings reveal the challenges of analyzing organic marker mass concentrations in airborne UFPs.
Joel Kuula, Juho Karhu, Tommi Mikkonen, Patrick Grahn, Aki Virkkula, Hilkka Timonen, Tuomas Hieta, and Markku Vainio
Aerosol Research, 3, 1–13, https://doi.org/10.5194/ar-3-1-2025, https://doi.org/10.5194/ar-3-1-2025, 2025
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We developed a new method to measure how particles absorb light as they change in size, which is critical for understanding their climate impact. Our approach uses a sensitive instrument that measures light absorption directly from particles in real time. By pairing this with a device that sorts particles by size, we achieved accurate size-resolved measurements. Our findings closely match theoretical models, offering a promising tool for future research into how particles influence climate.
Teemu Lepistö, Henna Lintusaari, Laura Salo, Ville Silvonen, Luis M. F. Barreira, Jussi Hoivala, Lassi Markkula, Jarkko V. Niemi, Jakub Ondracek, Kimmo Teinilä, Hanna E. Manninen, Sanna Saarikoski, Hilkka Timonen, Miikka Dal Maso, and Topi Rönkkö
Aerosol Research, 2, 271–289, https://doi.org/10.5194/ar-2-271-2024, https://doi.org/10.5194/ar-2-271-2024, 2024
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The performances of different particle lung-deposited surface area (LDSAal) measurement methods (Partector, ELPI+, SMPS/DMPS) were compared in ambient conditions. As LDSAal is a health-relevant metric and rather easy to utilise in air quality monitoring, it is crucial to know how the different methods agree, as there are clear differences in their operation. In all, a comparison of different methods can be complicated; still, the methods agree rather well in terms of local pollution (< 400 nm).
Tobias Hammer, Diana Roos, Barouch Giechaskiel, Anastasios Melas, and Konstantina Vasilatou
Aerosol Research, 2, 261–270, https://doi.org/10.5194/ar-2-261-2024, https://doi.org/10.5194/ar-2-261-2024, 2024
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More than 35 000 particle counters designed for the periodic technical inspection of diesel engine exhaust have been placed on the European market in the past few years. This work shows that the counting efficiency of these instruments depends on the properties of the test aerosols, even if all of them are combustion-based soot of similar mobility diameter. The aim of this study is to promote harmonisation of measurement procedures in the field of emission control.
Tobias Reinecke, Markus Leiminger, Andreas Klinger, and Markus Müller
Aerosol Research, 2, 225–233, https://doi.org/10.5194/ar-2-225-2024, https://doi.org/10.5194/ar-2-225-2024, 2024
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Condensed particulate polycyclic aromatic hydrocarbons (PAHs) are toxic compounds that may be detrimental to human health, even at low (sub-ng m-3) long-term exposure levels. The CHARON FUSION PTR-TOF 10k is capable of directly detecting PAHs on a chemical composition level at significantly lower mass concentrations. Herein, we report the time series of nine PAHs and identify three associated major sources and physicochemical processes for summertime aerosol in Innsbruck, Austria.
Peter J. Wlasits, Joonas Enroth, Joonas Vanhanen, Aki Pajunoja, Hinrich Grothe, Paul M. Winkler, and Dominik Stolzenburg
Aerosol Research, 2, 199–206, https://doi.org/10.5194/ar-2-199-2024, https://doi.org/10.5194/ar-2-199-2024, 2024
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We highlight that the composition dependence of the counting efficiency of condensation particle counters can be immensely reduced by choice of the working fluid. A butanol- and a propylene glycol-based version of the Airmodus A30 was calibrated using a set of four different seed particles. Our study shows that composition-dependent counting efficiencies almost vanish in the case of the propylene glycol-based CPC. Simulations of supersaturation profiles were used to explain the results.
Noredine Rekeb, Benjamin Sutter, Emmanuel Belut, Evelyne Géhin, and Raymond Olsen
Aerosol Research, 2, 183–198, https://doi.org/10.5194/ar-2-183-2024, https://doi.org/10.5194/ar-2-183-2024, 2024
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This study addresses challenges in semivolatile organic compound (SVOC) aerosol sampling. Despite its promise, experimental evaluations of the semivolatile aerosol dichotomous sampler (SADS) reveal issues with leakiness, assembly repeatability, and significant wall losses for particles larger than 2 µm. Findings suggest the need for improvements in airtightness, nozzle alignment, and assembly repeatability for the SADS to fulfil its theoretical potential in workplace exposure assessments.
