1
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Li Y, Sidikjan N, Huang L, Chen Y, Zhang Y, Li Y, Yang J, Shen G, Liu M, Huang Y. Multi-media environmental fate of polychlorinated dibenzo-p-dioxins and dibenzofurans in China: A systematic review of emissions, presence, transport modeling and health risks. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 362:124970. [PMID: 39284404 DOI: 10.1016/j.envpol.2024.124970] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2024] [Revised: 09/12/2024] [Accepted: 09/13/2024] [Indexed: 09/20/2024]
Abstract
Polychlorinated dibenzo-p-dioxins and polychlorinated dibenzofurans (PCDD/Fs) are notorious persistent organic pollutants (POPs) with proven toxicity to human and ecosystems. This review critically evaluates existing research, emphasizing knowledge gaps regarding PCDD/F emissions, environmental behavior, human exposure, and associated risks in China. The current emission inventory of PCDD/Fs in China remains highly uncertain, both in terms of total emissions and emission trends. Moreover, existing monitoring data primarily focus on areas near pollution sources, limiting comprehensive understanding of the overall spatiotemporal characteristics of PCDD/F pollution. To address this, we propose a novel approach that integrates the Multi-media Urban Mode (MUM) model with an atmospheric chemical transport model that includes a dual adsorption model to capture gas-particle partitioning of PCDD/Fs in the atmosphere. This coupled model can simulate the transport and fate of PCDD/Fs in multi-media environments with high spatiotemporal resolution, facilitating a nuanced understanding of the impacts of emissions, climate, urbanization and other factors on PCDD/F pollution. Additionally, dietary ingestion, particularly from animal-derived foods, is identified as the predominant source (up to 98%) of human exposure to PCDD/Fs. While the changes in dietary structure, population distribution, and age structure can influence human exposure to PCDD/Fs, their impacts have not yet been quantified. The proposed model lays the foundation for a systematic assessment of health risks from PCDD/F exposure through various pathways by further incorporating a food chain model. Overall, this review offers a comprehensive strategy for assessing PCDD/F pollution, encompassing the entire continuum from emissions to environmental impacts.
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Affiliation(s)
- Ying Li
- Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographical Sciences, East China Normal University, 200241, Shanghai, China
| | - Nazupar Sidikjan
- Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographical Sciences, East China Normal University, 200241, Shanghai, China
| | - Lin Huang
- Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographical Sciences, East China Normal University, 200241, Shanghai, China
| | - Yangmin Chen
- Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographical Sciences, East China Normal University, 200241, Shanghai, China
| | - Yunshan Zhang
- Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographical Sciences, East China Normal University, 200241, Shanghai, China
| | - Ye Li
- Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographical Sciences, East China Normal University, 200241, Shanghai, China
| | - Jing Yang
- Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographical Sciences, East China Normal University, 200241, Shanghai, China
| | - Guofeng Shen
- Laboratory of Earth Surface Processes, College of Urban and Environmental Science, Peking University, Beijing, 100871, China
| | - Min Liu
- Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographical Sciences, East China Normal University, 200241, Shanghai, China
| | - Ye Huang
- Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographical Sciences, East China Normal University, 200241, Shanghai, China.
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2
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Strezov V, Zhou X, Evans T, Kan T, Taylor MP. Investigation of the effect of chlorine in different additives on dioxin formation during high temperature processing of iron ore. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 288:117406. [PMID: 39603225 DOI: 10.1016/j.ecoenv.2024.117406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2024] [Revised: 11/22/2024] [Accepted: 11/22/2024] [Indexed: 11/29/2024]
Abstract
Ironmaking can have an important role in the circular economy by utilising alternative carbon bearing materials, which are otherwise of low value in use or landfilled. Biomass and plastic wastes have been proposed as alternatives for coke and coal in sintering, blast furnace ironmaking and direct iron ore reduction processes. However, introduction of the alternative carbon sources with higher chlorine contents may influence the formation of some pollutants, most notably, dioxins. This study investigated the effects of carbon bearing materials, i.e., coke, biomass and polyvinyl chloride (PVC), on formation of polychlorinated dibenzo-p-dioxins (PCDDs), polychlorinated dibenzofurans (PCDFs) and polychlorinated biphenyls (PCBs) during high temperature processing of iron ore. The effect of copper (Cu) as a known dioxin synthesis catalyst, on formation of the dioxins was also investigated. The study found an exponential increasing relationship between the chlorine content in the fuel source and the dioxin emissions. The addition of both biomass and PVC materials contributed to significantly increased dioxin formation, especially for the case of plastics. PCBs had higher concentrations than PCDD/Fs in all cases except when CuCl2 was added due to its catalytic properties to synthesise PCDD/Fs. PCDF concentrations far outweighed the PCDDs, suggesting that de novo reaction mechanism, where carbon particles are oxidised by a transition metal in presence of chlorine, dominated the formation of the dioxins in the process.
