1
|
MacFarland A, Walters WW, Hastings MG. Solid Phase Extraction Methodology for Robust Isotope Analysis of Atmospheric Ammonium. ACS EARTH & SPACE CHEMISTRY 2024; 8:1039-1047. [PMID: 38774357 PMCID: PMC11104347 DOI: 10.1021/acsearthspacechem.3c00375] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 03/20/2024] [Accepted: 04/02/2024] [Indexed: 05/24/2024]
Abstract
The stable nitrogen isotope composition (δ15N) of atmospheric ammonia (NH3) and ammonium (NH4+) has emerged as a potent tool for improving our understanding of the atmospheric burden of reduced nitrogen. However, current chemical oxidation methodologies commonly utilized for characterizing δ15N values of NH4+ samples have been found to lead to low precision for low concentration (i.e., < 5 μmol L-1) samples and often suffer from matrix interferences. Here, we present an analytical methodology to extract and concentrate NH4+ from samples through use of a sample pretreatment step using a solid phase extraction technique involving cation exchange resins. Laboratory control tests indicated that 0.4 g of cation exchange resin (Biorad AG-50W) and 10 mL of 4 M sodium chloride extraction solution enabled the complete capture and removal of NH4+. Using this sample pretreatment methodology, we obtained accurate and precise δ15N values for NH4+ reference materials and an in-house quality control sample at concentrations as low as 1.0 μM. Additionally, the sample pretreatment methodology was evaluated using atmospheric aerosol samples previously measured for δ15N-NH4+ (from Changdao Island, China), which indicated an excellent δ15N-NH4+ match between sample pretreatment and no treatment (y = (0.98 ± 0.05)x + (0.11 ± 0.6), R2 = 0.99). Further, this methodology successfully extracted NH4+ from aerosol samples and separated it from present matrix effects (samples collected from Oahu, Hawaii; pooled standard deviation δ15N-NH4+ = ± 0.5‰,n = 16 paired samples) that without pretreatment originally failed to quantitatively oxidize to nitrite for subsequent δ15N isotope analysis. Thus, we recommend applying this sample pretreatment step for all environmental NH4+ samples to ensure accurate and precise δ15N measurement.
Collapse
Affiliation(s)
- Alexandra
B. MacFarland
- Department
of Earth, Environmental, and Planetary Sciences Brown University 324 Brook Street, Box 1846 Providence, Rhode Island 02912, United States
- Institute
at Brown for Environment and Society Brown
University 85 Waterman St Providence, Rhode Island 02912, United States
| | - Wendell W. Walters
- Institute
at Brown for Environment and Society Brown
University 85 Waterman St Providence, Rhode Island 02912, United States
- Department
of Chemistry and Biochemistry University
of South Carolina 631 Sumter Street Columbia, South Carolina 29208, United States
| | - Meredith G. Hastings
- Department
of Earth, Environmental, and Planetary Sciences Brown University 324 Brook Street, Box 1846 Providence, Rhode Island 02912, United States
- Institute
at Brown for Environment and Society Brown
University 85 Waterman St Providence, Rhode Island 02912, United States
| |
Collapse
|
2
|
Li Y, Liu J, George C, Herrmann H, Gu M, Yang M, Wang Y, Mellouki A, Pan Y, Felix JD, Kawashima H, Zhang Z, Wang S, Zeng Y. Apportioning Atmospheric Ammonia Sources across Spatial and Seasonal Scales by Their Isotopic Fingerprint. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:16424-16434. [PMID: 37844023 DOI: 10.1021/acs.est.3c04027] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/18/2023]
Abstract
Mitigating ammonia (NH3) emissions is a significant challenge, given its well-recognized role in the troposphere, contributing to secondary particle formation and impacting acid rain. The difficulty arises from the highly uncertain attribution of atmospheric NH3 to specific emission sources, especially when accounting for diverse environments and varying spatial and temporal scales. In this study, we established a refined δ15N fingerprint for eight emission sources, including three previously overlooked sources of potential importance. We applied this approach in a year-long case study conducted in urban and rural sites located only 40 km apart in the Shandong Peninsula, North China Plain. Our findings highlight that although atmospheric NH3 concentrations and seasonal trends exhibited similarities, their isotopic compositions revealed significant distinctions in the primary NH3 sources. In rural areas, although agriculture emerged as the dominant emission source (64.2 ± 19.5%), a previously underestimated household stove source also played a considerably greater role, particularly during cold seasons (36.5 ± 12.5%). In urban areas, industry and traffic (33.5 ± 15.6%) and, surprisingly, sewage treatment (27.7 ± 11.3%) associated with high population density were identified as the major contributors. Given the relatively short lifetime of atmospheric NH3, our findings highlight the significance of the isotope approach in offering a more comprehensive understanding of localized and seasonal influences of NH3 sources compared to emissions inventories. The refined isotopic fingerprint proves to be an effective tool in distinguishing source contributions across spatial and seasonal scales, thereby providing valuable insights for the development of emission mitigation policies aimed at addressing the increasing NH3 burden on the local atmosphere.
