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Liu Q, Niu Y, Pei Z, Yang Y, Xie Y, Wang M, Wang J, Wu M, Zheng J, Yang P, Hao H, Pang Y, Bao L, Dai Y, Niu Y, Zhang R. Gas6-Axl signal promotes indoor VOCs exposure-induced pulmonary fibrosis via pulmonary microvascular endothelial cells-fibroblasts cross-talk. JOURNAL OF HAZARDOUS MATERIALS 2024; 474:134786. [PMID: 38824778 DOI: 10.1016/j.jhazmat.2024.134786] [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: 03/22/2024] [Revised: 05/14/2024] [Accepted: 05/30/2024] [Indexed: 06/04/2024]
Abstract
Volatile organic compounds (VOCs) as environmental pollutants were associated with respiratory diseases. Pulmonary fibrosis (PF) was characterized by an increase of extracellular matrix, leading to deterioration of lung function. The adverse effects on lung and the potential mechanism underlying VOCs induced PF had not been elucidated clearly. In this study, the indoor VOCs exposure mouse model along with an ex vivo biosensor assay was established. Based on scRNA-seq analysis, the adverse effects on lung and potential molecular mechanism were studied. Herein, the results showed that VOCs exposure from indoor decoration contributed to decreased lung function and facilitated pulmonary fibrosis in mice. Then, the whole lung cell atlas after VOCs exposure and the heterogeneity of fibroblasts were revealed. We explored the molecular interactions among various pulmonary cells, suggesting that endothelial cells contributed to fibroblasts activation in response to VOCs exposure. Mechanistically, pulmonary microvascular endothelial cells (MPVECs) secreted Gas6 after VOCs-induced PANoptosis phenotype, bound to the Axl in fibroblasts, and then activated fibroblasts. Moreover, Atf3 as the key gene negatively regulated PANoptosis phenotype to ameliorate fibrosis induced by VOCs exposure. These novel findings provided a new perspective about MPVECs could serve as the initiating factor of PF induced by VOCs exposure.
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Affiliation(s)
- Qingping Liu
- Department of Toxicology, Hebei Medical University, Shijiazhuang 050017, Hebei, PR China
| | - Yong Niu
- Key Laboratory of Chemical Safety and Health, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Zijie Pei
- Department of Thoracic Surgery, the 2nd Hospital of Hebei Medical University, Shijiazhuang 050017, PR China
| | - Yizhe Yang
- Department of Toxicology, Hebei Medical University, Shijiazhuang 050017, Hebei, PR China
| | - Yujia Xie
- Department of Toxicology, Hebei Medical University, Shijiazhuang 050017, Hebei, PR China
| | - Mengruo Wang
- Department of Toxicology, Hebei Medical University, Shijiazhuang 050017, Hebei, PR China
| | - Jingyuan Wang
- Department of Toxicology, Hebei Medical University, Shijiazhuang 050017, Hebei, PR China
| | - Mengqi Wu
- Department of Toxicology, Hebei Medical University, Shijiazhuang 050017, Hebei, PR China
| | - Jie Zheng
- Department of Toxicology, Hebei Medical University, Shijiazhuang 050017, Hebei, PR China
| | - Peihao Yang
- Department of Toxicology, Hebei Medical University, Shijiazhuang 050017, Hebei, PR China
| | - Haiyan Hao
- Department of Toxicology, Hebei Medical University, Shijiazhuang 050017, Hebei, PR China; Hebei Province Center for Disease Control and Prevention, Shijiazhuang 050021, Hebei, PR China
| | - Yaxian Pang
- Department of Toxicology, Hebei Medical University, Shijiazhuang 050017, Hebei, PR China; Hebei Key Laboratory of Environment and Human Health, Hebei Medical University, Shijiazhuang 050017, Hebei, PR China
| | - Lei Bao
- Hebei Key Laboratory of Environment and Human Health, Hebei Medical University, Shijiazhuang 050017, Hebei, PR China; Occupational Health and Environmental Health, Hebei Medical University, Shijiazhuang 050017, Hebei, PR China
| | - Yufei Dai
- Key Laboratory of Chemical Safety and Health, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Yujie Niu
- Hebei Key Laboratory of Environment and Human Health, Hebei Medical University, Shijiazhuang 050017, Hebei, PR China; Occupational Health and Environmental Health, Hebei Medical University, Shijiazhuang 050017, Hebei, PR China
| | - Rong Zhang
- Department of Toxicology, Hebei Medical University, Shijiazhuang 050017, Hebei, PR China; Hebei Key Laboratory of Environment and Human Health, Hebei Medical University, Shijiazhuang 050017, Hebei, PR China.