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Affiliation(s)
- Vladimir Strezov
- School of Natural Sciences, Faculty of Science and Engineering, Macquarie University, NSW 2109, Australia.
| | - Xiaoteng Zhou
- School of Natural Sciences, Faculty of Science and Engineering, Macquarie University, NSW 2109, Australia
| | - Tim Evans
- School of Natural Sciences, Faculty of Science and Engineering, Macquarie University, NSW 2109, Australia
| | - Tao Kan
- School of Natural Sciences, Faculty of Science and Engineering, Macquarie University, NSW 2109, Australia; CSIRO Mineral Resources, Clayton, VIC 3168, Australia
| | - Mark Patrick Taylor
- School of Natural Sciences, Faculty of Science and Engineering, Macquarie University, NSW 2109, Australia; Environment Protection Authority Victoria, Centre for Applied Sciences, Ernest Jones Drive, Macleod, Melbourne, VIC 3085, Australia
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3
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Zhang J, Shen H, Chen Y, Meng J, Li J, He J, Guo P, Dai R, Zhang Y, Xu R, Wang J, Zheng S, Lei T, Shen G, Wang C, Ye J, Zhu L, Sun HZ, Fu TM, Yang X, Guan D, Tao S. Iron and Steel Industry Emissions: A Global Analysis of Trends and Drivers. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:16477-16488. [PMID: 37867432 PMCID: PMC10621597 DOI: 10.1021/acs.est.3c05474] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 10/06/2023] [Accepted: 10/10/2023] [Indexed: 10/24/2023]
Abstract
The iron and steel industry (ISI) is important for socio-economic progress but emits greenhouse gases and air pollutants detrimental to climate and human health. Understanding its historical emission trends and drivers is crucial for future warming and pollution interventions. Here, we offer an exhaustive analysis of global ISI emissions over the past 60 years, forecasting up to 2050. We evaluate emissions of carbon dioxide and conventional and unconventional air pollutants, including heavy metals and polychlorinated dibenzodioxins and dibenzofurans. Based on this newly established inventory, we dissect the determinants of past emission trends and future trajectories. Results show varied trends for different pollutants. Specifically, PM2.5 emissions decreased consistently during the period 1970 to 2000, attributed to adoption of advanced production technologies. Conversely, NOx and SO2 began declining recently due to stringent controls in major contributors such as China, a trend expected to persist. Currently, end-of-pipe abatement technologies are key to PM2.5 reduction, whereas process modifications are central to CO2 mitigation. Projections suggest that by 2050, developing nations (excluding China) will contribute 52-54% of global ISI PM2.5 emissions, a rise from 29% in 2019. Long-term emission curtailment will necessitate the innovation and widespread adoption of new production and abatement technologies in emerging economies worldwide.