Collapse
Affiliation(s)
- Yongzhi Li
- Sino-French Research Institute for Ecology and Environment, School of Environmental Science and Engineering, Shandong University, Qingdao 266237, China
| | - Jing Liu
- Sino-French Research Institute for Ecology and Environment, School of Environmental Science and Engineering, Shandong University, Qingdao 266237, China
| | - Christian George
- Université Lyon, Université Claude Bernard Lyon 1, CNRS, IRCELYON, Villeurbanne 69626, France
| | - Hartmut Herrmann
- Atmospheric Chemistry Department (ACD), Leibniz-Institute for Tropospheric Research (TROPOS), Leipzig 04318, Germany
- Shandong University Chamber Laboratory, School of Environmental Science and Engineering, Shandong University, Qingdao 266237, China
| | - Mengna Gu
- Sino-French Research Institute for Ecology and Environment, School of Environmental Science and Engineering, Shandong University, Qingdao 266237, China
| | - Muhan Yang
- Sino-French Research Institute for Ecology and Environment, School of Environmental Science and Engineering, Shandong University, Qingdao 266237, China
| | - Yanjun Wang
- Sino-French Research Institute for Ecology and Environment, School of Environmental Science and Engineering, Shandong University, Qingdao 266237, China
| | - Abdelwahid Mellouki
- Institut de Combustion Aérothermique, Réactivité et Environnement (ICARE), Centre National de la Recherche Scientifique (CNRS), Orléans 45071, France
- College of Sustainable Agriculture and Environmental Sciences, Mohammed VI Polytechnic University, Ben Guerir, Rehamna 43150, Morocco
| | - Yuepeng Pan
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Joseph David Felix
- Department of Physical and Environmental Science, Texas A & M University - Corpus Christi, Corpus Christi, Texas 78412, United States
| | - Hiroto Kawashima
- Department of Bioscience and Engineering, College of Systems Engineering and Science, Shibaura Institute of Technology, Saitama 337-8570, Japan
| | - Zhongyi Zhang
- School of Earth and Space Sciences, University of Science and Technology of China, Hefei 230026, China
| | - Shuguang Wang
- Sino-French Research Institute for Ecology and Environment, School of Environmental Science and Engineering, Shandong University, Qingdao 266237, China
| | - Yang Zeng
- Sino-French Research Institute for Ecology and Environment, School of Environmental Science and Engineering, Shandong University, Qingdao 266237, China
| |
Collapse
|
3
|
Bhattarai N, Wang S, Xu Q, Dong Z, Chang X, Jiang Y, Zheng H. Nitrogen isotopes suggest agricultural and non-agricultural sources contribute equally to NH 3 and NH 4+ in urban Beijing during December 2018. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 326:121455. [PMID: 36934964 DOI: 10.1016/j.envpol.2023.121455] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Revised: 03/07/2023] [Accepted: 03/16/2023] [Indexed: 06/18/2023]
Abstract
Agricultural and non-agricultural sources emission contribute to atmospheric ammonia (NH3) and particulate ammonium (NH4+). However, our understanding on the sources of NH3 and NH4+ in PM2.5 (particles smaller than 2.5 μm) during the winter period in the urban atmosphere is limited. Here, we measured the concentrations and stable nitrogen isotopic composition (δ15N) of NH3 and NH4+ in parallel during December 2018 in urban Beijing to assess the non-agricultural and agricultural sources contributions to NH3 and NH4+ in ambient air based on the Chemical Transport Model (CTM), a Bayesian isotope mixing model (SIMMR), and the δ15N signatures that we developed. Our study found weekly NH4+ and NH3 concentrations were