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Zheng J, Wu M, Pang Y, Liu Q, Liu Y, Jin X, Tang J, Bao L, Niu Y, Zheng Y, Zhang R. Interior decorative volatile organic compounds exposure induces sleep disorders through aberrant branched chain amino acid transaminase 2 mediated glutamatergic signaling resulting from a neuroinflammatory cascade. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 934:173254. [PMID: 38761924 DOI: 10.1016/j.scitotenv.2024.173254] [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: 01/23/2024] [Revised: 03/16/2024] [Accepted: 05/12/2024] [Indexed: 05/20/2024]
Abstract
Air pollution has been recognized as a contributing factor to sleep disorders (SD), which have been correlated with an elevated susceptibility to a variety of human diseases. Nevertheless, research has not definitively established a connection between SD and interior decorative volatile organic compounds (ID-VOCs), a significant indoor air pollutant. In this study, we employed a mouse model exposed to ID-VOCs to explore the impacts of ID-VOCs exposure on sleep patterns and the potential underlying mechanism. Of the 23 key compositions of ID-VOCs identified, aromatic hydrocarbons were found to be the most prevalent. Exposure to ID-VOCs in mice resulted in SD, characterized by prolonged wake fullness and decreased sleep during the light period. ID-VOCs exposure triggered neuroinflammatory responses in the suprachiasmatic nucleus (SCN), with microglia activation leading to the overproduction of inflammatory cytokines such as tumor necrosis factor-α (TNF-α), interleukin-1α (IL-1α), and complement component 1q (C1q), ultimately inducing A1 astrocytes. Consequently, the upregulation of branched chain amino acid transaminase 2 (BCAT2) in A1 astrocytes resulted in elevated extracellular glutamate and disruption of the wake-sleep transition mechanism, which might be the toxicological mechanism of SD caused by ID-VOCs.
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Affiliation(s)
- Jie Zheng
- Department of Toxicology, School of Public Health, Hebei Medical University, Shijiazhuang 050017, Hebei, PR China; Department of Neurosurgery, The Second Hospital of Hebei Medical University, Shijiazhuang 050000, Hebei, PR China
| | - Mengqi Wu
- Department of Toxicology, School of Public Health, Hebei Medical University, Shijiazhuang 050017, Hebei, PR China
| | - Yaxian Pang
- Department of Toxicology, School of Public Health, Hebei Medical University, Shijiazhuang 050017, Hebei, PR China
| | - Qingping Liu
- Department of Toxicology, School of Public Health, Hebei Medical University, Shijiazhuang 050017, Hebei, PR China
| | - Yan Liu
- Department of Toxicology, School of Public Health, Hebei Medical University, Shijiazhuang 050017, Hebei, PR China; School of Public Health, Inner Mongolia Medical University, Hohhot 010000, Inner Mongolia, PR China
| | - Xiaoting Jin
- Department of Occupational and Environmental Health, School of Public Health, Qingdao University, Qingdao 266071, Shandong, PR China
| | - Jinglong Tang
- Department of Occupational and Environmental Health, School of Public Health, Qingdao University, Qingdao 266071, Shandong, PR China
| | - Lei Bao
- Department of Occupational Health and Environmental Health, Hebei Medical University, Shijiazhuang 050017, Hebei, PR China
| | - Yujie Niu
- Department of Occupational Health and Environmental Health, Hebei Medical University, Shijiazhuang 050017, Hebei, PR China; Hebei Key Laboratory of Environment and Human Health, Hebei Medical University, Shijiazhuang 050017, Hebei, PR China
| | - Yuxin Zheng
- Department of Occupational and Environmental Health, School of Public Health, Qingdao University, Qingdao 266071, Shandong, PR China.
| | - Rong Zhang
- Department of Toxicology, School of Public Health, Hebei Medical University, Shijiazhuang 050017, Hebei, PR China; Hebei Key Laboratory of Environment and Human Health, Hebei Medical University, Shijiazhuang 050017, Hebei, PR China.