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Affiliation(s)
- Jinjian Zhang
- Guangdong
Provincial Observation and Research Station for Coastal Atmosphere
and Climate of the Greater Bay Area, School of Environmental Science
and Engineering, Southern University of
Science and Technology, Shenzhen 518055, China
- Shenzhen
Key Laboratory of Precision Measurement and Early Warning Technology
for Urban Environmental Health Risks, School of Environmental Science
and Engineering, Southern University of
Science and Technology, Shenzhen 518055, China
| | - Huizhong Shen
- Guangdong
Provincial Observation and Research Station for Coastal Atmosphere
and Climate of the Greater Bay Area, School of Environmental Science
and Engineering, Southern University of
Science and Technology, Shenzhen 518055, China
- Shenzhen
Key Laboratory of Precision Measurement and Early Warning Technology
for Urban Environmental Health Risks, School of Environmental Science
and Engineering, Southern University of
Science and Technology, Shenzhen 518055, China
| | - Yilin Chen
- Guangdong
Provincial Observation and Research Station for Coastal Atmosphere
and Climate of the Greater Bay Area, School of Environmental Science
and Engineering, Southern University of
Science and Technology, Shenzhen 518055, China
- Shenzhen
Key Laboratory of Precision Measurement and Early Warning Technology
for Urban Environmental Health Risks, School of Environmental Science
and Engineering, Southern University of
Science and Technology, Shenzhen 518055, China
- School
of Urban Planning and Design, Peking University, Shenzhen Graduate School, Shenzhen 518055, China
| | - Jing Meng
- The
Bartlett School of Sustainable Construction, University College London, London WC1E 7HB, U.K.
| | - Jin Li
- College
of Urban and Environmental Sciences, Peking
University, Beijing 100871, China
| | - Jinling He
- Guangdong
Provincial Observation and Research Station for Coastal Atmosphere
and Climate of the Greater Bay Area, School of Environmental Science
and Engineering, Southern University of
Science and Technology, Shenzhen 518055, China
- Shenzhen
Key Laboratory of Precision Measurement and Early Warning Technology
for Urban Environmental Health Risks, School of Environmental Science
and Engineering, Southern University of
Science and Technology, Shenzhen 518055, China
| | - Peng Guo
- Guangdong
Provincial Observation and Research Station for Coastal Atmosphere
and Climate of the Greater Bay Area, School of Environmental Science
and Engineering, Southern University of
Science and Technology, Shenzhen 518055, China
- Shenzhen
Key Laboratory of Precision Measurement and Early Warning Technology
for Urban Environmental Health Risks, School of Environmental Science
and Engineering, Southern University of
Science and Technology, Shenzhen 518055, China
| | - Rong Dai
- College
of Urban and Environmental Sciences, Peking
University, Beijing 100871, China
| | - Yuanzheng Zhang
- College
of Urban and Environmental Sciences, Peking
University, Beijing 100871, China
| | - Ruibin Xu
- Guangdong
Provincial Observation and Research Station for Coastal Atmosphere
and Climate of the Greater Bay Area, School of Environmental Science
and Engineering, Southern University of
Science and Technology, Shenzhen 518055, China
- Shenzhen
Key Laboratory of Precision Measurement and Early Warning Technology
for Urban Environmental Health Risks, School of Environmental Science
and Engineering, Southern University of
Science and Technology, Shenzhen 518055, China
| | - Jinghang Wang
- College
of Urban and Environmental Sciences, Peking
University, Beijing 100871, China
| | - Shuxiu Zheng
- College
of Urban and Environmental Sciences, Peking
University, Beijing 100871, China
| | - Tianyang Lei
- Department
of Earth System Sciences, Tsinghua University, Beijing 100080, China
| | - Guofeng Shen
- College
of Urban and Environmental Sciences, Peking
University, Beijing 100871, China
| | - Chen Wang
- Guangdong
Provincial Observation and Research Station for Coastal Atmosphere
and Climate of the Greater Bay Area, School of Environmental Science
and Engineering, Southern University of
Science and Technology, Shenzhen 518055, China
- Shenzhen
Key Laboratory of Precision Measurement and Early Warning Technology
for Urban Environmental Health Risks, School of Environmental Science
and Engineering, Southern University of
Science and Technology, Shenzhen 518055, China
| | - Jianhuai Ye
- Guangdong
Provincial Observation and Research Station for Coastal Atmosphere
and Climate of the Greater Bay Area, School of Environmental Science
and Engineering, Southern University of
Science and Technology, Shenzhen 518055, China
- Shenzhen
Key Laboratory of Precision Measurement and Early Warning Technology
for Urban Environmental Health Risks, School of Environmental Science
and Engineering, Southern University of
Science and Technology, Shenzhen 518055, China
| | - Lei Zhu
- Guangdong
Provincial Observation and Research Station for Coastal Atmosphere
and Climate of the Greater Bay Area, School of Environmental Science
and Engineering, Southern University of
Science and Technology, Shenzhen 518055, China
- Shenzhen
Key Laboratory of Precision Measurement and Early Warning Technology
for Urban Environmental Health Risks, School of Environmental Science
and Engineering, Southern University of
Science and Technology, Shenzhen 518055, China
| | - Haitong Zhe Sun
- Centre
for Atmospheric Science, Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge CB2 1 EW, U.K.
