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The second ACTRIS inter-comparison (2016) for Aerosol Chemical Speciation Monitors (ACSM): Calibration protocols and instrument performance evaluations

Research output: Contribution to journalArticle

E. Freney, Y. Zhang, P. Croteau, T. Amodeo, L. Williams, F. Truong, J.-E. Petit, J. Sciare, R. Sarda-Esteve, N. Bonnaire, T. Arumae, M. Aurela, A. Bougiatioti, N. Mihalopoulos, E. Coz, B. Artinano, V. Crenn, T. Elste, L. Heikkinen, L. Poulain & 19 more A. Wiedensohler, H. Herrmann, M. Priestman, A. Alastuey, I. Stavroulas, A. Tobler, J. Vasilescu, N. Zanca, M. Canagaratna, C. Carbone, H. Flentje, D. Green, M. Maasikmets, L. Marmureanu, M.C. Minguillon, A.S.H. Prevot, V. Gros, J. Jayne, O. Favez

Original languageEnglish
Pages (from-to)830-842
Number of pages13
Issue number7
Early online date21 May 2019
Publication statusPublished - 21 May 2019

Bibliographical note

Cited By :1 Export Date: 1 July 2019 CODEN: ASTYD Correspondence Address: Freney, E.; Laboratoire de meteorologie physique, UMR 6016, CNRS/UCA, 4 avenue Blaise Pascal, France; email: Funding details: Commissariat à l'Énergie Atomique et aux Énergies Alternatives Funding details: Bundesamt für Umwelt Funding details: CGL2017-90884-REDT, CGL2017-85344-R Funding details: 654109 Funding details: Ministry of Economy, Trade and Industry Funding details: Physicians' Services Incorporated Foundation Funding details: American College of Sports Medicine Funding details: DE-SC0017041 Funding details: Y2018/EMT-5177 Funding details: European Cooperation in Science and Technology, CA16109 Funding details: Centre National de la Recherche Scientifique Funding text 1: We would like to say a special thanks to JL Jimenez for fruitful discussions on the m /z 44 artifact correction as a function of NO3_MF. This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 654109. The US Department of Energy Small Business Innovative Research program (award number DE-SC0017041) provided support for development of ACSM calibration procedures. CNRS, CEA, and INERIS are acknowledged for financial support of the ACMCC. The intercomparison campaign and the following data treatment have been conducted in collaboration with the French reference laboratory for air quality monitoring (LCSQA), funded by the French Ministry of Environment. COST action CA16109 Chemical On-Line cOmpoSition and Source Apportionment of fine aerosoLs COLOSSAL grant is gratefully acknowledged for the support of data workshops. M.C. Minguill?n acknowledges the Ram?n y Cajal fellowship awarded by the Spanish Ministry of Economy, Industry and Competitiveness. The CIEMAT participation has been partially funded by MINECO/AEI/FEDER, UE (CGL2017-85344-R and CGL2017-90884-REDT) and TIGAS-CM (Y2018/EMT-5177) Project. PSI is grateful for financial support by the Federal Office for the Environment in Switzerland. References: Allan, J.D., Delia, A.E., Coe, H., Bower, K.N., Alfarra, M.R., Jimenez, J.L., Middlebrook, A.M., Canagaratna, M.R., A generalised method for the extraction of chemically resolved mass spectra from aerodyne aerosol mass spectrometer data (2004) J. Aerosol Sci., 35 (7), pp. 909-922; Bahreini, R., Ervens, B., Middlebrook, A., Warneke, C., Gouw, J.D., DeCarlo, P., Jimenez, J., Ryerson, T., Organic aerosol formation in urban and Industrial plumes near Houston and Dallas, Texas (2009) J. Geophys. Res. Atmos., 114. , D00F16; Bessagnet, B., Pirovano, G., Mircea, M., Cuvelier, C., Aulinger, A., Calori, G., Ciarelli, G., Tsyro, S., Presentation of the EURODELTA III intercomparison exercise–Evaluation of the chemistry transport models' performance on criteria pollutants and joint analysis with meteorology (2016) Atmos. Chem. Phys., 16 (19), pp. 12667-12701; Budisulistiorini, S.H., Canagaratna, M.R., Croteau, P.L., Baumann, K., Edgerton, E.S., Kollman, M.S., Ng, N.L., Knipping, E.M., Intercomparison of an aerosol chemical speciation monitor (ACSM) with ambient fine aerosol measurements in downtown Atlanta, Georgia (2014) Atmos. Meas. Tech., 7 (7), pp. 1929-1941; Canagaratna, M.R., Jayne, J.T., Jimenez, J.L., Allan, J.D., Alfarra, M.R., Zhang, Q., Onasch, T.B., Middlebrook, A., Chemical and microphysical characterization of ambient aerosols with the aerodyne aerosol mass spectrometer (2007) Mass Spectrom. Rev., 26 (2), pp. 185-222; Cavalli, F., Viana, M., Yttri, K.E., Genberg, J., Putaud, J.-P., Toward a standardised thermal-optical protocol for measuring atmospheric organic and elemental carbon: The EUSAAR protocol (2010) Atmos. Meas. Tech., 3 (1), pp. 79-89; Ciarelli, G., Aksoyoglu, S., El Haddad, I., Bruns, E.A., Crippa, M., Poulain, L., Äijälä, M., O’Dowd, C., Modelling winter organic aerosol at the European scale with CAMx: Evaluation and source apportionment with a VBS parameterization based on novel wood burning smog chamber experiments (2017) Atmos. Chem. Phys., 17 (12), pp. 7653-7669; Crenn, V., Sciare, J., Croteau, P.L., Verlhac, S., Fröhlich, R., Belis, C.A., Aas, W., Artiñano, B., ACTRIS ACSM intercomparison–Part 1: Reproducibility of concentration and fragment results from 13 individual quadrupole aerosol chemical speciation monitors (Q-ACSM) and consistency with co-located instruments (2015) Atmos. Meas. Tech., 8 (12), pp. 5063-5087; Fröhlich, R., Cubison, M.J., Slowik, J.G., Bukowiecki, N., Canonaco, F., Croteau, P.L., Gysel, M., Jayne, J.T., Fourteen months of on-line measurements of the non-refractory submicron aerosol at the Jungfraujoch (3580 m a.s.l.)