Articles | Volume 13, issue 10
https://doi.org/10.5194/amt-13-5369-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-13-5369-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
09 Oct 2020
Research article |
| 09 Oct 2020
| 09 Oct 2020
Quantification of toxic metals using machine learning techniques and spark emission spectroscopy
Seyyed Ali Davari
CORRESPONDING AUTHOR
Air Quality Research Center (AQRC), University of California, Davis, 95616, Davis, USA
Anthony S. Wexler
Air Quality Research Center (AQRC), University of California, Davis, 95616, Davis, USA
Department of Mechanical and Aerospace Engineering, Civil and Environmental Engineering, University of California, Davis, 95616, Davis, USA
Land, Air and Water Resources, University of California, Davis, 95616, Davis, USA
Related authors
No articles found.
Nagendra Raparthi, Anthony S. Wexler, and Ann M. Dillner
Atmos. Meas. Tech., 18, 603–618, https://doi.org/10.5194/amt-18-603-2025, https://doi.org/10.5194/amt-18-603-2025, 2025
Short summary
Short summary
Quantifying the composition-dependent hygroscopicity of aerosol particles is essential for advancing our understanding of atmospheric processes. Existing methods do not integrate chemical composition with hygroscopicity. We developed a novel method to assess the water uptake of particles sampled on aerosol filters at relative humidity levels up to 97 % and link it with their composition. This approach allows for the separation of total water uptake into inorganic and organic components.
Bruno Debus, Andrew T. Weakley, Satoshi Takahama, Kathryn M. George, Anahita Amiri-Farahani, Bret Schichtel, Scott Copeland, Anthony S. Wexler, and Ann M. Dillner
Atmos. Meas. Tech., 15, 2685–2702, https://doi.org/10.5194/amt-15-2685-2022, https://doi.org/10.5194/amt-15-2685-2022, 2022
Short summary
Short summary
In the US, routine particulate matter composition is measured on samples collected on three types of filter media and analyzed using several techniques. We propose an alternate approach that uses one analytical technique, Fourier transform-infrared spectroscopy (FT-IR), and one filter type to measure the chemical composition of particulate matter in a major US monitoring network. This method could be used to add low-cost sites to the network, fill-in missing data, or for quality control.
Patrick Obin Sturm and Anthony S. Wexler
Geosci. Model Dev., 15, 3417–3431, https://doi.org/10.5194/gmd-15-3417-2022, https://doi.org/10.5194/gmd-15-3417-2022, 2022
Short summary
Short summary
Large air quality and climate models require vast amounts of computational power. Machine learning tools like neural networks can be used to make these models more efficient, with the downside that their results might not make physical sense or be easy to interpret. This work develops a physically interpretable neural network that obeys scientific laws like conservation of mass and models atmospheric composition more accurately than a traditional neural network.
Christopher D. Wallis, Mason D. Leandro, Patrick Y. Chuang, and Anthony S. Wexler
Atmos. Meas. Tech., 15, 2547–2556, https://doi.org/10.5194/amt-15-2547-2022, https://doi.org/10.5194/amt-15-2547-2022, 2022
Short summary
Short summary
Measuring emissions from stacks requires techniques to address a broad range of conditions and measurement challenges. Here we describe an instrument package held by a crane above a stack to characterize both wet droplet and dried aerosol emissions from cooling tower spray drift in situ. The instrument package characterizes the velocity, size distribution, and concentration of the wet droplet emissions and the mass concentration and elemental composition of the dried PM2.5 and PM10 emissions.
Patrick Obin Sturm and Anthony S. Wexler
Geosci. Model Dev., 13, 4435–4442, https://doi.org/10.5194/gmd-13-4435-2020, https://doi.org/10.5194/gmd-13-4435-2020, 2020
Short summary
Short summary
Large air quality and climate models calculate different physical and chemical phenomena in separate operators within the overall model, some of which are computationally intensive. Machine learning tools can memorize the behavior of these operators and replace them, but the replacements must still obey physical laws, like conservation principles. This work derives a mathematical framework for machine learning replacements that conserves properties, such as mass or energy, to machine precision.
Satoshi Takahama, Ann M. Dillner, Andrew T. Weakley, Matteo Reggente, Charlotte Bürki, Mária Lbadaoui-Darvas, Bruno Debus, Adele Kuzmiakova, and Anthony S. Wexler
Atmos. Meas. Tech., 12, 525–567, https://doi.org/10.5194/amt-12-525-2019, https://doi.org/10.5194/amt-12-525-2019, 2019
Short summary
Short summary
Mid-infrared spectra of particulate matter (PM) samples are complex but chemically informative and present an opportunity for cost-effective measurement of PM provided that quantitative calibration models can be built. We review an emerging strategy for building statistical calibration models using collocated measurements, interpreting the physical bases for such models and evaluating the suitability of existing calibration models to new samples.
Christopher D. Cappa, Shantanu H. Jathar, Michael J. Kleeman, Kenneth S. Docherty, Jose L. Jimenez, John H. Seinfeld, and Anthony S. Wexler
Atmos. Chem. Phys., 16, 3041–3059, https://doi.org/10.5194/acp-16-3041-2016, https://doi.org/10.5194/acp-16-3041-2016, 2016
Short summary
Short summary
Losses of vapors to walls of chambers can negatively bias SOA formation measurements, consequently leading to low predicted SOA concentrations in air quality models. Here, we show that accounting for such vapor losses leads to substantial increases in the predicted amount of SOA formed from VOCs and to notable increases in the O : C atomic ratio in two US regions. Comparison with a variety of observational data suggests generally improved model performance when vapor wall losses are accounted for.
S. H. Jathar, C. D. Cappa, A. S. Wexler, J. H. Seinfeld, and M. J. Kleeman
Atmos. Chem. Phys., 16, 2309–2322, https://doi.org/10.5194/acp-16-2309-2016, https://doi.org/10.5194/acp-16-2309-2016, 2016
Short summary
Short summary
Multi-generational chemistry schemes applied in regional models do not increase secondary organic aerosol (SOA) mass production relative to traditional "two-product" schemes when both models are fitted to the same chamber data. The multi-generational chemistry schemes do change the predicted composition of SOA and the source attribution of SOA.
C. R. Hoyle, C. Fuchs, E. Järvinen, H. Saathoff, A. Dias, I. El Haddad, M. Gysel, S. C. Coburn, J. Tröstl, A.-K. Bernhammer, F. Bianchi, M. Breitenlechner, J. C. Corbin, J. Craven, N. M. Donahue, J. Duplissy, S. Ehrhart, C. Frege, H. Gordon, N. Höppel, M. Heinritzi, T. B. Kristensen, U. Molteni, L. Nichman, T. Pinterich, A. S. H. Prévôt, M. Simon, J. G. Slowik, G. Steiner, A. Tomé, A. L. Vogel, R. Volkamer, A. C. Wagner, R. Wagner, A. S. Wexler, C. Williamson, P. M. Winkler, C. Yan, A. Amorim, J. Dommen, J. Curtius, M. W. Gallagher, R. C. Flagan, A. Hansel, J. Kirkby, M. Kulmala, O. Möhler, F. Stratmann, D. R. Worsnop, and U. Baltensperger
Atmos. Chem. Phys., 16, 1693–1712, https://doi.org/10.5194/acp-16-1693-2016, https://doi.org/10.5194/acp-16-1693-2016, 2016
Short summary
Short summary
A significant portion of sulphate, an important constituent of atmospheric aerosols, is formed via the aqueous phase oxidation of sulphur dioxide by ozone. The rate of this reaction has previously only been measured over a relatively small temperature range. Here, we use the state of the art CLOUD chamber at CERN to perform the first measurements of this reaction rate in super-cooled droplets, confirming that the existing extrapolation of the reaction rate to sub-zero temperatures is accurate.
S. H. Jathar, C. D. Cappa, A. S. Wexler, J. H. Seinfeld, and M. J. Kleeman
Geosci. Model Dev., 8, 2553–2567, https://doi.org/10.5194/gmd-8-2553-2015, https://doi.org/10.5194/gmd-8-2553-2015, 2015
Short summary
Short summary
Multi-generational oxidation of organic vapors can significantly alter the mass, chemical composition and properties of secondary organic aerosol (SOA). Here, we implement a semi-explicit, constrained multi-generational oxidation model of Cappa and Wilson (2012) in a 3-D air quality model. When compared with results from a current-generation SOA model, we predict similar mass concentrations of SOA but a different chemical composition. O:C ratios of SOA are in line with those measured globally.