Jochen Wagner, Alma Anna Ubele, Verena Schenzinger, and Axel Kreuter
Aerosol Research, 2, 153–159, https://doi.org/10.5194/ar-2-153-2024, https://doi.org/10.5194/ar-2-153-2024, 2024
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In this study, we explored how tiny particles in the air, known as aerosols, have changed over time in two mountainous areas in Austria and Switzerland from 2007 to 2023. By using special instruments that measure sunlight, we tracked these changes and found that the amount of aerosols has been decreasing in both locations. This is important because aerosols can affect both our health and the climate. This work is crucial for understanding air quality trends in mountain environments.
Melinda K. Schueneman, Douglas A. Day, Dongwook Kim, Pedro Campuzano-Jost, Seonsik Yun, Marla P. DeVault, Anna C. Ziola, Paul J. Ziemann, and Jose L. Jimenez
Aerosol Research, 2, 59–76, https://doi.org/10.5194/ar-2-59-2024, https://doi.org/10.5194/ar-2-59-2024, 2024
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Our study presents a novel method for quantifying mass spectrometer responses to molecular species in organic aerosols. Traditional calibrations often fail for complex mixtures like secondary organic aerosol. We combined chromatography with statistical component analysis to improve separation and quantification, achieving promising agreement with direct calibration. Our findings offer a new approach to assess aerosol composition, especially beneficial for complex mixtures.
Juan Fernandez de la Mora
Aerosol Research, 2, 21–30, https://doi.org/10.5194/ar-2-21-2024, https://doi.org/10.5194/ar-2-21-2024, 2024
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Differential mobility analyzers (DMAs) are widely used to measure aerosol size distributions. Here we argue that DMAs operating steadily at unusually high flow rates are not as complex as they appear and could be used with considerable advantage in many measurements currently carried out in conventional DMAs. We hope that the considerations presented will encourage DMA manufacturers to develop high-flow DMAs far more versatile yet comparable in complexity to today’s mainstream instruments.
Juha Sulo, Joonas Enroth, Aki Pajunoja, Joonas Vanhanen, Katrianne Lehtipalo, Tuukka Petäjä, and Markku Kulmala
Aerosol Research, 2, 13–20, https://doi.org/10.5194/ar-2-13-2024, https://doi.org/10.5194/ar-2-13-2024, 2024
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We present a novel version of an aerosol number size distribution instrument, showcasing its capability to measure particle number concentration and particle number size distribution between 1 and 12 nm. Our results show that the instrument agrees well with existing instrumentation and allows for both the accurate measurement of the smallest particles and overlap with more conventional aerosol number size distribution instruments.
Christof Asbach, Ana Maria Todea, and Heinz Kaminski
Aerosol Research, 2, 1–12, https://doi.org/10.5194/ar-2-1-2024, https://doi.org/10.5194/ar-2-1-2024, 2024
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The performance of the handheld Partector Pro has been evaluated against a reference mobility particle size spectrometer (MPSS) for 70 days at an urban background site. The number concentrations measured with the Partector Pro were in excellent and the number size distributions in reasonable agreement with the MPSS. The Partector Pro is thus a promising candidate for the widespread measurement of ultrafine particle concentrations as, for example, requested by WHO, at reasonable costs.
Davide Spolaor, Lidia Soldà, Gianni Formenton, Marco Roverso, Denis Badocco, Sara Bogialli, Fazel A. Monikh, and Andrea Tapparo
Aerosol Research, 1, 29–38, https://doi.org/10.5194/ar-1-29-2023, https://doi.org/10.5194/ar-1-29-2023, 2023
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In remote environments, atmospheric amines are involved in new particle formation processes. In anthropized areas, they readily react to form secondary aerosol. These particles may have relevant environmental (climate) and health effects. Together with instrumental techniques for the on-line determination of these compounds (PTR-MS, AMS), the development of simple methods for their accurate quantification represents a scientific target aimed at by obtaining more significant environmental data.