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3
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Ebrahimi V, Yarahmadi R, Salehi M, Ashtarinezhad A. Assessing occupational exposure of airborne PMs and TVOCs in the nail salons in Tehran city, Iran. Heliyon 2023; 9:e23088. [PMID: 38144351 PMCID: PMC10746482 DOI: 10.1016/j.heliyon.2023.e23088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Revised: 11/05/2023] [Accepted: 11/27/2023] [Indexed: 12/26/2023] Open
Abstract
There are concerns about the health of nail salon technicians due to the inherently harmful agents such as volatile organic compounds (VOCs) and released particles in the salons. For this reason, this study was conducted to investigate the occupational exposure of nail salon technicians to VOCs and particulate matters (PMs) in the nail salons in Tehran, Iran. In this cross-sectional study, indoor air quality and measurement continually Total VOCs and PMs in the various size of PM1-PM10 using PhoCheck Tiger and particle counter device investigated, respectively. site observation, and an interview with the manager in 49 salons in Tehran. Data was analyzed using SPSS software (version 22). Mean concentrations of PM1 with 2.56 μɡ/m3 was the lowest amount and PM10 with 346.86μɡ/m3 had the highest concentration. Also, the mean concentration of TVOCs was equal 2.61 ppm. The results of the regression model showed that there is a statistically significant between the number of services with airborne PMs (PM2.5), (p-Value≤0.050). In salons only with nail activities, the concentration of PM4 was less than the others, although this correlation was statistically significant just for PM1 (p-Value = 0.010). By implementing effective local exhaust ventilation systems equipped with dust collectors and utilizing safe products, the emission of particles and chemical compounds within salons can be significantly reduced.
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Affiliation(s)
- Vida Ebrahimi
- Department of Occupational Health Engineering, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Rasoul Yarahmadi
- Air Pollution Research Center, Department of Occupational Health Engineering, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Masoud Salehi
- Department of Biostatistics, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Azadeh Ashtarinezhad
- Air Pollution Research Center, Department of Occupational Health Engineering, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
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Saraga DΕ, Querol X, Duarte RMBO, Aquilina NJ, Canha N, Alvarez EG, Jovasevic-Stojanovic M, Bekö G, Byčenkienė S, Kovacevic R, Plauškaitė K, Carslaw N. Source apportionment for indoor air pollution: Current challenges and future directions. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 900:165744. [PMID: 37487894 DOI: 10.1016/j.scitotenv.2023.165744] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 07/21/2023] [Accepted: 07/21/2023] [Indexed: 07/26/2023]
Abstract
Source apportionment (SA) for indoor air pollution is challenging due to the multiplicity and high variability of indoor sources, the complex physical and chemical processes that act as primary sources, sinks and sources of precursors that lead to secondary formation, and the interconnection with the outdoor environment. While the major indoor sources have been recognized, there is still a need for understanding the contribution of indoor versus outdoor-generated pollutants penetrating indoors, and how SA is influenced by the complex processes that occur in indoor environments. This paper reviews our current understanding of SA, through reviewing information on the SA techniques used, the targeted pollutants that have been studied to date, and their source apportionment, along with limitations or knowledge gaps in this research field. The majority (78 %) of SA studies to date focused on PM chemical composition/size distribution, with fewer studies covering organic compounds such as ketones, carbonyls and aldehydes. Regarding the SA method used, the majority of studies have used Positive Matrix Factorization (31 %), Principal Component Analysis (26 %) and Chemical Mass Balance (7 %) receptor models. The indoor PM sources identified to date include building materials and furniture emissions, indoor combustion-related sources, cooking-related sources, resuspension, cleaning and consumer products emissions, secondary-generated pollutants indoors and other products and activity-related emissions. The outdoor environment contribution to the measured pollutant indoors varies considerably (<10 %- 90 %) among the studies. Future challenges for this research area include the need for optimization of indoor air quality monitoring and data selection as well as the incorporation of physical and chemical processes in indoor air into source apportionment methodology.
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Affiliation(s)
- Dikaia Ε Saraga
- Atmospheric Chemistry & Innovative Technologies Laboratory, INRASTES, NCSR Demokritos, Aghia Paraskevi, Athens 15310, Greece.