–Chemical composition, origins and organic aerosol sources (2015) Atmos. Chem. Phys., 15 (19), pp. 11373-11398; Fröhlich, R., Crenn, V., Setyan, A., Belis, C.A., Canonaco, F., Favez, O., Riffault, V., Aijälä, M., ACTRIS ACSM intercomparison–Part 2: Intercomparison of ME-2 organic source apportionment results from 15 individual, co-located aerosol mass spectrometers (2015) Atmos. Meas. Tech., 8 (6), pp. 2555-2576; Fröhlich, R., Cubison, M.J., Slowik, J.G., Bukowiecki, N., Prévôt, A.S.H., Baltensperger, U., Schneider, J., Rohner, U., The ToF-ACSM: A portable aerosol chemical speciation monitor with TOFMS detection (2013) Atmos. Meas. Tech., 6 (11), pp. 3225-3241; Hari, P., Kulmala, M., Station for measuring ecosystem-atmosphere relations (SMEAR II) (2005) Boreal Environ. Res., 10, pp. 315-322; Hu, W., Campuzano-Jost, P., Day, D.A., Croteau, P.L., Canagaratna, M.R., Jayne, J.T., Worsnop, D.R., Jimenez, J.L., Evaluation of the new capture vaporizer for aerosol mass spectrometers (AMS) through field studies of inorganic species (2017) Aerosol Sci. Technol., 51 (6), pp. 735-754; (1998) Accuracy (Trueness and Precision) of Measurement Methods and Results – Part 5: Alternative Methods for the Determination of the Precision of a Standard Measurement Method, , Geneva: International Organization for Standardization; Kiendler‐Scharr, A., Mensah, A.A., Friese, E., Topping, D., Nemitz, E., Prevot, A.S.H., Äijälä, M., Canagaratna, R.R., Ubiquity of organic nitrates from nighttime chemistry in the European submicron aerosol (2016) Geophys. Res. Lett., 43, pp. 7735-7744; Liu, P.S.K., Deng, R., Smith, K.A., Williams, L.R., Jayne, J.T., Canagaratna, M.R., Moore, K., Deshler, T., Transmission efficiency of an aerodynamic focusing lens system: Comparison of model calculations and laboratory measurements for the aerodyne aerosol mass spectrometer (2007) Aerosol Sci. Technol., 41 (8), pp. 721-733; Middlebrook, A.M., Bahreini, R., Jimenez, J.L., Canagaratna, M.R., Evaluation of composition-dependent collection efficiencies for the aerodyne aerosol mass spectrometer using field data (2012) Aerosol Sci. Technol., 46 (3), pp. 258-271; Ng, N.L., Canagaratna, M.R., Zhang, Q., Jimenez, J.L., Tian, J., Ulbrich, I.M., Kroll, J.H., Bahreini, R., Organic aerosol components observed in Northern hemispheric datasets from aerosol mass spectrometry (2010) Atmos. Chem. Phys., 10 (10), pp. 4625-4641; Ng, N.L., Herndon, S.C., Trimborn, A., Canagaratna, M.R., Croteau, P.L., Onasch, T.B., Sueper, D., Sun, Y.L., An aerosol chemical speciation monitor (ACSM) for routine monitoring of the composition and mass concentrations of ambient aerosol (2011) Aerosol Si. Technol., 45 (7), pp. 780-794; O’Connor, T., Jennings, S., O’Dowd, C., Highlights of fifty years of atmospheric aerosol research at mace head (2008) Atmos. Res., 90, pp. 338-355; Olfert, J., Collings, N., New method for particle mass classification—The Couette centrifugal particle mass analyzer (2005) J. Aerosol Sci., 36 (11), pp. 1338-1352; Petit, J.-E., Favez, O., Albinet, A., Canonaco, F., A user-friendly tool for comprehensive evaluation of the geographical origins of atmospheric pollution: Wind and trajectory analyses (2017) Environ. Model. Softw., 88, pp. 183-187; Petit, J.-E., Favez, O., Sciare, J., Crenn, V., Sarda-Estève, R., Bonnaire, N., Močnik, G., Leoz-Garziandia, E., Two years of near real-time chemical composition of submicron aerosols in the region of Paris using an aerosol chemical speciation monitor (ACSM) and a multi-wavelength Aethalometer (2015) Atmos. Chem. Phys., 15 (6), pp. 2985-3005; Pieber, S.M., El Haddad, I., Slowik, J.G., Canagaratna, M.R., Jayne, J.T., Platt, S.M., Bozzetti, C., Vlachou, A., Inorganic salt interference on CO2+ in aerodyne AMS and ACSM organic aerosol composition studies (2016) Environ. Sci. Technol., 50 (19), pp. 10494-10503; Ripoll, A., Minguillón, M.C., Pey, J., Jimenez, J.L., Day, D.A., Sosedova, Y., Canonaco, F., Alastuey, A., Long-term real-time chemical characterization of submicron aerosols at Montsec (Southern Pyrenees, 1570 m a.s.l.) (2015) Atmos. Chem. Phys., 15 (6), pp. 2935-2951; Sciare, J., d’Argouges, O., Sarda‐Estève, R., Gaimoz, C., Dolgorouky, C., Bonnaire, N., Favez, O., Gros, V., Large contribution of water‐insoluble secondary organic aerosols in the region of Paris (France) during wintertime (2011) J. Geophys. Res. Atmos., 116 (D22). , D22203. :, 2011; Stein, A.F., Draxler, R.R., Rolph, G.D., Stunder, B.J.B., Cohen, M.D., Ngan, F., NOAA’s HYSPLIT atmospheric transport and dispersion modeling system (2015) Bull. Amer. Meteorol. Soc., 96 (12), pp. 2059-2077; Xu, W., Croteau, P.L., Williams, L., Canagaratna, M.R., Onasch, T., Cross, E., Zhang, X., Jayne, J.T., Laboratory characterization of an aerosol chemical speciation monitor with PM2. 5 measurement capability (2017) Aerosol Sci. Technol., 51 (1), pp. 69-83; Xu, W., Lambe, A., Silva, P., Hu, W., Onasch, T., Williams, L., Croteau, P., Renbaum-Wolff, L., Laboratory evaluation of species-dependent relative ionization efficiencies in the aerodyne aerosol mass spectrometer (2018) Aerosol. Sci. Technol., 52, pp. 626-641; Zhang, Q.J.L., Jimenez, M.R., Canagaratna, J.D., Allan, H., Coe, I., Ulbrich, M.R., Alfarra, A., Sun, Ubiquity and dominance of oxygenated species in organic aerosols in anthropogenically-influenced northern Hemisphere midlatitudes, 2007 (2007) Geophys. Res. Lett., 34; Zhang, Y., Tang, L., Croteau, P.L., Favez, O., Sun, Y., Canagaratna, M.R., Wang, Z., Zhang, H., Field characterization of the PM2.5 aerosol chemical speciation monitor: Insights into the composition, sources, and processes of fine particles in Eastern China (2017) Atmos. Chem. Phys., 17 (23), pp. 14501-14517