| | - Tzung-May Fu
- Guangdong
Provincial Observation and Research Station for Coastal Atmosphere
and Climate of the Greater Bay Area, School of Environmental Science
and Engineering, Southern University of
Science and Technology, Shenzhen 518055, China
- Shenzhen
Key Laboratory of Precision Measurement and Early Warning Technology
for Urban Environmental Health Risks, School of Environmental Science
and Engineering, Southern University of
Science and Technology, Shenzhen 518055, China
| | - Xin Yang
- Guangdong
Provincial Observation and Research Station for Coastal Atmosphere
and Climate of the Greater Bay Area, School of Environmental Science
and Engineering, Southern University of
Science and Technology, Shenzhen 518055, China
- Shenzhen
Key Laboratory of Precision Measurement and Early Warning Technology
for Urban Environmental Health Risks, School of Environmental Science
and Engineering, Southern University of
Science and Technology, Shenzhen 518055, China
| | - Dabo Guan
- Department
of Earth System Sciences, Tsinghua University, Beijing 100080, China
| | - Shu Tao
- Guangdong
Provincial Observation and Research Station for Coastal Atmosphere
and Climate of the Greater Bay Area, School of Environmental Science
and Engineering, Southern University of
Science and Technology, Shenzhen 518055, China
- Shenzhen
Key Laboratory of Precision Measurement and Early Warning Technology
for Urban Environmental Health Risks, School of Environmental Science
and Engineering, Southern University of
Science and Technology, Shenzhen 518055, China
- College
of Urban and Environmental Sciences, Peking
University, Beijing 100871, China
- Institute
of Carbon Neutrality, Peking University, Beijing 100871, China
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4
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Song S, Chen K, Huang T, Ma J, Wang J, Mao X, Gao H, Zhao Y, Zhou Z. New emission inventory reveals termination of global dioxin declining trend. JOURNAL OF HAZARDOUS MATERIALS 2023; 443:130357. [PMID: 36444062 DOI: 10.1016/j.jhazmat.2022.130357] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Revised: 09/26/2022] [Accepted: 11/07/2022] [Indexed: 06/16/2023]
Abstract
Accurate estimates of spatiotemporally resolved Polychlorinated dibenzo-p-dioxins (PCDD/Fs, or dioxins) emissions are critical for understanding their environmental fate and associated health risks. In this study, by utilizing an empirical regression model for PCDD/Fs emissions, we developed a global emission inventory for 17 toxic PCDD/Fs congeners from 8 source sectors with a spatial resolution of 1° × 1° from 2002 to 2018. The results show that PCDD/Fs emissions decreased by 25.7 % (12.5 kg TEQ) between 2002 and 2018, mostly occurring in upper- and lower-middle income countries. Globally, open-burning processes, waste incineration, ferrous and nonferrous metal production sectors and heat and power generation were the major source sectors of PCDD/Fs. Spatially, high PCDD/Fs emissions were mainly identified in East and South Asia, Southeast Asia, and part of Sub-Saharan Africa. We find that the declining trend of dioxin emissions over the past decades terminated from the early 2010s due to increasing significance of wildfire induced emissions in the total emission. The PCDD/Fs emission inventory developed in the present study was verified by inputting the inventory as initial conditions into an atmospheric transport model, the Canadian Model for Environmental Transport of Organochlorine Pesticides (CanMETOP), to simulate PCDD/Fs concentrations in air and soil. The predicted concentrations were compared to field sampling data. The good agreement between the modeled and measured concentrations demonstrates the reliability of the inventory.