on average 2.5 ± 1.4 μg m-3 and 3.8 ± 1.7 μg m-3, respectively during December 2018. Weekly concentration weighted δ15N(NH4+) values ranged from 4.5‰ to 13.7‰ with an average value of 8.2 ± 3.9‰ during December 2018. After accounting for nitrogen isotopic fractionation from NH3 gas to NH4+ conversion, initial δ15N(NH3) values ranged from -22.5‰ to -12.8‰ with an average value of -17.4 ± 3.5‰. Further, weekly measured δ15N(NH3) values ranged from -22.2‰ to -10.2‰ (after correction) with an average value of -15.6 ± 5.3‰ during December 2018. Results from two different isotope-based method showed non-agricultural sources contributed 31.2%-63.1%, with an average value of 47.5 ± 14.6%, to NH4+ and 32.3%-71.2%, with an average of 53.4 ± 16.1%, to ambient NH3 during December 2018 in Beijing. Results from CMAQ-ISAM suggest non-agricultural sources contributed on average 66.2 ± 1.9% to ambient NH4+ and 66.4 ± 1.9% to ambient NH3 during December 2018. Results from this study suggest that agricultural and non-agricultural sources nearly equally contributed to NH3 and NH4+ in urban Beijing during December 2018 with an uncertainty range of 13%-19% between isotope-based methods and CTM method.
Collapse
Affiliation(s)
- Noshan Bhattarai
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing, 100084, China
| | - Shuxiao Wang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing, 100084, China.
| | - Qingcheng Xu
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing, 100084, China
| | - Zhaoxin Dong
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing, 100084, China
| | - Xing Chang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing, 100084, China
| | - Yueqi Jiang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing, 100084, China
| | - Haotian Zheng
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing, 100084, China
| |
Collapse
|
4
|
Gu M, Pan Y, Walters WW, Sun Q, Song L, Wang Y, Xue Y, Fang Y. Vehicular Emissions Enhanced Ammonia Concentrations in Winter Mornings: Insights from Diurnal Nitrogen Isotopic Signatures. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:1578-1585. [PMID: 35050606 DOI: 10.1021/acs.est.1c05884] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
A general feature in the diurnal cycle of atmospheric ammonia (NH3) concentrations is a morning spike that typically occurs around 07:00 to 10:00 (LST). Current hypotheses to explain this morning's NH3 increase remain elusive, and there is still no consensus whether traffic emissions are among the major sources of urban NH3. Here, we confirmed that the NH3 morning pulse in urban Beijing is a universal feature, with an annual occurrence frequency of 73.0% and a rapid growth rate (>20%) in winter. The stable nitrogen isotopic composition of NH3 (δ15N-NH3) in winter also exhibited a significant diurnal variation with an obvious morning peak at 07:00 to 10:00 (-18.6‰, mass-weighted mean), higher than other times of the day (-26.3‰). This diurnal pattern suggests that a large fraction of NH3 in the morning originated from nonagricultural sources, for example, power plants, vehicles, and coal combustion that tend to have higher δ15N-NH3 emission signatures relative to agricultural emissions. In particular, the contribution from vehicular emissions increased from 18% (00:00 to 07:00) to 40% (07:00 to 10:00), while the contribution of fertilizer sources to NH3 was reduced from 15.8% at 00:00 to 07:00 to 5.2% at 07:00 to 10:00. We concluded that NH3 concentrations in winter mornings in urban Beijing were indeed enhanced by vehicle emissions, which should be considered in air pollution regulations.