J. G. Charrier, N. K. Richards-Henderson, K. J. Bein, A. S. McFall, A. S. Wexler, and C. Anastasio
Atmos. Chem. Phys., 15, 2327–2340, https://doi.org/10.5194/acp-15-2327-2015, https://doi.org/10.5194/acp-15-2327-2015, 2015
Short summary
Short summary
We measured the oxidative potential of airborne particles – a property that has been linked to health problems caused by particles – from different emission source mixtures in Fresno, CA. Copper was responsible for the majority of the oxidative potential (as measured by the DTT assay), followed by unknown species (likely organics) and manganese. Sources of copper-rich particles, including vehicles, had higher oxidative potentials.
Related subject area
Subject: Aerosols | Technique: Laboratory Measurement | Topic: Instruments and Platforms
A novel methodology for assessing the hygroscopicity of aerosol filter samples
Direct calibration using atmospheric particles and performance evaluation of Particle Size Magnifier (PSM) 2.0 for sub-10 nm particle measurements
Merging holography, fluorescence, and machine learning for in situ continuous characterization and classification of airborne microplastics
Rapid quantitative analysis of semi-volatile organic compounds in indoor surface film using direct analysis in real time mass spectrometry: a case study on phthalates
Determining optimal sampling conditions in the TSI Nanometer Aerosol Sampler 3089
Exploring non-soluble particles in hailstones through innovative confocal laser and scanning electron microscopy techniques
A comprehensive evaluation of enhanced temperature influence on gas and aerosol chemistry in the lamp-enclosed oxidation flow reactor (OFR) system
An oxidation flow reactor for simulating and accelerating secondary aerosol formation in aerosol liquid water and cloud droplets
Surface equilibrium vapor pressure of organic nanoparticles measured from the dynamic-aerosol-size electrical mobility spectrometer
Quality assurance and quality control of atmospheric organosulfates measured using hydrophilic interaction liquid chromatography (HILIC)
Micro-PINGUIN: microtiter-plate-based instrument for ice nucleation detection in gallium with an infrared camera
Characterization of the Vaporization Inlet for Aerosols (VIA) for online measurements of particulate highly oxygenated organic molecules (HOMs)
Development and characterization of a high-performance single-particle aerosol mass spectrometer (HP-SPAMS)
Characterization of the planar differential mobility analyzer (DMA P5): resolving power, transmission efficiency and its application to atmospheric relevant cluster measurements
Airborne bacteria viability and air quality: a protocol to quantitatively investigate the possible correlation by an atmospheric simulation chamber
The viscosity and surface tension of supercooled levitated droplets determined by excitation of shape oscillations
Acoustic levitation of pollen and visualisation of hygroscopic behaviour
Concept, absolute calibration, and validation of a new benchtop laser imaging polar nephelometer
A new smog chamber system for atmospheric multiphase chemistry study: design and characterization
Stability assessment of organic sulfur and organosulfate compounds in filter samples for quantification by Fourier- transform infrared spectroscopy
Design and evaluation of a thermal precipitation aerosol electrometer (TPAE)
An automated online field instrument to quantify the oxidative potential of aerosol particles via ascorbic acid oxidation
Online measurement of highly oxygenated compounds from organic aerosol
The AERosol and TRACe gas Collector (AERTRACC): an online-measurement-controlled sampler for source-resolved emission analysis
Quantitative chemical assay of nanogram-level particulate matter using aerosol mass spectrometry: characterization of particles collected from uncrewed atmospheric measurement platforms
An optimised organic carbon ∕ elemental carbon (OC ∕ EC) fraction separation method for radiocarbon source apportionment applied to low-loaded Arctic aerosol filters
Investigating the dependence of mineral dust depolarization on complex refractive index and size with a laboratory polarimeter at 180.0° lidar backscattering angle
Evaluation of a low-cost dryer for a low-cost optical particle counter
Effects of temperature and salinity on bubble-bursting aerosol formation simulated with a bubble-generating chamber
A new hot-stage microscopy technique for measuring temperature-dependent viscosities of aerosol particles and its application to farnesene secondary organic aerosol
Characterization of a modified printed optical particle spectrometer for high-frequency and high-precision laboratory and field measurements
Design and fabrication of an electrostatic precipitator for infrared spectroscopy
Combined application of online FIGAERO-CIMS and offline LC-Orbitrap mass spectrometry (MS) to characterize the chemical composition of secondary organic aerosol (SOA) in smog chamber studies
High-frequency gaseous and particulate chemical characterization using extractive electrospray ionization mass spectrometry (Dual-Phase-EESI-TOF)
An evaluation of the heat test for the ice-nucleating ability of minerals and biological material
Development, characterization, and application of an improved online reactive oxygen species analyzer based on the Monitor for AeRosols and Gases in ambient Air (MARGA)
Characterization of soot produced by the mini inverted soot generator with an atmospheric simulation chamber
LED-based solar simulator to study photochemistry over a wide temperature range in the large simulation chamber AIDA
Laboratory evaluation of the scattering matrix of ragweed, ash, birch and pine pollen towards pollen classification
Cloud condensation nuclei (CCN) activity analysis of low-hygroscopicity aerosols using the aerodynamic aerosol classifier (AAC)
Characterisation of the Manchester Aerosol Chamber facility
A study on the fragmentation of sulfuric acid and dimethylamine clusters inside an atmospheric pressure interface time-of-flight mass spectrometer
A semi-automated instrument for cellular oxidative potential evaluation (SCOPE) of water-soluble extracts of ambient particulate matter
Utilizing an electrical low-pressure impactor to indirectly probe water uptake via particle bounce measurements
Calibration and evaluation of a broad supersaturation scanning (BS2) cloud condensation nuclei counter for rapid measurement of particle hygroscopicity and cloud condensation nuclei (CCN) activity
Correcting bias in log-linear instrument calibrations in the context of chemical ionization mass spectrometry
Effects of aerosol size and coating thickness on the molecular detection using extractive electrospray ionization
The nano-scanning electrical mobility spectrometer (nSEMS) and its application to size distribution measurements of 1.5–25 nm particles
A dual-droplet approach for measuring the hygroscopicity of aqueous aerosol
A method for liquid spectrophotometric measurement of total and water-soluble iron and copper in ambient aerosols
Nagendra Raparthi, Anthony S. Wexler, and Ann M. Dillner
Atmos. Meas. Tech., 18, 603–618, https://doi.org/10.5194/amt-18-603-2025, https://doi.org/10.5194/amt-18-603-2025, 2025
Short summary
Short summary
Quantifying the composition-dependent hygroscopicity of aerosol particles is essential for advancing our understanding of atmospheric processes. Existing methods do not integrate chemical composition with hygroscopicity. We developed a novel method to assess the water uptake of particles sampled on aerosol filters at relative humidity levels up to 97 % and link it with their composition. This approach allows for the separation of total water uptake into inorganic and organic components.
Yiliang Liu, Arttu Yli-Kujala, Fabian Schmidt-Ott, Sebastian Holm, Lauri Ahonen, Tommy Chan, Joonas Enroth, Joonas Vanhanen, Runlong Cai, Tuukka Petäjä, Markku Kulmala, Yang Chen, and Juha Kangasluoma
Atmos. Meas. Tech., 18, 431–442, https://doi.org/10.5194/amt-18-431-2025, https://doi.org/10.5194/amt-18-431-2025, 2025
Short summary
Short summary
Accurate measurement of nanoparticles is crucial for understanding their impact on new particle formation and climate change. In this study, we calibrated the Particle Size Magnifier version 2.0 (PSM 2.0), using both laboratory-generated and atmospheric particles. Some differences were observed in the calibration results, with direct calibration using atmospheric particles enhancing measurement accuracy.
Nicholas D. Beres, Julia Burkart, Elias Graf, Yanick Zeder, Lea Ann Dailey, and Bernadett Weinzierl
Atmos. Meas. Tech., 17, 6945–6964, https://doi.org/10.5194/amt-17-6945-2024, https://doi.org/10.5194/amt-17-6945-2024, 2024
Short summary
Short summary
We tested a method to identify airborne microplastics (MPs), merging imaging, fluorescence, and machine learning of single particles. We examined whether combining imaging and fluorescence data enhances classification accuracy compared to using each method separately and tested these methods with other particle types. The tested MPs have distinct fluorescence, and a combined imaging and fluorescence method improves their detection, making meaningful progress in monitoring MPs in the atmosphere.