Patrick Weber, Oliver F. Bischof, Benedikt Fischer, Marcel Berg, Jannik Schmitt, Gerhard Steiner, Lothar Keck, Andreas Petzold, and Ulrich Bundke
Aerosol Research, 1, 1–12, https://doi.org/10.5194/ar-1-1-2023, https://doi.org/10.5194/ar-1-1-2023, 2023
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The aerosol number concentration is essential information for aerosol science. A condensation particle counter (CPC) can robustly provide this information. Butanol is often used as a working fluid in a CPC. We could show that dimethyl sulfoxide (DMSO) behaves equivalently to butanol in terms of the instrument`s counting efficiency, cut-off diameter and concentration linearity. We tested this on different aerosols, including sodium chloride, ammonium sulfate and fresh combustion soot.
Cited articles
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Cheng, Y.-H. and Tsai, C.-J.: Evaporation loss of ammonium nitrate particles during filter sampling, J. Aerosol Sci., 28, 1553–1567, https://doi.org/10.1016/S0021-8502(97)00033-5, 1997. a
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Collaud Coen, M., Weingartner, E., Apituley, A., Ceburnis, D., Fierz-Schmidhauser, R., Flentje, H., Henzing, J. S., Jennings, S. G., Moerman, M., Petzold, A., Schmid, O., and Baltensperger, U.: Minimizing light absorption measurement artifacts of the Aethalometer: evaluation of five correction algorithms, Atmos. Meas. Tech., 3, 457–474, https://doi.org/10.5194/amt-3-457-2010, 2010. a
Corbin, J. C., Moallemi, A., Liu, F., Gagné, S., Olfert, J. S., Smallwood, G. J., and Lobo, P.: Closure between Particulate Matter Concentrations Measured Ex Situ by Thermal–Optical Analysis and in Situ by the CPMA–Electrometer Reference Mass System, Aerosol Sci. Tech., 54, 1293–1309, https://doi.org/10.1080/02786826.2020.1788710, 2020. a, b
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Fuller, R., Landrigan, P. J., Balakrishnan, K., Bathan, G., Bose-O'Reilly, S., Brauer, M., Caravanos, J., Chiles, T., Cohen, A., Corra, L., Cropper, M., Ferraro, G., Hanna, J., Hanrahan, D., Hu, H., Hunter, D., Janata, G., Kupka, R., Lanphear, B., Lichtveld, M., Martin, K., Mustapha, A., Sanchez-Triana, E., Sandilya, K., Schaefli, L., Shaw, J., Seddon, J., Suk, W., Téllez-Rojo, M. M., and Yan, C.: Pollution and health: a progress update, The Lancet Planetary Health, 6, e535–e547, https://doi.org/10.1016/S2542-5196(22)00090-0, 2022. a
Haller, T., Rentenberger, C., Meyer, J. C., Felgitsch, L., Grothe, H., and Hitzenberger, R.: Structural changes of CAST soot during a thermal–optical measurement protocol, Atmos. Meas. Tech., 12, 3503–3519, https://doi.org/10.5194/amt-12-3503-2019, 2019. a
Hueglin, C., Scherrer, L., and Burtscher, H.: An Accurate, Continuously Adjustable Dilution System (1:10 to 1:104) for Submicron Aerosols, J. Aerosol Sci., 28, 1049–1055, https://doi.org/10.1016/S0021-8502(96)00485-5, 1997. a
Kalbermatter, D. M., Močnik, G., Drinovec, L., Visser, B., Röhrbein, J., Oscity, M., Weingartner, E., Hyvärinen, A.-P., and Vasilatou, K.: Comparing black-carbon- and aerosol-absorption-measuring instruments – a new system using lab-generated soot coated with controlled amounts of secondary organic matter, Atmos. Meas. Tech., 15, 561–572, https://doi.org/10.5194/amt-15-561-2022, 2022. a, b, c
Kelesidis, G. A. and Pratsinis, S. E.: Estimating the Internal and Surface Oxidation of Soot Agglomerates, Combustion and Flame, 209, 493–499, https://doi.org/10.1016/j.combustflame.2019.08.001, 2019a. a
Kelesidis, G. A. and Pratsinis, S. E.: Soot Light Absorption and Refractive Index during Agglomeration and Surface Growth, P. Combust. Inst., 37, 1177–1184, https://doi.org/10.1016/j.proci.2018.08.025, 2019b. a