Collapse
Affiliation(s)
- Mengna Gu
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
- School of Earth and Planetary, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yuepeng Pan
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
- School of Earth and Planetary, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Wendell W Walters
- Department of Earth, Environmental, and Planetary Sciences, Brown University, Providence, Rhode Island 02912, United States
- Institute at Brown for Environment and Society, Brown University, Providence, Rhode Island 02912, United States
| | - Qian Sun
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
- School of Earth and Planetary, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Linlin Song
- School of Earth and Planetary, University of Chinese Academy of Sciences, Beijing 100049, China
- CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China
| | - Yuesi Wang
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Yifeng Xue
- National Engineering Research Center of Urban Environmental Pollution Control, Beijing Municipal Research Institute of Eco-Environmental Protection, Beijing 100037, China
| | - Yunting Fang
- CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China
| |
Collapse
|
5
|
Wu T, Földes T, Lee LT, Wagner DN, Jiang J, Tasoglou A, Boor BE, Blatchley ER. Real-Time Measurements of Gas-Phase Trichloramine (NCl 3) in an Indoor Aquatic Center. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2021; 55:8097-8107. [PMID: 34033479 DOI: 10.1021/acs.est.0c07413] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
NCl3 is formed as a disinfection byproduct in chlorinated swimming pools and can partition between the liquid and gas phases. Exposure to gas-phase NCl3 has been linked to asthma and can irritate the eyes and respiratory airways, thereby affecting the health and athletic performance of swimmers. This study involved an investigation of the spatiotemporal dynamics of gas-phase NCl3 in an aquatic center during a collegiate swim meet. Real-time (up to 1 Hz) measurements of gas-phase NCl3 were made via a novel on-line derivatization cavity ring-down spectrometer and a proton transfer reaction time-of-flight mass spectrometer. Significant temporal variations in gas-phase NCl3 and CO2 concentrations were observed across varying time scales, from seconds to hours. Gas-phase NCl3 concentrations increased with the number of active swimmers due to swimming-enhanced liquid-to-gas transfer of NCl3, with peak concentrations between 116 and 226 ppb. Strong correlations between concentrations of gas-phase NCl3 with concentrations of CO2 and water (relative humidity) were found and attributed to similar features in their physical transport processes in pool air. A vertical gradient in gas-phase NCl3 concentrations was periodically observed above the water surface, demonstrating that swimmers can be exposed to elevated levels of NCl3 beyond those measured in the bulk air.
Collapse
Affiliation(s)
- Tianren Wu
- Lyles School of Civil Engineering, Purdue University, West Lafayette, Indiana 47907, United States
- Ray W. Herrick Laboratories, Center for High Performance Buildings, Purdue University, West Lafayette, Indiana 47907, United States
| | - Tomas Földes
- Aquality Technologies Srl, 1050 Brussels, Belgium
- Spectroscopy, Quantum Chemistry, and Atmospheric Remote Sensing, Université libre de Bruxelles (ULB), 1050 Brussels, Belgium
| | - Lester T Lee
- Lyles School of Civil Engineering, Purdue University, West Lafayette, Indiana 47907, United States
| | - Danielle N Wagner
- Lyles School of Civil Engineering, Purdue University, West Lafayette, Indiana 47907, United States