King's Authors


This work describes results obtained from the 2016 Aerosol Chemical Speciation Monitor (ACSM) intercomparison exercise performed at the Aerosol Chemical Monitor Calibration Center (ACMCC, France). Fifteen quadrupole ACSMs (Q_ACSM) from the European Research Infrastructure for the observation of Aerosols, Clouds and Trace gases (ACTRIS) network were calibrated using a new procedure that acquires calibration data under the same operating conditions as those used during sampling and hence gets information representative of instrument performance. The new calibration procedure notably resulted in a decrease in the spread of the measured sulfate mass concentrations, improving the reproducibility of inorganic species measurements between ACSMs as well as the consistency with co-located independent instruments. Tested calibration procedures also allowed for the investigation of artifacts in individual instruments, such as the overestimation of m/z 44 from organic aerosol. This effect was quantified by the m/z (mass-to-charge) 44 to nitrate ratio measured during ammonium nitrate calibrations, with values ranging from 0.03 to 0.26, showing that it can be significant for some instruments. The fragmentation table correction previously proposed to account for this artifact was applied to the measurements acquired during this study. For some instruments (those with high artifacts), this fragmentation table adjustment led to an “overcorrection” of the f44 (m/z 44/Org) signal. This correction based on measurements made with pure NH4NO3, assumes that the magnitude of the artifact is independent of chemical composition. Using data acquired at different NH4NO3 mixing ratios (from solutions of NH4NO3 and (NH4)2SO4) we observe that the magnitude of the artifact varies as a function of composition. Here we applied an updated correction, dependent on the ambient NO3 mass fraction, which resulted in an improved agreement in organic signal among instruments. This work illustrates the benefits of integrating new calibration procedures and artifact corrections, but also highlights the benefits of these intercomparison exercises to continue to improve our knowledge of how these instruments operate, and assist us in interpreting atmospheric chemistry. © 2019, © 2019 Author(s). Published with license by Taylor & Francis Group, LLC.

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