Kelesidis, G. A., Goudeli, E., and Pratsinis, S. E.: Morphology and Mobility Diameter of Carbonaceous Aerosols during Agglomeration and Surface Growth, Carbon, 121, 527–535, https://doi.org/10.1016/j.carbon.2017.06.004, 2017. a
Kelesidis, G. A., Bruun, C. A., and Pratsinis, S. E.: The Impact of Organic Carbon on Soot Light Absorption, Carbon, 172, 742–749, https://doi.org/10.1016/j.carbon.2020.10.032, 2021. a
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Keller, A. and Burtscher, H.: A Continuous Photo-Oxidation Flow Reactor for a Defined Measurement of the SOA Formation Potential of Wood Burning Emissions, J. Aerosol Sci., 49, 9–20, https://doi.org/10.1016/j.jaerosci.2012.02.007, 2012. a
Keller, A. and Burtscher, H.: Characterizing Particulate Emissions from Wood Burning Appliances Including Secondary Organic Aerosol Formation Potential, J. Aerosol Sci., 114, 21–30, https://doi.org/10.1016/j.jaerosci.2017.08.014, 2017. a
Keller, A., Kalbermatter, D. M., Wolfer, K., Specht, P., Steigmeier, P., Resch, J., Kalberer, M., Hammer, T., and Vasilatou, K.: The Organic Coating Unit, an All-in-One System for Reproducible Generation of Secondary Organic Matter Aerosol, Aerosol Sci. Tech., 56, 947–958, https://doi.org/10.1080/02786826.2022.2110448, 2022. a, b
Laj, P., Bigi, A., Rose, C., Andrews, E., Lund Myhre, C., Collaud Coen, M., Lin, Y., Wiedensohler, A., Schulz, M., Ogren, J. A., Fiebig, M., Gliß, J., Mortier, A., Pandolfi, M., Petäja, T., Kim, S.-W., Aas, W., Putaud, J.-P., Mayol-Bracero, O., Keywood, M., Labrador, L., Aalto, P., Ahlberg, E., Alados Arboledas, L., Alastuey, A., Andrade, M., Artíñano, B., Ausmeel, S., Arsov, T., Asmi, E., Backman, J., Baltensperger, U., Bastian, S., Bath, O., Beukes, J. P., Brem, B. T., Bukowiecki, N., Conil, S., Couret, C., Day, D., Dayantolis, W., Degorska, A., Eleftheriadis, K., Fetfatzis, P., Favez, O., Flentje, H., Gini, M. I., Gregorič, A., Gysel-Beer, M., Hallar, A. G., Hand, J., Hoffer, A., Hueglin, C., Hooda, R. K., Hyvärinen, A., Kalapov, I., Kalivitis, N., Kasper-Giebl, A., Kim, J. E., Kouvarakis, G., Kranjc, I., Krejci, R., Kulmala, M., Labuschagne, C., Lee, H.-J., Lihavainen, H., Lin, N.-H., Löschau, G., Luoma, K., Marinoni, A., Martins Dos Santos, S., Meinhardt, F., Merkel, M., Metzger, J.-M., Mihalopoulos, N., Nguyen, N. A., Ondracek, J., Pérez, N., Perrone, M. R., Petit, J.-E., Picard, D., Pichon, J.-M., Pont, V., Prats, N., Prenni, A., Reisen, F., Romano, S., Sellegri, K., Sharma, S., Schauer, G., Sheridan, P., Sherman, J. P., Schütze, M., Schwerin, A., Sohmer, R., Sorribas, M., Steinbacher, M., Sun, J., Titos, G., Toczko, B., Tuch, T., Tulet, P., Tunved, P., Vakkari, V., Velarde, F., Velasquez, P., Villani, P., Vratolis, S., Wang, S.-H., Weinhold, K., Weller, R., Yela, M., Yus-Diez, J., Zdimal, V., Zieger, P., and Zikova, N.: A global analysis of climate-relevant aerosol properties retrieved from the network of Global Atmosphere Watch (GAW) near-surface observatories, Atmos. Meas. Tech., 13, 4353–4392, https://doi.org/10.5194/amt-13-4353-2020, 2020. a
Lamberg, H., Nuutinen, K., Tissari, J., Ruusunen, J., Yli-Pirilä, P., Sippula, O., Tapanainen, M., Jalava, P., Makkonen, U., Teinilä, K., Saarnio, K., Hillamo, R., Hirvonen, M.-R., and Jokiniemi, J.: Physicochemical Characterization of Fine Particles from Small-Scale Wood Combustion, Atmos. Environ., 45, 7635–7643, https://doi.org/10.1016/j.atmosenv.2011.02.072, 2011. a
Leni, Z., Ess, M. N., Keller, A., Allan, J. D., Hellén, H., Saarnio, K., Williams, K. R., Brown, A. S., Salathe, M., Baumlin, N., Vasilatou, K., and Geiser, M.: Role of Secondary Organic Matter on Soot Particle Toxicity in Reconstituted Human Bronchial Epithelia Exposed at the Air–Liquid Interface, Environ. Sci. Technol., 56, 17007–17017, https://doi.org/10.1021/acs.est.2c03692, 2022. a