- Ray W. Herrick Laboratories, Center for High Performance Buildings, Purdue University, West Lafayette, Indiana 47907, United States
| | - Jinglin Jiang
- Lyles School of Civil Engineering, Purdue University, West Lafayette, Indiana 47907, United States
- Ray W. Herrick Laboratories, Center for High Performance Buildings, Purdue University, West Lafayette, Indiana 47907, United States
| | | | - Brandon E Boor
- Lyles School of Civil Engineering, Purdue University, West Lafayette, Indiana 47907, United States
- Ray W. Herrick Laboratories, Center for High Performance Buildings, Purdue University, West Lafayette, Indiana 47907, United States
| | - Ernest R Blatchley
- Lyles School of Civil Engineering, Purdue University, West Lafayette, Indiana 47907, United States
- Division of Environmental and Ecological Engineering, Purdue University, West Lafayette, Indiana 47907, United States
| |
Collapse
|
6
|
Bhattarai N, Wang S, Pan Y, Xu Q, Zhang Y, Chang Y, Fang Y. δ 15N-stable isotope analysis of NH x : An overview on analytical measurements, source sampling and its source apportionment. FRONTIERS OF ENVIRONMENTAL SCIENCE & ENGINEERING 2021; 15:126. [PMID: 33777477 PMCID: PMC7982311 DOI: 10.1007/s11783-021-1414-6] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Revised: 01/28/2021] [Accepted: 01/29/2021] [Indexed: 05/10/2023]
Abstract
Agricultural sources and non-agricultural emissions contribute to gaseous ammonia (NH3) that plays a vital role in severe haze formation. Qualitative and quantitative contributions of these sources to ambient PM2.5 (particulate matter with an aerodynamic equivalent diameter below 2.5 µm) concentrations remains uncertain. Stable nitrogen isotopic composition (δ15N) of NH3 and NH4 + (δ15N(NH3) and δ15N(NH4 +), respectively) can yield valuable information about its sources and associated processes. This review provides an overview of the recent progress in analytical techniques for δ15N(NH3) and δ15N(NH4 +) measurement, sampling of atmospheric NH3 and NH4 + in the ambient air and their sources signature (e.g., agricultural vs. fossil fuel), and isotope-based source apportionment of NH3 in urban atmosphere. This study highlights that collecting sample that are fully representative of emission sources remains a challenge in fingerprinting δ15N(NH3) values of NH3 emission sources. Furthermore, isotopic fractionation during NH3 gas-to-particle conversion under varying ambient field conditions (e.g., relative humidity, particle pH, temperature) remains unclear, which indicates more field and laboratory studies to validate theoretically predicted isotopic fractionation are required. Thus, this study concludes that lack of refined δ15N(NH3) fingerprints and full understanding of isotopic fractionation during aerosol formation in a laboratory and field conditions is a limitation for isotope-based source apportionment of NH3. More experimental work (in chamber studies) and theoretical estimations in combinations of field verification are necessary in characterizing isotopic fractionation under various environmental and atmospheric neutralization conditions, which would help to better interpret isotopic data and our understanding on NH x (NH3 + NH4 +) dynamics in the atmosphere. ELECTRONIC SUPPLEMENTARY MATERIAL Supplementary material is available in the online version of this article at 10.1007/s11783-021-1414-6 and is accessible for authorized users. Supplementary material includes supplementary tables on summary of recent isotope-based source apportionment studies on ambient NH3 derived from δ15N(NH3) values (Table A1); and summary of recent isotope-based source apportionment studies on particulate NH4 + derived from δ15N(NH4 +) values (Table A2).