Ying Zhou, Longkun He, Jiang Tan, Jiang Zhou, and Yingjun Liu
Atmos. Meas. Tech., 17, 6415–6423, https://doi.org/10.5194/amt-17-6415-2024, https://doi.org/10.5194/amt-17-6415-2024, 2024
Short summary
Short summary
We present a sensitive DART-MS/MS method for the fast and accurate quantification of semi-volatile organic compounds (SVOCs) in organic films without the need for pre-treatment. This method offers greatly improved repeatability in the absence of internal standards. By utilizing MS/MS analysis, the separation of isomeric components within films becomes possible. These developments increase the feasibility of the DART-MS approach for studying the dynamics of SVOCs in indoor surface films.
Behnaz Alinaghipour, Sadegh Niazi, Robert Groth, Branka Miljevic, and Zoran Ristovski
EGUsphere, https://doi.org/10.5194/egusphere-2024-2161, https://doi.org/10.5194/egusphere-2024-2161, 2024
Short summary
Short summary
Airborne particles are crucial in environmental and health studies, requiring precise sampling for accurate characterisation. Our study examines the optimal sampling time for the TSI Nanometer Aerosol Sampler 3089 at different input concentrations. Aerosols from low, medium and high concentration environments were sampled over 1, 3, and 6 hours. A linear relationship was observed using a regression model between the deposition densities and the product of input concentration and sampling time.
Anthony C. Bernal Ayala, Angela K. Rowe, Lucia E. Arena, William O. Nachlas, and Maria L. Asar
Atmos. Meas. Tech., 17, 5561–5579, https://doi.org/10.5194/amt-17-5561-2024, https://doi.org/10.5194/amt-17-5561-2024, 2024
Short summary
Short summary
Hail is a challenging weather phenomenon to forecast due to an incomplete understanding of hailstone formation. Microscopy temperature limitations required previous studies to melt hail for analysis. This paper introduces a unique technique using a plastic cover to preserve particles in their location within the hailstone without melting. Therefore, CLSM and SEM–EDS microscopes can be used to determine individual particle sizes and their chemical composition related to hail-formation processes.
Tianle Pan, Andrew T. Lambe, Weiwei Hu, Yicong He, Minghao Hu, Huaishan Zhou, Xinming Wang, Qingqing Hu, Hui Chen, Yue Zhao, Yuanlong Huang, Doug R. Worsnop, Zhe Peng, Melissa A. Morris, Douglas A. Day, Pedro Campuzano-Jost, Jose-Luis Jimenez, and Shantanu H. Jathar
Atmos. Meas. Tech., 17, 4915–4939, https://doi.org/10.5194/amt-17-4915-2024, https://doi.org/10.5194/amt-17-4915-2024, 2024
Short summary
Short summary
This study systematically characterizes the temperature enhancement in the lamp-enclosed oxidation flow reactor (OFR). The enhancement varied multiple dimensional factors, emphasizing the complexity of temperature inside of OFR. The effects of temperature on the flow field and gas- or particle-phase reaction inside OFR were also evaluated with experiments and model simulations. Finally, multiple mitigation strategies were demonstrated to minimize this temperature increase.
Ningjin Xu, Chen Le, David R. Cocker, Kunpeng Chen, Ying-Hsuan Lin, and Don R. Collins
Atmos. Meas. Tech., 17, 4227–4243, https://doi.org/10.5194/amt-17-4227-2024, https://doi.org/10.5194/amt-17-4227-2024, 2024
Short summary
Short summary
A flow-through reactor was developed that exposes known mixtures of gases or ambient air to very high concentrations of the oxidants that are responsible for much of the chemistry that takes place in the atmosphere. Like other reactors of its type, it is primarily used to study the formation of particulate matter from the oxidation of common gases. Unlike other reactors of its type, it can simulate the chemical reactions that occur in liquid water that is present in particles or cloud droplets.
Ella Häkkinen, Huan Yang, Runlong Cai, and Juha Kangasluoma
Atmos. Meas. Tech., 17, 4211–4225, https://doi.org/10.5194/amt-17-4211-2024, https://doi.org/10.5194/amt-17-4211-2024, 2024
Short summary
Short summary
We report measurements of evaporation kinetics and surface equilibrium vapor pressures for various laboratory-generated organic nanoparticles using the dynamic-aerosol-size electrical mobility spectrometer (DEMS), a recent advancement in aerosol process characterization. Our findings align well with literature values, demonstrating DEMS's effectiveness. We suggest future improvements to DEMS and anticipate its potential for probing aerosol-related kinetic processes with unknown mechanisms.
Ping Liu, Xiang Ding, Bo-Xuan Li, Yu-Qing Zhang, Daniel J. Bryant, and Xin-Ming Wang
Atmos. Meas. Tech., 17, 3067–3079, https://doi.org/10.5194/amt-17-3067-2024, https://doi.org/10.5194/amt-17-3067-2024, 2024
Short summary
Short summary
In this paper, we further optimize the measurement of atmospheric organosulfates by hydrophilic interaction liquid chromatography (HILIC), offering an improved method for quantifying and speciating atmospheric organosulfates. These efforts will contribute to a deeper understanding of secondary organic aerosol precursors, formation mechanisms, and the contribution of organosulfate to atmospheric aerosols, ultimately guiding research in the field of air pollution prevention and control.
Corina Wieber, Mads Rosenhøj Jeppesen, Kai Finster, Claus Melvad, and Tina Šantl-Temkiv
Atmos. Meas. Tech., 17, 2707–2719, https://doi.org/10.5194/amt-17-2707-2024, https://doi.org/10.5194/amt-17-2707-2024, 2024
Short summary
Short summary
We developed a novel instrument to determine the quality and number of biological and non-biological particles, with respect to their ice-promoting capacity as a function of temperature. The measurement uncertainty was determined, and the instrument produced reliable results. Further, repeated measurements of the same suspension showed that the instrument had high reproducibility.
Jian Zhao, Valter Mickwitz, Yuanyuan Luo, Ella Häkkinen, Frans Graeffe, Jiangyi Zhang, Hilkka Timonen, Manjula Canagaratna, Jordan E. Krechmer, Qi Zhang, Markku Kulmala, Juha Kangasluoma, Douglas Worsnop, and Mikael Ehn
Atmos. Meas. Tech., 17, 1527–1543, https://doi.org/10.5194/amt-17-1527-2024, https://doi.org/10.5194/amt-17-1527-2024, 2024
Short summary
Short summary
Organic aerosol constitutes a significant portion of atmospheric fine particles but is less characterized due to its vast number of constituents. Recently, we developed a system for online measurements of particle-phase highly oxygenated organic molecules (HOMs). In this work, we systematically characterized the system, developed a new unit to enhance its performance, and demonstrated the essential role of thermograms in inferring volatility and quantifying HOMs in organic aerosols.
Xubing Du, Qinhui Xie, Qing Huang, Xuan Li, Junlin Yang, Zhihui Hou, Jingjing Wang, Xue Li, Zhen Zhou, Zhengxu Huang, Wei Gao, and Lei Li
Atmos. Meas. Tech., 17, 1037–1050, https://doi.org/10.5194/amt-17-1037-2024, https://doi.org/10.5194/amt-17-1037-2024, 2024
Short summary
Short summary
Currently, the limitations of single-particle mass spectrometry detection capabilities render it not yet well suited for analyzing complex aerosol components in low-concentration environments. In this study, a new high-performance single-particle aerosol mass spectrometer (HP-SPAMS) is developed to enhance instrument performance regarding the number of detected particles, transmission efficiency, resolution, and sensitivity, which will help in aerosol science.