Maricq, M. M.: Examining the Relationship Between Black Carbon and Soot in Flames and Engine Exhaust, Aerosol Sci. Tech., 48, 620–629, https://doi.org/10.1080/02786826.2014.904961, 2014. a
Müller, K., Spindler, G., Maenhaut, W., Hitzenberger, R., Wieprecht, W., Baltensperger, U., and ten Brink, H.: INTERCOMP2000, a campaign to assess the comparability of methods in use in Europe for measuring aerosol composition, Atmos. Environ., 38, 6459–6466, https://doi.org/10.1016/j.atmosenv.2004.08.031, 2004. a
Panteliadis, P., Hafkenscheid, T., Cary, B., Diapouli, E., Fischer, A., Favez, O., Quincey, P., Viana, M., Hitzenberger, R., Vecchi, R., Saraga, D., Sciare, J., Jaffrezo, J. L., John, A., Schwarz, J., Giannoni, M., Novak, J., Karanasiou, A., Fermo, P., and Maenhaut, W.: ECOC comparison exercise with identical thermal protocols after temperature offset correction – instrument diagnostics by in-depth evaluation of operational parameters, Atmos. Meas. Tech., 8, 779–792, https://doi.org/10.5194/amt-8-779-2015, 2015. a, b
Petzold, A., Ogren, J. A., Fiebig, M., Laj, P., Li, S.-M., Baltensperger, U., Holzer-Popp, T., Kinne, S., Pappalardo, G., Sugimoto, N., Wehrli, C., Wiedensohler, A., and Zhang, X.-Y.: Recommendations for reporting ”black carbon” measurements, Atmos. Chem. Phys., 13, 8365–8379, https://doi.org/10.5194/acp-13-8365-2013, 2013. a
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Resch, J., Wolfer, K., Barth, A., and Kalberer, M.: Technical note: Effects of storage conditions on molecular-level composition of organic aerosol particles, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2023-840, 2023. a
Rigler, M., Drinovec, L., Lavrič, G., Vlachou, A., Prévôt, A. S. H., Jaffrezo, J. L., Stavroulas, I., Sciare, J., Burger, J., Kranjc, I., Turšič, J., Hansen, A. D. A., and Močnik, G.: The new instrument using a TC–BC (total carbon–black carbon) method for the online measurement of carbonaceous aerosols, Atmos. Meas. Tech., 13, 4333–4351, https://doi.org/10.5194/amt-13-4333-2020, 2020. a
Schmid, H., Laskus, L., Jürgen Abraham, H., Baltensperger, U., Lavanchy, V., Bizjak, M., Burba, P., Cachier, H., Crow, D., Chow, J., Gnauk, T., Even, A., ten Brink, H. M., Giesen, K.-P., Hitzenberger, R., Hueglin, C., Maenhaut, W., Pio, C., Carvalho, A., Putaud, J.-P., Toom-Sauntry, D., and Puxbaum, H.: Results of the “Carbon Conference” International Aerosol Carbon Round Robin Test Stage I, Atmos. Environ., 35, 2111–2121, https://doi.org/10.1016/S1352-2310(00)00493-3, 2001. a
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Subramanian, R., Khlystov, A. Y., Cabada, J. C., and Robinson, A. L.: Positive and Negative Artifacts in Particulate Organic Carbon Measurements with Denuded and Undenuded Sampler Configurations Special Issue of Aerosol Science and Technology on Findings from the Fine Particulate Matter Supersites Program, Aerosol Sci. Tech., 38, 27–48, https://doi.org/10.1080/02786820390229354, 2004. a
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Short summary
Ultra-fine airborne carbon particles affect climate and health, but measuring them poses many challenges. This paper presents an innovative device called FATCAT that enables unattended and continuous measurement of these particles over extended periods of time. We detail FATCAT's performance, demonstrate its compatibility with established methods and introduce the unique feature of fast thermograms, a novel approach to further understand real-world samples containing carbonaceous particles.
Ultra-fine airborne carbon particles affect climate and health, but measuring them poses many...
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