Collapse
Affiliation(s)
- Noshan Bhattarai
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084 China
- State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing, 100084 China
| | - Shuxiao Wang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084 China
- State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing, 100084 China
| | - Yuepeng Pan
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029 China
| | - Qingcheng Xu
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084 China
- State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing, 100084 China
| | - Yanlin Zhang
- Yale-NUIST Center on Atmospheric Environment, Nanjing University of Information Science & Technology, Nanjing, 210044 China
| | - Yunhua Chang
- Yale-NUIST Center on Atmospheric Environment, Nanjing University of Information Science & Technology, Nanjing, 210044 China
| | - Yunting Fang
- CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, 110016 China
| |
Collapse
|
7
|
Alexa L, Mikuška P. Simultaneous Determination of Gaseous Ammonia and Particulate Ammonium in Ambient Air Using a Cylindrical Wet Effluent Diffusion Denuder and a Continuous Aerosol Sampler. Anal Chem 2020; 92:15827-15836. [PMID: 33237761 DOI: 10.1021/acs.analchem.0c03037] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
A sensitive and fast method for simultaneous determination of gaseous ammonia (NH3) and particulate ammonium (NH4+) in ambient air is presented. NH3 is sampled in a cylindrical wet effluent diffusion denuder (CWEDD) and analyzed online by a continuous flow system with a fluorescence detector (FLD), while NH4+ bound to aerosol particles is sampled in parallel by a condensation growth unit-the aerosol counterflow two-jet unit (CGU-ACTJU) sampler-and analyzed online with another FLD. The sensitive fluorescence detection of ammonium in concentrates of the CWEDD and the ACTJU is based on its reaction with ortho-phthaldialdehyde and sulfite to form isoindol-1-sulfonate. The calibration curve of ammonium is linear in the concentration range of 5 × 10-9 to 2 × 10-6 M. The limit of detection (LOD = 3 s/n) values of NH3 and NH4+ are 3.52 ng m-3 (5.05 ppt) and 1.04 ng m-3, respectively. The developed method enables online measuring of distribution of NH3/NH4+ in ambient air with a time resolution of 1 s. The optimized method was used for the determination of NH3/NH4+ in urban air in Brno in two campaigns during the winter and summer of 2018. The results obtained by the developed method were compared with a reference method based on the sampling on filters and "dry" diffusion denuders coated by phosphoric acid.
Collapse
Affiliation(s)
- Lukáš Alexa
- Institute of Analytical Chemistry of the Czech Academy of Sciences, Veveří 97, 602 00 Brno, Czech Republic
| | - Pavel Mikuška
- Institute of Analytical Chemistry of the Czech Academy of Sciences, Veveří 97, 602 00 Brno, Czech Republic
| |
Collapse
|
8
|
Bhattarai N, Wang S, Xu Q, Dong Z, Chang X, Jiang Y, Zheng H. Sources of gaseous NH 3 in urban Beijing from parallel sampling of NH 3 and NH 4+, their nitrogen isotope measurement and modeling. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 747:141361. [PMID: 32799025 DOI: 10.1016/j.scitotenv.2020.141361] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2020] [Revised: 07/26/2020] [Accepted: 07/27/2020] [Indexed: 05/25/2023]
Abstract
Atmospheric gaseous ammonia (NH3) is the most abundant alkaline gas in the atmosphere while aerosol ammonium (NH4+) constitutes a majority of the inorganic cation concentration in total PM2.5 mass and plays a vital role in severe haze formation. This study tried to shed some light on sources of gaseous NH3 through integrating the parallel measurements of δ15N values in NH4+ and ambient NH3, NH3 source signature measurement, IsoSource model, and chemistry and transport model (CTM). As a result, predicted initial δ15N (NH3) values ranging from -42.0‰ to -4.9‰ were derived from daily δ15N(NH4+) values of fine particulate NH4+, and δ15N(NH3) values ranging from -26.8‰ to -17.2‰ were obtained from weekday/weekend δ15N(NH3) values, respectively. During summer, non-agricultural sources (e.g. fossil fuel sources, urban waste) contributed 63% to ambient NH3 in urban Beijing, derived from δ15N(NH3) values whereas 64% to ambient NH3, derived from δ15N(NH4+) values. These results suggested that non-agricultural sources were main contributors to gaseous NH3 even during summer and agricultural sources were not likely the main source of gaseous NH3 in urban Beijing. To further reduce the uncertainty of isotope-based source apportionment results, more laboratory and field studies are necessary to refine the δ15N(NH3) source profile of NH3 using validated collection technique as overlapping exist between δ15N(NH3) values in agricultural sources such as livestock breeding waste (-42.5‰ to -29.1‰) and fertilizer application (-51.5‰ to -35.0‰).
Collapse
Affiliation(s)
- Noshan Bhattarai
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Shuxiao Wang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China.
| | - Qingcheng Xu
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Zhaoxin Dong
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Xing Chang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Yueqi Jiang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Haotian Zheng
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| |
Collapse
|