Zhengning Xu, Jian Gao, Zhuanghao Xu, Michel Attoui, Xiangyu Pei, Mario Amo-González, Kewei Zhang, and Zhibin Wang
Atmos. Meas. Tech., 16, 5995–6006, https://doi.org/10.5194/amt-16-5995-2023, https://doi.org/10.5194/amt-16-5995-2023, 2023
Short summary
Short summary
Planar differential mobility analyzers (DMAs) have higher ion transmission efficiency and sizing resolution compared to cylindrical DMAs and are more suitable for use with mass spectrometers (MSs). Performance of the latest planar DMA (P5) was characterized. Sizing resolution and ion transmission efficiency were 5–16 times and ∼10 times higher than cylindrical DMAs. Sulfuric acid clusters were measured by DMA(P5)-MSs. This technique can be applied for natural products and biomolecule analysis.
Virginia Vernocchi, Elena Abd El, Marco Brunoldi, Silvia Giulia Danelli, Elena Gatta, Tommaso Isolabella, Federico Mazzei, Franco Parodi, Paolo Prati, and Dario Massabò
Atmos. Meas. Tech., 16, 5479–5493, https://doi.org/10.5194/amt-16-5479-2023, https://doi.org/10.5194/amt-16-5479-2023, 2023
Short summary
Short summary
Bioaerosol are airborne particles or droplets that contain living organisms or biological materials, such as bacteria, viruses, fungi, pollen, or other organic matter. The study of the relationship between bioaerosol viability and air quality or meteorological conditions is an open field, and running experiments of the bioareosol viability in an atmospheric simulation chamber gives the possibility to set up well-defined conditions to evaluate the interaction between bioaerosol and pollutants.
Mohit Singh, Stephanie Helen Jones, Alexei Kiselev, Denis Duft, and Thomas Leisner
Atmos. Meas. Tech., 16, 5205–5215, https://doi.org/10.5194/amt-16-5205-2023, https://doi.org/10.5194/amt-16-5205-2023, 2023
Short summary
Short summary
We introduce a novel method for simultaneous measurement of the viscosity and surface tension of metastable liquids. Our approach is based on the phase analysis of excited shape oscillations in levitated droplets. It is applicable to a wide range of atmospheric conditions and can monitor changes in real time. The technique holds great promise for investigating the effect of atmospheric processing on the viscosity and surface tension of solution droplets in equilibrium with water vapour.
Sophie A. Mills, Adam Milsom, Christian Pfrang, A. Rob MacKenzie, and Francis D. Pope
Atmos. Meas. Tech., 16, 4885–4898, https://doi.org/10.5194/amt-16-4885-2023, https://doi.org/10.5194/amt-16-4885-2023, 2023
Short summary
Short summary
Pollen grains are important components of the atmosphere and have the potential to impact upon cloud processes via their ability to help in the formation of rain droplets. This study investigates the hygroscopicity of two different pollen species using an acoustic levitator. Pollen grains are levitated, and their response to changes in relative humidity is investigated. A key advantage of this method is that it is possible study pollen shape under varying environmental conditions.
Alireza Moallemi, Robin L. Modini, Benjamin T. Brem, Barbara Bertozzi, Philippe Giaccari, and Martin Gysel-Beer
Atmos. Meas. Tech., 16, 3653–3678, https://doi.org/10.5194/amt-16-3653-2023, https://doi.org/10.5194/amt-16-3653-2023, 2023
Short summary
Short summary
Polarimetric data, i.e., the angular and polarization dependence of light scattering by aerosols, contain ample information on optical and microphysical properties. Retrieval of these properties is a central approach in aerosol remote sensing. We present a description, calibration, validation, and a first application of a new benchtop polar nephelometer, which provides in situ polarimetric measurements of an aerosol. Such data facilitate agreement between retrieval results and independent data.
Taomou Zong, Zhijun Wu, Junrui Wang, Kai Bi, Wenxu Fang, Yanrong Yang, Xuena Yu, Zhier Bao, Xiangxinyue Meng, Yuheng Zhang, Song Guo, Yang Chen, Chunshan Liu, Yue Zhang, Shao-Meng Li, and Min Hu
Atmos. Meas. Tech., 16, 3679–3692, https://doi.org/10.5194/amt-16-3679-2023, https://doi.org/10.5194/amt-16-3679-2023, 2023
Short summary
Short summary
This study developed and characterized an indoor chamber system (AIR) to simulate atmospheric multiphase chemistry processes. The AIR chamber can accurately control temperature and relative humidity (RH) over a broad range and simulate diurnal variation of ambient atmospheric RH. The aerosol generation unit can generate organic-coating seed particles with different phase states. The AIR chamber demonstrates high-quality performance in simulating secondary aerosol formation.
Marife B. Anunciado, Miranda De Boskey, Laura Haines, Katarina Lindskog, Tracy Dombek, Satoshi Takahama, and Ann M. Dillner
Atmos. Meas. Tech., 16, 3515–3529, https://doi.org/10.5194/amt-16-3515-2023, https://doi.org/10.5194/amt-16-3515-2023, 2023
Short summary
Short summary
Organic sulfur compounds are used to identify sources and atmospheric processing of aerosol. Our paper evaluates the potential of using a non-destructive measurement technique to measure organic sulfur compounds in filter samples by assessing their chemical stability over time. Some were stable, but some evaporated or changed chemically. Future work includes evaluating the stability and potential interference of multiple organic sulfur compounds in laboratory mixtures and ambient aerosol.
Shipeng Kang, Tongzhu Yu, Yixin Yang, Jiguang Wang, Huaqiao Gui, Jianguo Liu, and Da-Ren Chen
Atmos. Meas. Tech., 16, 3245–3255, https://doi.org/10.5194/amt-16-3245-2023, https://doi.org/10.5194/amt-16-3245-2023, 2023
Short summary
Short summary
A new aerosol electrometer, the thermal precipitation aerosol electrometer (TPAE), was designed for particles in sizes less than 300 nm, and its prototype performance was experimentally evaluated. The TPAE combines the thermal precipitator in the disk-to-disk configuration with a microcurrent measurement circuit board (i.e., pre-amplifier) for measuring the current carried by collected particles. Our performance study shows that the TPAE performance is consistent with the reference.
Battist Utinger, Steven John Campbell, Nicolas Bukowiecki, Alexandre Barth, Benjamin Gfeller, Ray Freshwater, Hans-Rudolf Rüegg, and Markus Kalberer
Atmos. Meas. Tech., 16, 2641–2654, https://doi.org/10.5194/amt-16-2641-2023, https://doi.org/10.5194/amt-16-2641-2023, 2023
Short summary
Short summary
Exposure to atmospheric aerosols can lead to adverse health effect, but particle components responsible for this are unknown. Redox-active compounds, some with very short lifetimes, are considered to be a toxic class of compounds in particles. We developed the first online field instrument to quantify short-lived and stable redox-active compounds with a physiological assay based on ascorbic acid and a high time resolution and detection limits to allow measurements at unpolluted locations.
Ella Häkkinen, Jian Zhao, Frans Graeffe, Nicolas Fauré, Jordan E. Krechmer, Douglas Worsnop, Hilkka Timonen, Mikael Ehn, and Juha Kangasluoma
Atmos. Meas. Tech., 16, 1705–1721, https://doi.org/10.5194/amt-16-1705-2023, https://doi.org/10.5194/amt-16-1705-2023, 2023
Short summary
Short summary
Highly oxygenated compounds contribute to the formation and growth of atmospheric organic aerosol and thus impact the global climate. Knowledge of their transformations and fate after condensing into the particle phase has been limited by the lack of suitable detection techniques. Here, we present an online method for measuring highly oxygenated compounds from organic aerosol. We evaluate the performance of the method and demonstrate that the method is applicable to different organic species.
Julia Pikmann, Lasse Moormann, Frank Drewnick, and Stephan Borrmann
Atmos. Meas. Tech., 16, 1323–1341, https://doi.org/10.5194/amt-16-1323-2023, https://doi.org/10.5194/amt-16-1323-2023, 2023
Short summary
Short summary
Aerosols measured in complex environments are usually a mixture of emissions from different sources. To characterize sources individually, we developed a sampling system for particles and organic trace gases which is coupled to real-time data of physical and chemical aerosol properties, gas concentrations, and meteorological variables. Using suitable sampling conditions for individual aerosols which are compared with the real-time data the desired aerosols are sampled separately from each other.