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Affiliation(s)
- Shijie Song
- Key Laboratory for Environmental Pollution Prediction and Control, Gansu Province, Key Laboratory of Western China's Environmental Systems Stems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, PR China
| | - Kaijie Chen
- Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, PR China
| | - Tao Huang
- Key Laboratory for Environmental Pollution Prediction and Control, Gansu Province, Key Laboratory of Western China's Environmental Systems Stems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, PR China.
| | - Jianmin Ma
- Key Laboratory for Environmental Pollution Prediction and Control, Gansu Province, Key Laboratory of Western China's Environmental Systems Stems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, PR China; Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, PR China
| | - Jiaxin Wang
- Key Laboratory for Environmental Pollution Prediction and Control, Gansu Province, Key Laboratory of Western China's Environmental Systems Stems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, PR China
| | - Xiaoxuan Mao
- Key Laboratory for Environmental Pollution Prediction and Control, Gansu Province, Key Laboratory of Western China's Environmental Systems Stems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, PR China
| | - Hong Gao
- Key Laboratory for Environmental Pollution Prediction and Control, Gansu Province, Key Laboratory of Western China's Environmental Systems Stems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, PR China
| | - Yuan Zhao
- Key Laboratory for Environmental Pollution Prediction and Control, Gansu Province, Key Laboratory of Western China's Environmental Systems Stems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, PR China
| | - Zhifang Zhou
- College of Petrochemical Technology, Lanzhou University of Technology, Lanzhou 730050, PR China
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5
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Influence of iron ore properties on dioxin emissions during iron ore sintering. Sci Rep 2022; 12:21080. [PMID: 36473951 PMCID: PMC9726927 DOI: 10.1038/s41598-022-25752-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 12/05/2022] [Indexed: 12/12/2022] Open
Abstract
Iron ores are principal input materials for iron and steel-making industries. Quality of iron ores is one of the critical parameters for formation of environmental pollutants related to the steel-making process. Dioxins are identified as one of the most toxic pollutants emitted during ironmaking, specifically during the sintering process. This study applied four types of iron ores and analyzed their moisture, density, particle size distribution and element concentrations to investigate their effect on the dioxin formation during sintering. Each type of iron ore was processed in a sinter pot grate. During each processing route, exhausted dust and generated sinter products were collected and subjected to PCDD/F and PCB analysis. Statistical analysis was applied to assess correlations between properties of iron ores and exhausted dioxin emissions, identifying key contributors to dioxin formation during sintering process. Results showed that Fe in iron ores was positively and significantly related to PCB 114 formation in dust and confirmed its co-catalytic effect on dioxin formation. Concentrations of Al, Ti and Cl in iron ores greatly increased PCDD/F and PCB emissions in the sintered products compared to dioxins in dust samples. The S levels and density of iron ores were highly related to the increasing PCDD/F and PCB emissions in both sinter and dust samples. By contrast, concentrations of Si in iron ores played a significant role in decreasing PCDD/F and PCB emissions in both sinter and dust samples. This study also confirmed the optimum size (< 1 mm-2.59 mm) for iron ores, which helps reduce dioxin emissions without affecting the quality of iron and steel-making products.
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6
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Wei J, Li H, Liu J. Curbing dioxin emissions from municipal solid waste incineration: China's action and global share. JOURNAL OF HAZARDOUS MATERIALS 2022; 435:129076. [PMID: 35650750 DOI: 10.1016/j.jhazmat.2022.129076] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Revised: 03/30/2022] [Accepted: 05/02/2022] [Indexed: 06/15/2023]
Abstract
China generates the world's second-largest amount of municipal solid waste (MSW) and incinerates the largest quantity of MSW. However, data on the latest dioxin emissions from MSW incineration (MSWI) and the related global share were lacking. In the context of MSW classification, distinguishing the long-term MSW generation and incineration quantity, and dioxin emissions was necessary for macro-control and policy-making by the Chinese Government. By considering population size and GDP per capita, China's MSW generation toward 2050 was projected based on Monte Carlo simulation. Moreover, dioxin emission factors were also assumed based on the diffusion rate of four grades of air pollution control devices (APCDs). Finally, we show that the quantity of China's MSW generation in 2050 will be 363.50 million tonnes (Mt) with 341.06-382.45 Mt of 75% certainty. China's dioxin emissions from MSWI were approximately 15.46 g I-TEQ in 2019, which accounted for 26.1% of total emissions from global MSWI. We discuss dioxin emission reduction scenarios depending on MSW diversion and APCD upgrades. China's dioxin emissions will be 70.38 g I-TEQ for the business-as-usual scenario, and the dioxin emissions will be 9.29 g I-TEQ (within the range of 8.88-9.64 g I-TEQ) for the optimal scenario in 2050. Moreover, in 2050, the APCD diffusion rate will account for 98.8% of the sensitivity of dioxin emissions from China's MSWI. According to the assumed scenarios, there is a dioxin emission reduction potential of 18.6% and 86.8% in 2050 by MSW diversion alone and maximum APCD upgrades combined with food waste diversion, respectively.