| | - Xavier Querol
- Institute of Environmental Assessment and Water Research (IDAEA), CSIC, Barcelona, Spain
| | - Regina M B O Duarte
- CESAM - Centre for Environmental and Marine Studies, Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal
| | - Noel J Aquilina
- Department of Chemistry - Faculty of Science, Chemistry Building, University of Malta, Malta
| | - Nuno Canha
- Centro de Ciências e Tecnologias Nucleares (C(2)TN), Instituto Superior Técnico, Universidade de Lisboa, Estrada Nacional 10, Km 139.7, 2695-066 Bobadela LRS, Portugal
| | - Elena Gómez Alvarez
- Department of Agronomy, University of Cordoba, Campus de Rabanales, 14071 Cordoba, Spain
| | - Milena Jovasevic-Stojanovic
- Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, University of Belgrade, Serbia
| | - Gabriel Bekö
- Department of Environmental and Resource Engineering, Technical University of Denmark, Kgs. Lyngby, Denmark; Healthy and Sustainable Built Environment Research Centre, Ajman University, Ajman, P.O. Box 346, United Arab Emirates
| | - Steigvilė Byčenkienė
- Department of Environmental Research, Center for Physical Sciences and Technology (FTMC), Saulėtekio ave. 3, LT-10257 Vilnius, Lithuania
| | | | - Kristina Plauškaitė
- Department of Environmental Research, Center for Physical Sciences and Technology (FTMC), Saulėtekio ave. 3, LT-10257 Vilnius, Lithuania
| | - Nicola Carslaw
- Department of Environment and Geography, University of York, UK
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Asif Z, Chen Z, Haghighat F, Nasiri F, Dong J. Estimation of Anthropogenic VOCs Emission Based on Volatile Chemical Products: A Canadian Perspective. ENVIRONMENTAL MANAGEMENT 2023; 71:685-703. [PMID: 36416924 PMCID: PMC9685044 DOI: 10.1007/s00267-022-01732-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Accepted: 10/02/2022] [Indexed: 06/16/2023]
Abstract
Volatile organic compounds (VOCs) in urban areas are of great interest due to their significant role in forming ground-level ozone and adverse public health effects. Emission inventories usually compile the outdoor VOCs emission sources (e.g., traffic and industrial emissions). However, considering emissions from volatile chemical products (e.g., solvents, printing ink, personal care products) is challenging because of scattered data and the lack of an effective method to estimate the VOCs emission rate from these chemical products. This paper aims to systematically analyse potential sources of VOCs emission in Canada's built environment, including volatile chemical products. Also, spatial variation of VOCs level in the ambient atmosphere is examined to understand the VOC relationship with ozone and secondary organic aerosol formation. The study shows that VOCs level may vary among everyday microenvironments (e.g., residential areas, offices, and retail stores) depending on the frequency of product consumption, building age, ventilation condition, and background ambient concentration in the atmosphere. However, it is very difficult to establish VOC speciation and apportionment to different volatile chemical products that contribute most significantly to exposure and target subpopulations with elevated levels. Thus, tracer compounds can be used to identify inventory sources at the consumer end. A critical overview highlights the limitations of existing VOC estimation methods and possible approaches to control VOC emissions. The findings provide crucial information to establish an emission inventory framework for volatile chemical products at a national scale and enable policymakers to limit VOCs emission from various volatile chemical products.
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Affiliation(s)
- Zunaira Asif
- Department of Building, Civil and Environmental Engineering, Concordia University, Montreal, QC, Canada
| | - Zhi Chen
- Department of Building, Civil and Environmental Engineering, Concordia University, Montreal, QC, Canada.
| | - Fariborz Haghighat
- Department of Building, Civil and Environmental Engineering, Concordia University, Montreal, QC, Canada
| | - Fuzhan Nasiri
- Department of Building, Civil and Environmental Engineering, Concordia University, Montreal, QC, Canada
| | - Jinxin Dong
- Department of Building, Civil and Environmental Engineering, Concordia University, Montreal, QC, Canada
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Salthammer T. TVOC - Revisited. ENVIRONMENT INTERNATIONAL 2022; 167:107440. [PMID: 35932535 DOI: 10.1016/j.envint.2022.107440] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 07/24/2022] [Accepted: 07/26/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND TVOC (total volatile organic compounds) has been used as a sum parameter in indoor air sciences for over 40 years. In the beginning, individual VOC concentrations determined by gas chromatography were simply added together. However, several methods for calculating TVOC have become established over time. METHODS To understand the manifold definitions of TVOC, one must trace the history of indoor air sciences and analytical chemistry. Therefore, in this work, the original approaches of TVOC are searched and explained. A detailed description of the measurement methods is followed by a critical evaluation of the various TVOC values and their possible applications. The aim is to give the reader a deeper understanding of TVOC in order to use this parameter correctly and to be able to better assess published results. In addition, related sum values such as TSVOC and TVVOC are also addressed. RESULTS A milestone was the analytical definition of VOCs and TVOC in 1997. A list of VOCs that should at least be considered when calculating TVOC was also provided. This list represented the status at that time, is no longer up-to-date and is being updated by a European working group as part of a harmonization process. However, there is still confusion about the exact definition and reasonable application of TVOC. The signals of other sum parameters, measured with photoacoustics, flame ionization, photoionization or electrochemical sensors, are also often given under the term TVOC. CONCLUSIONS It was recognized early that TVOC is not a toxicologically based parameter and is therefore only suitable for a limited number of screening purposes. Consequently, TVOC cannot be used in connection with health-related and odor-related issues. Nevertheless, such references are repeatedly made, which has led to controversial scientific discussions and even court decisions in Germany about the correct and improper use of TVOC.