Christopher R. Niedek, Fan Mei, Maria A. Zawadowicz, Zihua Zhu, Beat Schmid, and Qi Zhang
Atmos. Meas. Tech., 16, 955–968, https://doi.org/10.5194/amt-16-955-2023, https://doi.org/10.5194/amt-16-955-2023, 2023
Short summary
Short summary
This novel micronebulization aerosol mass spectrometry (MS) technique requires a low sample volume (10 μL) and can quantify nanogram levels of organic and inorganic particulate matter (PM) components when used with 34SO4. This technique was successfully applied to PM samples collected from uncrewed atmospheric measurement platforms and provided chemical information that agrees well with real-time data from a co-located aerosol chemical speciation monitor and offline data from secondary ion MS.
Martin Rauber, Gary Salazar, Karl Espen Yttri, and Sönke Szidat
Atmos. Meas. Tech., 16, 825–844, https://doi.org/10.5194/amt-16-825-2023, https://doi.org/10.5194/amt-16-825-2023, 2023
Short summary
Short summary
Carbon-containing aerosols from ambient air are analysed for radioactive isotope radiocarbon to determine the contribution from fossil-fuel emissions. Light-absorbing soot-like aerosols are isolated by water extraction and thermal separation. This separation is affected by artefacts, for which we developed a new correction method. The investigation of aerosols from the Arctic shows that our approach works well for such samples, where many artefacts are expected.
Alain Miffre, Danaël Cholleton, Clément Noël, and Patrick Rairoux
Atmos. Meas. Tech., 16, 403–417, https://doi.org/10.5194/amt-16-403-2023, https://doi.org/10.5194/amt-16-403-2023, 2023
Short summary
Short summary
The depolarization ratio of hematite, silica, Arizona and Asian dust is evaluated in a lab with a π-polarimeter operating at lidar 180 ° and at (355, 532) nm wavelengths. The hematite depolarization equals (10±1) % at 355 nm for coarser particles, while that of silica is (33±1) %. This huge difference is explained by accounting for the high imaginary part of the hematite complex refractive index, thus revealing the key role played by light absorption in mineral dust lidar depolarization.
Miriam Chacón-Mateos, Bernd Laquai, Ulrich Vogt, and Cosima Stubenrauch
Atmos. Meas. Tech., 15, 7395–7410, https://doi.org/10.5194/amt-15-7395-2022, https://doi.org/10.5194/amt-15-7395-2022, 2022
Short summary
Short summary
The study evaluates a low-cost dryer to avoid the negative effect of hygroscopic growth and fog droplets in the particulate matter (PM) concentrations of sensors. The results show a reduction in the overestimation of the PM but also an underestimation compared to reference devices. Special care is needed when designing a dryer as high temperatures change the sampled air by evaporating the most volatile particulate species. Low-cost dryers are very promising for different sensor applications.
Svetlana Sofieva, Eija Asmi, Nina S. Atanasova, Aino E. Heikkinen, Emeline Vidal, Jonathan Duplissy, Martin Romantschuk, Rostislav Kouznetsov, Jaakko Kukkonen, Dennis H. Bamford, Antti-Pekka Hyvärinen, and Mikhail Sofiev
Atmos. Meas. Tech., 15, 6201–6219, https://doi.org/10.5194/amt-15-6201-2022, https://doi.org/10.5194/amt-15-6201-2022, 2022
Short summary
Short summary
A new bubble-generating glass chamber design with an extensive set of aerosol production experiments is presented to re-evaluate bubble-bursting-mediated aerosol production as a function of water parameters: bubbling air flow, water salinity, and temperature. Our main findings suggest modest dependence of aerosol production on the water salinity and a strong dependence on temperature below ~ 10 °C.
Kristian J. Kiland, Kevin L. Marroquin, Natalie R. Smith, Shaun Xu, Sergey A. Nizkorodov, and Allan K. Bertram
Atmos. Meas. Tech., 15, 5545–5561, https://doi.org/10.5194/amt-15-5545-2022, https://doi.org/10.5194/amt-15-5545-2022, 2022
Short summary
Short summary
Information on the viscosity of secondary organic aerosols is needed when making air quality, climate, and atmospheric chemistry predictions. Viscosity depends on temperature, so we developed a new method for measuring the temperature-dependent viscosity of small samples. As an application of the method, we measured the viscosity of farnesene secondary organic aerosol at different temperatures.
Sabin Kasparoglu, Mohammad Maksimul Islam, Nicholas Meskhidze, and Markus D. Petters
Atmos. Meas. Tech., 15, 5007–5018, https://doi.org/10.5194/amt-15-5007-2022, https://doi.org/10.5194/amt-15-5007-2022, 2022
Short summary
Short summary
A modified version of a Handix Scientific printed optical particle spectrometer is introduced. The paper presents characterization experiments, including concentration, size, and time responses. Integration of an external multichannel analyzer card removes counting limitations of the original instrument. It is shown that the high-resolution light-scattering amplitude data can be used to sense particle-phase transitions.
Nikunj Dudani and Satoshi Takahama
Atmos. Meas. Tech., 15, 4693–4707, https://doi.org/10.5194/amt-15-4693-2022, https://doi.org/10.5194/amt-15-4693-2022, 2022
Short summary
Short summary
We designed and fabricated an aerosol collector with high collection efficiency that enables quantitative infrared spectroscopy analysis. By collecting particles on optical windows, typical substrate interferences are eliminated. New methods for fabricating aerosol devices using 3D printing with post-treatment to reduce the time and cost of prototyping are described.
Mao Du, Aristeidis Voliotis, Yunqi Shao, Yu Wang, Thomas J. Bannan, Kelly L. Pereira, Jacqueline F. Hamilton, Carl J. Percival, M. Rami Alfarra, and Gordon McFiggans
Atmos. Meas. Tech., 15, 4385–4406, https://doi.org/10.5194/amt-15-4385-2022, https://doi.org/10.5194/amt-15-4385-2022, 2022
Short summary
Short summary
Atmospheric chemistry plays a key role in the understanding of aerosol formation and air pollution. We designed chamber experiments for the characterization of secondary organic aerosol (SOA) from a biogenic precursor with inorganic seed. Our results highlight the advantages of a combination of online FIGAERO-CIMS and offline LC-Orbitrap MS analytical techniques to characterize the chemical composition of SOA in chamber studies.
Chuan Ping Lee, Mihnea Surdu, David M. Bell, Josef Dommen, Mao Xiao, Xueqin Zhou, Andrea Baccarini, Stamatios Giannoukos, Günther Wehrle, Pascal André Schneider, Andre S. H. Prevot, Jay G. Slowik, Houssni Lamkaddam, Dongyu Wang, Urs Baltensperger, and Imad El Haddad
Atmos. Meas. Tech., 15, 3747–3760, https://doi.org/10.5194/amt-15-3747-2022, https://doi.org/10.5194/amt-15-3747-2022, 2022
Short summary
Short summary
Real-time detection of both the gas and particle phase is needed to elucidate the sources and chemical reaction pathways of organic vapors and particulate matter. The Dual-EESI was developed to measure gas- and particle-phase species to provide new insights into aerosol sources or formation mechanisms. After characterizing the relative gas and particle response factors of EESI via organic aerosol uptake experiments, the Dual-EESI is more sensitive toward gas-phase analyes.
Martin I. Daily, Mark D. Tarn, Thomas F. Whale, and Benjamin J. Murray
Atmos. Meas. Tech., 15, 2635–2665, https://doi.org/10.5194/amt-15-2635-2022, https://doi.org/10.5194/amt-15-2635-2022, 2022
Short summary
Short summary
Mineral dust and particles of biological origin are important types of ice-nucleating particles (INPs) that can trigger ice formation of supercooled cloud droplets. Heat treatments are used to detect the presence of biological INPs in samples collected from the environment as the activity of mineral INPs is assumed unchanged, although not fully assessed. We show that the ice-nucleating ability of some minerals can change after heating and discuss how INP heat tests should be interpreted.
Jiyan Wu, Chi Yang, Chunyan Zhang, Fang Cao, Aiping Wu, and Yanlin Zhang
Atmos. Meas. Tech., 15, 2623–2633, https://doi.org/10.5194/amt-15-2623-2022, https://doi.org/10.5194/amt-15-2623-2022, 2022
Short summary
Short summary
We introduced an online method to simultaneously determine the content of inorganic salt ions and reactive oxygen species (ROS) in PM2.5 hour by hour. We verified the accuracy and precision of the instrument. And we got the daily changes in ROS and the main sources that affect ROS. This breakthrough enables the quantitative assessment of atmospheric particulate matter ROS at the diurnal scale, providing an effective tool to study sources and environmental impacts of ROS.