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Affiliation(s)
- Junxiao Wei
- Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
| | - Huan Li
- Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.
| | - Jianguo Liu
- Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China; School of Environment, Tsinghua University, Beijing 100084, China.
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7
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Zhang C, Bai L, Yao Q, Li J, Wang H, Shen L, Sippula O, Yang J, Zhao J, Liu J, Wang B. Emission characteristics of polychlorinated dibenzo-p-dioxins and dibenzofurans from industrial combustion of biomass fuels. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 292:118265. [PMID: 34601032 DOI: 10.1016/j.envpol.2021.118265] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Revised: 09/24/2021] [Accepted: 09/29/2021] [Indexed: 06/13/2023]
Abstract
Although biomass fuel has always been regarded as a source of sustainable energy, it potentially emits polychlorinated dibenzo-p-dioxins and dibenzofurans (PCDD/Fs). This study investigated PCDD/F emissions from industrial boilers fired with three types of biomass fuel (i.e., bagasse, coffee residue, and biomass pellets) via stack sampling and laboratory analysis. The measured mass concentrations of PCDD/Fs varied among the boilers from 0.0491 to 12.7 ng Nm-3 (11% O2), with the calculated average international toxic equivalent quantity (I-TEQ) from 0.00195 to 1.71 ng I-TEQ Nm-3 (11% O2). Some of them were beyond the limit value for municipal waste incineration. 2,3,4,7,8-PeCDF could be used as a good indicator of dioxin-induced toxicity of stack flue gases from biomass-fired boilers. The PCDFs/PCDDs ratios were more than 1, likely indicating the formation of dioxins in the boilers favored by de novo synthesis. The emission factor (EF) of total PCDD/Fs averaged 5.35 ng I-TEQ kg-1 air-dry biomass (equivalent to 39.0 ng kg-1 air-dry biomass). Specifically, the mean EF was 6.94 ng I-TEQ kg-1 (52.6 ng kg-1) for biomass-pellet-fired boiler, 11.8 ng I-TEQ kg-1 (74.6 ng kg-1) for coffee-residue -fired boiler, and 0.0277 ng I-TEQ kg-1 (0.489 ng kg-1) for bagasse-fired boilers. The annual PCDD/F emission was estimated to be 208 g I-TEQ in 2020 in China, accounting for approximately 2% of the total national annual emission of PCDD/Fs. The results can be used to develop PCDD/Fs emission inventories and offer valuable insights to authorities regarding utilizing biomass in industry in the future.
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Affiliation(s)
- Chunlin Zhang
- Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China; Australia-China Centre for Air Quality Science and Management (Guangdong), Guangzhou, 511443, China; Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, 511443, China
| | - Li Bai
- Guangdong Ecological Environmental Monitoring Center, Guangzhou, 510308, China
| | - Qian Yao
- Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China
| | - Jiangyong Li
- Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China
| | - Hao Wang
- Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China; Australia-China Centre for Air Quality Science and Management (Guangdong), Guangzhou, 511443, China; Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, 511443, China.