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Affiliation(s)
- Tunga Salthammer
- Fraunhofer WKI, Department of Material Analysis and Indoor Chemistry, Bienroder Weg 54 E, 38108 Braunschweig, Germany.
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Odour Load of Selected Elements of the Technological Line at a Municipal Waste Biogas Plant. ENERGIES 2022. [DOI: 10.3390/en15072427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
Technological processes associated with municipal solid waste (MSW) processing are a potential source of odorant emissions, i.e., substances that cause negative olfactory impressions. When released into the atmosphere, these substances can cause odour nuisance complaints from residents. Many scientists have noted the strong relationship between odorant emission sources and odour concentrations and their significant impact on the living comfort of residents near these sources, as well as their social and economic relations. This paper attempts to estimate the odour load of selected elements of the technological sequence of a biogas plant processing municipal waste. Odour load was characterised by four constituents: odorant emissions, odour emissions, the variability of these emissions, and the emission levels per 1 Mg (1000 kg) of waste. The highest odour emissions accompany the storage of mixed MSW, which is associated with a large amount of waste. Limiting the storage time of waste should be an indispensable part of the technological regime. The dominant odorant associated with mixed MSW storage is NH3 emissions. The greatest variability of odorant and odour emissions concerns gases captured from selectively collected waste plastics and metals, due to the varied forms of selective waste collection in the service area, and their unstable efficiency. High variability of NH3 and odour emissions also accompanies digestate dewatering.
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Pongboonkhumlarp N, Jinsart W. Health risk analysis from volatile organic compounds and fine particulate matter in the printing industry. INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY : IJEST 2022; 19:8633-8644. [PMID: 35287281 PMCID: PMC8907911 DOI: 10.1007/s13762-021-03733-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Revised: 09/29/2021] [Accepted: 10/08/2021] [Indexed: 05/14/2023]
Abstract
The association between the printing activity and the pollutant exposure of the workers was investigated in five consecutive working days, during 8 h work shift per day. Exposure concentrations of the total volatile organic compound and fine particulate matter were measured in the four voluntary printing factories in Thailand. Two types of the printing process, offset and digital printing, were compared. The 8 h average of particulate matter 2.5 in the field blank, Offset A, Offset B, Offset C printing and Digital printing D was 7.46, 21.51, 44.26, 77.92, and 42.08 µgm-3, respectively. The highest particulate matter level in the Offset printing C, 77.92 µgm-3 was due to the surrounded paper dust in the area. The 8 h average of total volatile organic compounds in field blank, Offset A, Offset B, Offset C printing and Digital printing D was 0.12, 2.68, 5.02, 21.86, and 0.67 ppm, respectively. The highest total volatile organic compound was 21.86 ppm in the Offset printing C because of the high production rate and the application of organic solvents in the cleanup process. Worker's exposure to total volatile organic compound and particulate matter 2.5 in the offset printings was higher than in the digital laser printing. From the health risk evaluation, the workers in offset printings were at risk from total volatile organic compound exposure, Hazard quotient > 1. However, workers exposed to particulate matter exposures were not at risk, Hazard quotient < 1.