Virginia Vernocchi, Marco Brunoldi, Silvia G. Danelli, Franco Parodi, Paolo Prati, and Dario Massabò
Atmos. Meas. Tech., 15, 2159–2175, https://doi.org/10.5194/amt-15-2159-2022, https://doi.org/10.5194/amt-15-2159-2022, 2022
Short summary
Short summary
The performance of a mini inverted soot generator was investigated at a simulation chamber facility by studying the soot generated by ethylene and propane combustion, together with the number, size, optical properties, and EC / OC concentrations. Mass absorption coefficients and Ångström absorption exponents are compatible with the literature, with some differences. The characterization of MISG soot particles is fundamental to design and perform experiments in atmospheric simulation chambers.
Magdalena Vallon, Linyu Gao, Feng Jiang, Bianca Krumm, Jens Nadolny, Junwei Song, Thomas Leisner, and Harald Saathoff
Atmos. Meas. Tech., 15, 1795–1810, https://doi.org/10.5194/amt-15-1795-2022, https://doi.org/10.5194/amt-15-1795-2022, 2022
Short summary
Short summary
A LED-based light source has been constructed for the AIDA simulation chamber at the Karlsruhe Institute of Technology. It allows aerosol formation and ageing studies under atmospherically relevant illumination intensities and spectral characteristics at temperatures from –90 °C to 30 °C with the possibility of changing the photon flux and irradiation spectrum at any point. The first results of photolysis experiments with 2,3-pentanedione, iron oxalate and a brown carbon component are shown.
Danaël Cholleton, Émilie Bialic, Antoine Dumas, Pascal Kaluzny, Patrick Rairoux, and Alain Miffre
Atmos. Meas. Tech., 15, 1021–1032, https://doi.org/10.5194/amt-15-1021-2022, https://doi.org/10.5194/amt-15-1021-2022, 2022
Short summary
Short summary
While pollen impacts public health and the Earth’s climate, the identification of each pollen taxon remains challenging. In this context, a laboratory evaluation of the polarimetric light-scattering characteristics of ragweed, ash, birch and pine pollen, when embedded in ambient air, is here performed at two wavelengths. Interestingly, the achieved precision of the retrieved scattering matrix elements allows unequivocal light scattering characteristics of each studied taxon to be identified.
Kanishk Gohil and Akua A. Asa-Awuku
Atmos. Meas. Tech., 15, 1007–1019, https://doi.org/10.5194/amt-15-1007-2022, https://doi.org/10.5194/amt-15-1007-2022, 2022
Short summary
Short summary
This work develops a methodology and software to study and analyze the cloud-droplet-forming ability of aerosols with an aerodynamic aerosol classifier (AAC). This work quantifies the uncertainties in size-resolved measurements and subsequent uncertainties propagated to cloud droplet parameterizations. Lastly, we present the best practices for AAC cloud droplet measurement.
Yunqi Shao, Yu Wang, Mao Du, Aristeidis Voliotis, M. Rami Alfarra, Simon P. O'Meara, S. Fiona Turner, and Gordon McFiggans
Atmos. Meas. Tech., 15, 539–559, https://doi.org/10.5194/amt-15-539-2022, https://doi.org/10.5194/amt-15-539-2022, 2022
Short summary
Short summary
A comprehensive description and characterisation of the Manchester Aerosol Chamber (MAC) was conducted. The MAC has good temperature and relative humidity homogeneity, fast mixing times, and comparable losses of gases and particles with other chambers. The MAC's bespoke control system allows improved duty cycles and repeatable experiments. Moreover, the effect of contamination on performance was also investigated. It is highly recommended to regularly track the chamber's performance.
Dina Alfaouri, Monica Passananti, Tommaso Zanca, Lauri Ahonen, Juha Kangasluoma, Jakub Kubečka, Nanna Myllys, and Hanna Vehkamäki
Atmos. Meas. Tech., 15, 11–19, https://doi.org/10.5194/amt-15-11-2022, https://doi.org/10.5194/amt-15-11-2022, 2022
Short summary
Short summary
To study what is happening in the atmosphere, it is important to be able to measure the molecules and clusters present in it. In our work, we studied an artifact that happens inside a mass spectrometer, in particular the fragmentation of clusters. We were able to quantify the fragmentation and retrieve the correct concentration and composition of the clusters using our dual (experimental and theoretical) approach.
Sudheer Salana, Yixiang Wang, Joseph V. Puthussery, and Vishal Verma
Atmos. Meas. Tech., 14, 7579–7593, https://doi.org/10.5194/amt-14-7579-2021, https://doi.org/10.5194/amt-14-7579-2021, 2021
Short summary
Short summary
Oxidative potential (OP) of particulate matter (PM) is an important indicator of PM toxicity. However, no automated instrument has ever been developed to provide a rapid high-throughput analysis of cell-based OP measurements. Here, we developed a semi-automated instrument, the first of its kind, for measuring oxidative potential using rat alveolar cells. We also developed a dataset on the intrinsic cellular OP of several compounds commonly known to be present in ambient PM.
Kevin B. Fischer and Giuseppe A. Petrucci
Atmos. Meas. Tech., 14, 7565–7577, https://doi.org/10.5194/amt-14-7565-2021, https://doi.org/10.5194/amt-14-7565-2021, 2021
Short summary
Short summary
The viscosity of organic particles in atmospheric aerosol is sometimes correlated to bounce factor. It is generally accepted that more viscous particles will be more likely to bounce following acceleration toward and impaction on a surface. We demonstrate that use of multi-stage low-pressure impactors for this purpose may result in measurement artifacts that depend on chemical composition, particle size, and changing relative humidity. A hypothesis for the observed effect is presented.
Najin Kim, Yafang Cheng, Nan Ma, Mira L. Pöhlker, Thomas Klimach, Thomas F. Mentel, Ovid O. Krüger, Ulrich Pöschl, and Hang Su
Atmos. Meas. Tech., 14, 6991–7005, https://doi.org/10.5194/amt-14-6991-2021, https://doi.org/10.5194/amt-14-6991-2021, 2021
Short summary
Short summary
A broad supersaturation scanning CCN (BS2-CCN) system, in which particles are exposed to a range of supersaturation simultaneously, can measure a broad range of CCN activity distribution with a high time resolution. We describe how the BS2-CCN system can be effectively calibrated and which factors can affect the calibration curve. Intercomparison experiments between typical DMA-CCN and BS2-CCN measurements to evaluate the BS2-CCN system showed high correlation and good agreement.
Chenyang Bi, Jordan E. Krechmer, Manjula R. Canagaratna, and Gabriel Isaacman-VanWertz
Atmos. Meas. Tech., 14, 6551–6560, https://doi.org/10.5194/amt-14-6551-2021, https://doi.org/10.5194/amt-14-6551-2021, 2021
Short summary
Short summary
Calibration techniques have been recently developed to log-linearly correlate analyte sensitivity with CIMS operating conditions particularly for compounds without authentic standards. In this work, we examine the previously ignored bias in the log-linear-based calibration method and estimate an average bias of 30 %, with 1 order of magnitude for less sensitive compounds in some circumstances. A step-by-step guide was provided to reduce and even remove the bias.
Chuan Ping Lee, Mihnea Surdu, David M. Bell, Houssni Lamkaddam, Mingyi Wang, Farnoush Ataei, Victoria Hofbauer, Brandon Lopez, Neil M. Donahue, Josef Dommen, Andre S. H. Prevot, Jay G. Slowik, Dongyu Wang, Urs Baltensperger, and Imad El Haddad
Atmos. Meas. Tech., 14, 5913–5923, https://doi.org/10.5194/amt-14-5913-2021, https://doi.org/10.5194/amt-14-5913-2021, 2021
Short summary
Short summary
Extractive electrospray ionization mass spectrometry (EESI-MS) has been deployed for high throughput online detection of particles with minimal fragmentation. Our study elucidates the extraction mechanism between the particles and electrospray (ES) droplets of different properties. The results show that the extraction rate is likely affected by the coagulation rate between the particles and ES droplets. Once coagulated, the particles undergo complete extraction within the ES droplet.