| | - Liran Shen
- Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China; Guangdong Ecological Environmental Monitoring Center, Guangzhou, 510308, China
| | - Olli Sippula
- Australia-China Centre for Air Quality Science and Management (Guangdong), Guangzhou, 511443, China; Department of Environmental and Biological Sciences, University of Eastern Finland, P.O. Box 1627, Kuopio, FI-70211, Finland; Department of Chemistry, University of Eastern Finland, P.O. Box 111, FI-80101, Joensuu, Finland
| | - Jun Yang
- Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China; Australia-China Centre for Air Quality Science and Management (Guangdong), Guangzhou, 511443, China; Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, 511443, China
| | - Jinping Zhao
- Guangdong Ecological Environmental Monitoring Center, Guangzhou, 510308, China
| | - Jun Liu
- Guangdong Ecological Environmental Monitoring Center, Guangzhou, 510308, China
| | - Boguang Wang
- Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China; Australia-China Centre for Air Quality Science and Management (Guangdong), Guangzhou, 511443, China; Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, 511443, China
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8
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Maharjan CK, Mo J, Wang L, Kim MC, Wang S, Borcherding N, Vikas P, Zhang W. Natural and Synthetic Estrogens in Chronic Inflammation and Breast Cancer. Cancers (Basel) 2021; 14:cancers14010206. [PMID: 35008370 PMCID: PMC8744660 DOI: 10.3390/cancers14010206] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Revised: 12/17/2021] [Accepted: 12/19/2021] [Indexed: 12/17/2022] Open
Abstract
The oncogenic role of estrogen receptor (ER) signaling in breast cancer has long been established. Interaction of estrogen with estrogen receptor (ER) in the nucleus activates genomic pathways of estrogen signaling. In contrast, estrogen interaction with the cell membrane-bound G-protein-coupled estrogen receptor (GPER) activates the rapid receptor-mediated signaling transduction cascades. Aberrant estrogen signaling enhances mammary epithelial cell proliferation, survival, and angiogenesis, hence is an important step towards breast cancer initiation and progression. Meanwhile, a growing number of studies also provide evidence for estrogen's pro- or anti-inflammatory roles. As other articles in this issue cover classic ER and GPER signaling mediated by estrogen, this review will discuss the crucial mechanisms by which estrogen signaling influences chronic inflammation and how that is involved in breast cancer. Xenoestrogens acquired from plant diet or exposure to industrial products constantly interact with and alter innate estrogen signaling at various levels. As such, they can modulate chronic inflammation and breast cancer development. Natural xenoestrogens generally have anti-inflammatory properties, which is consistent with their chemoprotective role in breast cancer. In contrast, synthetic xenoestrogens are proinflammatory and carcinogenic compounds that can increase the risk of breast cancer. This article also highlights important xenoestrogens with a particular focus on their role in inflammation and breast cancer. Improved understanding of the complex relationship between estrogens, inflammation, and breast cancer will guide clinical research on agents that could advance breast cancer prevention and therapy.
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Affiliation(s)
- Chandra K. Maharjan
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, FL 32610, USA; (C.K.M.); (J.M.); (L.W.); (M.-C.K.)
| | - Jiao Mo
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, FL 32610, USA; (C.K.M.); (J.M.); (L.W.); (M.-C.K.)
| | - Lei Wang
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, FL 32610, USA; (C.K.M.); (J.M.); (L.W.); (M.-C.K.)
| | - Myung-Chul Kim
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, FL 32610, USA; (C.K.M.); (J.M.); (L.W.); (M.-C.K.)
| | - Sameul Wang
- Canyonoak Consulting LLC, San Diego, CA 92127, USA;
| | - Nicholas Borcherding
- Department of Pathology and Immunology, School of Medicine, Washington University, St. Louis, MO 63110, USA;
| | - Praveen Vikas
- Department of Internal Medicine, Carver College of Medicine, Iowa City, IA 52242, USA;
| | - Weizhou Zhang
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, FL 32610, USA; (C.K.M.); (J.M.); (L.W.); (M.-C.K.)
- Mechanism of Oncogenesis Program, University of Florida Health Cancer Center, University of Florida, Gainesville, FL 32610, USA
- Correspondence: to: ; Tel.: +1-352-273-6748
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Eve L, Fervers B, Le Romancer M, Etienne-Selloum N. Exposure to Endocrine Disrupting Chemicals and Risk of Breast Cancer. Int J Mol Sci 2020; 21:E9139. [PMID: 33266302 PMCID: PMC7731339 DOI: 10.3390/ijms21239139] [Citation(s) in RCA: 50] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Revised: 11/23/2020] [Accepted: 11/25/2020] [Indexed: 02/07/2023] Open
Abstract
Breast cancer (BC) is the second most common cancer and the fifth deadliest in the world. Exposure to endocrine disrupting pollutants has been suggested to contribute to the increase in disease incidence. Indeed, a growing number of researchershave investigated the effects of widely used environmental chemicals with endocrine disrupting properties on BC development in experimental (in vitro and animal models) and epidemiological studies. The complex effects of endocrine disrupting chemicals (EDCs) on hormonal pathways, involving carcinogenic effects and an increase in mammary gland susceptibility to carcinogenesis-together with the specific characteristics of the mammary gland evolving over the course of life and the multifactorial etiology of BC-make the evaluation of these compounds a complex issue. Among the many EDCs suspected of increasing the risk of BC, strong evidence has only been provided for few EDCs including diethylstilbestrol, dichlorodiphenyltrichloroethane, dioxins and bisphenol A. However, given the ubiquitous nature and massive use of EDCs, it is essential to continue to assess their long-term health effects, particularly on carcinogenesis, to eradicate the worst of them and to sensitize the population to minimize their use.
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Affiliation(s)
- Louisane Eve
- Faculté de Pharmacie, Université de Strasbourg, F-67000 Strasbourg, France;
- Université Claude Bernard Lyon 1, F-69000 Lyon, France
- Inserm U1052, Centre de Recherche en Cancérologie de Lyon, F-69000 Lyon, France
- CNRS UMR5286, Centre de Recherche en Cancérologie de Lyon, F-69000 Lyon, France
| | - Béatrice Fervers
- Centre de Lutte Contre le Cancer Léon-Bérard, F-69000 Lyon, France;
- Inserm UA08, Radiations, Défense, Santé, Environnement, Center Léon Bérard, F-69000 Lyon, France
| | - Muriel Le Romancer
- Université Claude Bernard Lyon 1, F-69000 Lyon, France
- Inserm U1052, Centre de Recherche en Cancérologie de Lyon, F-69000 Lyon, France
- CNRS UMR5286, Centre de Recherche en Cancérologie de Lyon, F-69000 Lyon, France
| | - Nelly Etienne-Selloum
- Faculté de Pharmacie, Université de Strasbourg, F-67000 Strasbourg, France;
- Service de Pharmacie, Institut de Cancérologie Strasbourg Europe, F-67000 Strasbourg, France
- CNRS UMR7021/Unistra, Laboratoire de Bioimagerie et Pathologies, Faculté de Pharmacie, Université de Strasbourg, F-67000 Strasbourg, France
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Trends of Polychlorinated Compounds in the Surroundings of a Municipal Solid Waste Incinerator in Mataró (Catalonia, Spain): Assessing Health Risks. TOXICS 2020; 8:toxics8040111. [PMID: 33266363 PMCID: PMC7712533 DOI: 10.3390/toxics8040111] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Revised: 11/17/2020] [Accepted: 11/19/2020] [Indexed: 12/05/2022]
Abstract
Since 2008, the environmental levels of polychlorinated compounds near a municipal solid waste incinerator in Mataró (Catalonia, Spain) have been periodically monitored. The present study aimed at updating the data regarding the temporal changes occurred between 2015 and 2017, when air and soil samples were collected again, and the concentrations of the same chemical pollutants (i.e., polychlorinated dibenzo-p-dioxins and dibenzofurans (PCDD/Fs), and polychlorinated biphenyls (PCBs)) were analysed. Furthermore, the health risks associated with their human exposure were also evaluated. The levels of all the contaminants in soil were far below the threshold established by regional and national legislations, also being lower than those observed in previous surveys. A similar trend was also noted for PCDD/Fs in air samples, while airborne PCBs were the only group of chemicals whose levels significantly increased. In any case, the global assessment of the data regarding the different pollutants and matrices indicates that there has not been a general increase in the environmental pollution around the facility. In addition, the environmental exposure to PCDD/Fs and PCBs by the population living nearby is still clearly lower than the dietary intake of these same chemical pollutants.
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