Weimeng Kong, Stavros Amanatidis, Huajun Mai, Changhyuk Kim, Benjamin C. Schulze, Yuanlong Huang, Gregory S. Lewis, Susanne V. Hering, John H. Seinfeld, and Richard C. Flagan
Atmos. Meas. Tech., 14, 5429–5445, https://doi.org/10.5194/amt-14-5429-2021, https://doi.org/10.5194/amt-14-5429-2021, 2021
Short summary
Short summary
We present the design, modeling, and experimental characterization of the nano-scanning electrical mobility spectrometer (nSEMS), a recently developed instrument that probes particle physical properties in the 1.5–25 nm range. The nSEMS has proven to be extremely powerful in examining atmospheric nucleation and the subsequent growth of nanoparticles in the CERN CLOUD experiment, which provides a valuable asset to study atmospheric nanoparticles and to evaluate their impact on climate.
Jack M. Choczynski, Ravleen Kaur Kohli, Craig S. Sheldon, Chelsea L. Price, and James F. Davies
Atmos. Meas. Tech., 14, 5001–5013, https://doi.org/10.5194/amt-14-5001-2021, https://doi.org/10.5194/amt-14-5001-2021, 2021
Short summary
Short summary
Relative humidity (RH) and hygroscopicity play an important role in regulating the physical, chemical, and optical properties of aerosol. In this work, we develop a new method to characterize hygroscopicity using particle levitation. We levitate two droplets with an electrodynamic balance and measure their size with light-scattering methods using one droplet as a probe of the RH. We demonstrate highly accurate and precise measurements of the RH and hygroscopic growth of a range of samples.
Yuhan Yang, Dong Gao, and Rodney J. Weber
Atmos. Meas. Tech., 14, 4707–4719, https://doi.org/10.5194/amt-14-4707-2021, https://doi.org/10.5194/amt-14-4707-2021, 2021
Short summary
Short summary
Iron and copper are commonly found in ambient aerosols and have been linked to adverse health effects. We describe a relatively simple benchtop instrument that can be used to quantify these metals in aqueous solutions and verify the method by comparison with inductively coupled plasma mass spectrometry. The approach is based on forming light-absorbing metal–ligand complexes that can be measured with high sensitivity utilizing a long-path liquid waveguide capillary cell.
Cited articles
Abbasi, H., Rauter, G., Guzman, R., Cattin, P. C., and Zam, A.: Laser-induced
breakdown spectroscopy as a potential tool for autocarbonization detection in laserosteotomy, J. Biomed. Opt., 23, 071206, https://doi.org/10.1117/1.JBO.23.7.071206, 2018. a
Axente, E., Hermann, J., Socol, G., Mercadier, L., Beldjilali, S. A., Cirisan, M., Luculescu, C. R., Ristoscu, C., Mihailescu, I. N., and Craciun, V.: Accurate analysis of indium–zinc oxide thin films via laser-induced
breakdown spectroscopy based on plasma modeling, J. Anal. Atom.
Spectrom., 29, 553–564, 2014. a
Baudelet, M., Guyon, L., Yu, J., Wolf, J.-P., Amodeo, T., Fréjafon, E., and Laloi, P.: Femtosecond time-resolved laser-induced breakdown spectroscopy for detection and identification of bacteria: A comparison to the nanosecond
regime, J. Appl. Phys., 99, 084701, https://doi.org/10.1063/1.2187107, 2006. a
Boucher, T. F., Ozanne, M. V., Carmosino, M. L., Dyar, M. D., Mahadevan, S.,
Breves, E. A., Lepore, K. H., and Clegg, S. M.: A study of machine learning
regression methods for major elemental analysis of rocks using laser-induced breakdown spectroscopy, Spectrochim. Acta B, 107, 1–10, 2015. a
Braga, J. W. B., Trevizan, L. C., Nunes, L. C., Rufini, I. A., Santos Jr, D.,
and Krug, F. J.: Comparison of univariate and multivariate calibration for
the determination of micronutrients in pellets of plant materials by laser
induced breakdown spectrometry, Spectrochim. Acta B, 65, 66–74, 2010. a, b
Brook, R. D., Franklin, B., Cascio, W., Hong, Y., Howard, G., Lipsett, M., Luepker, R., Mittleman, M., Samet, J., Smith Jr., S. C., and Tager, I.: Air pollution
and cardiovascular disease: a statement for healthcare professionals from the
Expert Panel on Population and Prevention Science of the American Heart
Association, Circulation, 109, 2655–2671, 2004. a
Buzea, C., Pacheco, I. I., and Robbie, K.: Nanomaterials and nanoparticles:
sources and toxicity, Biointerphases, 2, MR17–MR71, 2007. a
Castro, J. P. and Pereira-Filho, E. R.: Twelve different types of data
normalization for the proposition of classification, univariate and
multivariate regression models for the direct analyses of alloys by
laser-induced breakdown spectroscopy (LIBS), J. Anal. Atom.
Spectrom., 31, 2005–2014, 2016. a, b
Chengxu, L., Bo, W., Jiang, X., Zhang, J., Kang, N., and Yanwei, Y.: Detection of K in soil using time-resolved laser-induced breakdown spectroscopy based on convolutional neural networks, Plasma Sci. Technol., 21, 034014, https://doi.org/10.1088/2058-6272/aaef6e, 2018. a
Davari, S. A., Hu, S., and Mukherjee, D.: Calibration-free quantitative
analysis of elemental ratios in intermetallic nanoalloys and nanocomposites
using Laser Induced Breakdown Spectroscopy (LIBS), Talanta, 164, 330–340,
2017a. a
Davari, S. A., Hu, S., Pamu, R., and Mukherjee, D.: Calibration-free
quantitative analysis of thin-film oxide layers in semiconductors using laser
induced breakdown spectroscopy (LIBS), J. Anal. Atom. Spectrom., 32, 1378–1387, 2017b. a
Davari, S. A., Masjedi, S., Ferdous, Z., and Mukherjee, D.: In-vitro analysis
of early calcification in aortic valvular interstitial cells using
Laser-Induced Breakdown Spectroscopy (LIBS), J. Biophotonics, 11,
e201600288, https://doi.org/10.1002/jbio.201600288, 2018. a
Davari, S. A., Taylor, P. A., Standley, R. W., and Mukherjee, D.: Detection of interstitial oxygen contents in Czochralski grown silicon crystals using
internal calibration in laser-induced breakdown spectroscopy (LIBS), Talanta,
193, 192–198, 2019. a
De Giacomo, A., De Bonis, A., Dell'Aglio, M., De Pascale, O., Gaudiuso, R.,
Orlando, S., Santagata, A., Senesi, G., Taccogna, F., and Teghil, R.: Laser
ablation of graphite in water in a range of pressure from 1 to 146 atm using
single and double pulse techniques for the production of carbon
nanostructures, J. Phys. Chem. C, 115, 5123–5130, 2011. a
Diwakar, P., Kulkarni, P., and Birch, M. E.: New approach for near-real-time
measurement of elemental composition of aerosol using laser-induced breakdown
spectroscopy, Aerosol Sci. Tech., 46, 316–332, 2012. a
Do, H. and Carter, C.: Hydrocarbon fuel concentration measurement in reacting
flows using short-gated emission spectra of laser induced plasma, Combust. Flame, 160, 601–609, 2013. a
Dyar, M., Carmosino, M., Breves, E., Ozanne, M., Clegg, S., and Wiens, R.:
Comparison of partial least squares and lasso regression techniques as
applied to laser-induced breakdown spectroscopy of geological samples,
Spectrochim. Acta B, 70, 51–67, 2012. a
Ferreira, E. C., Milori, D. M., Ferreira, E. J., Da Silva, R. M., and
Martin-Neto, L.: Artificial neural network for Cu quantitative determination
in soil using a portable laser induced breakdown spectroscopy system,
Spectrochim. Acta B, 63, 1216–1220, 2008. a
Fisher, B. T., Johnsen, H. A., Buckley, S. G., and Hahn, D. W.: Temporal gating
for the optimization of laser-induced breakdown spectroscopy detection and
analysis of toxic metals, Appl. Spectrosc., 55, 1312–1319, 2001. a
Gent, J. F., Koutrakis, P., Belanger, K., Triche, E., Holford, T. R., Bracken, M. B., and Leaderer, B. P.: Symptoms and medication use in children with asthma and traffic-related sources of fine particle pollution, Environ. Health Persp., 117, 1168–1174, 2009. a
Gottfried, J. L., De Lucia, F. C., Munson, C. A., and Miziolek, A. W.:
Laser-induced breakdown spectroscopy for detection of explosives residues: a
review of recent advances, challenges, and future prospects, Anal.
Bioanal. Chem., 395, 283–300, 2009. a
Hahn, D. W. and Omenetto, N.: Laser-induced breakdown spectroscopy (LIBS), part I: review of basic diagnostics and plasma–particle interactions:
still-challenging issues within the analytical plasma community, Appl.
Spectrosc., 64, 335A–366A, 2010. a
Hahn, D. W. and Omenetto, N.: Laser-induced breakdown spectroscopy (LIBS), part II: review of instrumental and methodological approaches to material analysis and applications to different fields, Appl. Spectrosc., 66, 347–419, 2012. a
Hermann, J., Axente, E., Pelascini, F., and Craciun, V.: Analysis of
Multi-elemental Thin Films via Calibration-Free Laser-Induced Breakdown
Spectroscopy, Anal. Chem., 91, 2544–2550, 2019. a
Hu, S., Ribeiro, E. L., Davari, S. A., Tian, M., Mukherjee, D., and Khomami,
B.: Hybrid nanocomposites of nanostructured Co3O4 interfaced with
reduced/nitrogen-doped graphene oxides for selective improvements in
electrocatalytic and/or supercapacitive properties, Rsc Advances, 7,
33166–33176, 2017. a
Hunter, A. J., Morency, J. R., Senior, C. L., Davis, S. J., and Fraser, M. E.:
Continuous emissions monitoring using spark-induced breakdown spectroscopy,
J. Air Waste Manage., 50, 111–117, 2000. a
Kiefer, J., Tröger, J. W., Li, Z., Seeger, T., Alden, M., and Leipertz, A.: Laser-induced breakdown flame thermometry, Combust. Flame, 159,
3576–3582, 2012. a
Kotzagianni, M., Yuan, R., Mastorakos, E., and Couris, S.: Laser-induced
breakdown spectroscopy measurements of mean mixture fraction in turbulent
methane flames with a novel calibration scheme, Combust. Flame, 167,
72–85, 2016. a
Martin, M. Z., Labbé, N., André, N., Harris, R., Ebinger, M.,
Wullschleger, S. D., and Vass, A. A.: High resolution applications of
laser-induced breakdown spectroscopy for environmental and forensic
applications, Spectrochim. Acta B, 62,
1426–1432, 2007. a
Matsumoto, A., Tamura, A., Honda, T., Hirota, T., Kobayashi, K., Katakura, S., Nishi, N., Amano, K.-i., Fukami, K., and Sakka, T.: Transfer of the species dissolved in a liquid into laser ablation plasma: an approach using emission spectroscopy, J. Phys. Chem. C, 119, 26506–26511,
2015a. a
Matsumoto, A., Tamura, A., Koda, R., Fukami, K., Ogata, Y. H., Nishi, N.,
Thornton, B., and Sakka, T.: On-site quantitative elemental analysis of metal
ions in aqueous solutions by underwater laser-induced breakdown spectroscopy
combined with electrodeposition under controlled potential, Anal.
Chem., 87, 1655–1661, 2015b. a
Matsumoto, A., Tamura, A., Koda, R., Fukami, K., Ogata, Y. H., Nishi, N.,
Thornton, B., and Sakka, T.: A calibration-free approach for on-site
multi-element analysis of metal ions in aqueous solutions by
electrodeposition-assisted underwater laser-induced breakdown spectroscopy,
Spectrochim. Acta B, 118, 45–55, 2016. a
Mukherjee, D. and Cheng, M.-D.: Characterization of carbon-containing
aerosolized drugs using laser-induced breakdown spectroscopy, Appl.
Spectrosc., 62, 554–562, 2008a. a
Mukherjee, D. and Cheng, M.-D.: Quantitative analysis of carbonaceous aerosols
using laser-induced breakdown spectroscopy: a study on mass loading induced
plasma matrix effects, J. Anal. Atom. Spectrom., 23,
119–128, 2008b. a
Pope III, C. A., Burnett, R. T., Thun, M. J., Calle, E. E., Krewski, D., Ito,
K., and Thurston, G. D.: Lung cancer, cardiopulmonary mortality, and
long-term exposure to fine particulate air pollution, Jama, 287, 1132–1141,
2002. a
Rovelli, S., Nischkauer, W., Cavallo, D. M., and Limbeck, A.: Multi-element
analysis of size-segregated fine and ultrafine particulate via Laser
Ablation-Inductively Coupled Plasma-Mass Spectrometry, Anal. Chim.
Acta, 1043, 11–19, 2018. a
Sacks, R. D. and Walters, J. P.: Short-time, spatially-resolved radiation
processes in a high-voltage spark discharge, Anal. Chem., 42,
61–84, 1970. a
Shepherd, J. E., Krok, J. C., and Lee, J. J.: Spark ignition energy measurements in Jet A, California Institute of Technology, available at: http://www.twa800.com/report/galcit_fm97-9.pdf, last access: 1 October 2020. a
St-Onge, L., Kwong, E., Sabsabi, M., and Vadas, E.: Quantitative analysis of
pharmaceutical products by laser-induced breakdown spectroscopy,
Spectrochim. Acta B, 57, 1131–1140, 2002. a
Van Meel, K., Smekens, A., Behets, M., Kazandjian, P., and Van Grieken, R.:
Determination of platinum, palladium, and rhodium in automotive catalysts
using high-energy secondary target X-ray fluorescence spectrometry,
Anal. Chem., 79, 6383–6389, 2007. a
Venecek, M. A., Zhao, Y., Mojica, J., McDade, C. E., Green, P. G., Kleeman,
M. J., and Wexler, A. S.: Characterization of the 8-stage Rotating Drum
Impactor under low concentration conditions, J. Aerosol Sci., 100,
140–154, 2016. a
Vincze, L., Somogyi, A., Osan, J., Vekemans, B., Török, S., Janssens,
K., and Adams, F.: Quantitative trace element analysis of individual fly ash
particles by means of X-ray microfluorescence, Anal. Chem., 74,
1128–1135, 2002. a
Walters, J.: Historical advances in spark emission spectroscopy, Appl.
Spectrosc., 23, 317–331, 1969. a
Walters, J. P.: Spark discharge: Application multielement spectrochemical
analysis, Science, 198, 787–797, 1977. a
Yao, S., Xu, J., Zhang, L., Zhao, J., and Lu, Z.: Optimizing critical
parameters for the directly measurement of particle flow with PF-SIBS,
Sci. Rep., 8, 1868, https://doi.org/10.1038/s41598-018-20073-1, 2018. a
Zanobetti, A., Franklin, M., Koutrakis, P., and Schwartz, J.: Fine particulate air pollution and its components in association with cause-specific emergency admissions, Environ. Health, 8, 58, https://doi.org/10.1186/1476-069X-8-58, 2009. a
Zheng, L., Kulkarni, P., Zavvos, K., Liang, H., Birch, M. E., and Dionysiou,
D. D.: Characterization of an aerosol microconcentrator for analysis using
microscale optical spectroscopies, J. Aerosol Sci., 104, 66–78,
2017. a
Zheng, L., Kulkarni, P., and Dionysiou, D. D.: Calibration approaches for the
measurement of aerosol multielemental concentration using spark emission
spectroscopy, J. Anal. Atom. Spectrom., 33, 404–412,
2018a. a
Zheng, L., Kulkarni, P., and Diwakar, P.: Spatial and temporal dynamics of a
pulsed spark microplasma used for aerosol analysis, Spectrochim. Acta B, 144, 55–62, 2018b. a
Short summary
Traditional instruments for detection and quantification of toxic metals in the atmosphere are expensive. In this study, we have designed, fabricated, and tested a low-cost instrument, which employs cheap components to detect and quantify toxic metals. Advanced machine learning (ML) techniques have been used to improve the instrument's performance. This study demonstrates how the combination of low-cost sensors with ML can address problems that traditionally have been too expensive to be solved.
Traditional instruments for detection and quantification of toxic metals in the atmosphere are...