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Affiliation(s)
- N. Pongboonkhumlarp
- Department of Environmental Science, Faculty of Science, Chulalongkorn University, Bangkok, Thailand
| | - W. Jinsart
- Department of Environmental Science, Faculty of Science, Chulalongkorn University, Bangkok, Thailand
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Di Gilio A, Palmisani J, Petraccone S, de Gennaro G. A sensing network involving citizens for high spatio-temporal resolution monitoring of fugitive emissions from a petroleum pre-treatment plant. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 791:148135. [PMID: 34118667 DOI: 10.1016/j.scitotenv.2021.148135] [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: 02/19/2021] [Revised: 05/14/2021] [Accepted: 05/26/2021] [Indexed: 06/12/2023]
Abstract
In this study an innovative sensing network consisting of eight photoionization detectors, meteorological sensors, a video camera and a telephonic system able to systematize the population complaints was developed for the monitoring of odor emissions. The development of monitoring approaches with high temporal and spatial resolution and actively involving citizens, is strategic in areas where relevant and also short-term emissive events frequently occur and the conventional approaches fail due to the high variability of fugitive emissions. Moreover, even if unpleasant odors are not necessarily direct triggers of health effects, they could be associated with the release of other harmful compounds. Monitoring approaches also involving citizens are thus strategic tools because odors annoyance perceived by population may be a potential health risk warning. Therefore, the developed sensing network was set up in Val d'Agri (Basilicata, Italy) where a petroleum pre-treatment plant (COVA) rises in a rural and inhabited area. The data collected during the monitoring campaign from the 16th February to the 30th July 2017, showed Total Volatile Organic Compounds (TVOCs) concentrations decreasing moving away from the plant and up to five times higher than levels registered in the closest municipality (Viggiano). Moreover, recurrent short-term critical events characterized by concentration values far above the average of the period and with maximum values ranging from 0.92 to 1.89 ppm, were registered in correspondence with high levels of benzene (up to 23.9 μg/m3) and anemometric conditions able to transport pollutants from COVA to each receptor site. The spatial and temporal distribution of TVOC concentrations proved to be affected by the distance from COVA, wind direction and industrial activities verified using video reportage and citizen claims. Therefore, the developed approach has proven to be a useful tool to credit people's perception of odors and also to quantify citizen exposure to VOCs during short-term events.
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Affiliation(s)
- Alessia Di Gilio
- Biology Department, University of Bari, via Orabona, 4, 70126 Bari, Italy.
| | - Jolanda Palmisani
- Biology Department, University of Bari, via Orabona, 4, 70126 Bari, Italy.
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10
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Kulig A, Szyłak-Szydłowski M, Wiśniewska M. Application of Chemical Sensors and Olfactometry Method in Ecological Audits of Degraded Areas. SENSORS 2021; 21:s21186190. [PMID: 34577395 PMCID: PMC8468849 DOI: 10.3390/s21186190] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 09/04/2021] [Accepted: 09/13/2021] [Indexed: 11/16/2022]
Abstract
Mineral excavation is a common process throughout the world. The open pits remaining after the closure of a mine require well-considered and meticulous reclamation activities aimed at restoring the environmental properties of a given area. The inspections carried out in Poland indicate numerous irregularities in implementing the reclamation process. The research in this study was conducted in six measurement series and includes both chemical and olfactometry determinations by devices: multisensor portable gas detector and field olfactometer. Statistical analysis of the results obtained show high concentrations in ambient air of both chemical compounds (NH3, VOCs, H2S, CH3SH) and odour, excluding the possibility of occurrence in the pit of only waste types contained in the administrative decision on reclamation. In addition to the unpleasant odour, the listed compounds can have dangerous effects on the health and life of living organisms. This paper presents a suitable method of control and detection of irregularities in the conducted processes. The main advantage is the relatively low cost of purchasing sensors and field olfactometers compared to other devices, and the possibility to test the polluted air in situ, without the risk of chemical processes occurring during transport of gas samples to the laboratory.
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11
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Breen MS, Isakov V, Prince S, McGuinness K, Egeghy PP, Stephens B, Arunachalam S, Stout D, Walker R, Alston L, Rooney AA, Taylor KW, Buckley TJ. Integrating Personal Air Sensor and GPS to Determine Microenvironment-Specific Exposures to Volatile Organic Compounds. SENSORS 2021; 21:s21165659. [PMID: 34451101 PMCID: PMC8402344 DOI: 10.3390/s21165659] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 08/11/2021] [Accepted: 08/17/2021] [Indexed: 11/16/2022]
Abstract
Personal exposure to volatile organic compounds (VOCs) from indoor sources including consumer products is an understudied public health concern. To develop and evaluate methods for monitoring personal VOC exposures, we performed a pilot study and examined time-resolved sensor-based measurements of geocoded total VOC (TVOC) exposures across individuals and microenvironments (MEs). We integrated continuous (1 min) data from a personal TVOC sensor and a global positioning system (GPS) logger, with a GPS-based ME classification model, to determine TVOC exposures in four MEs, including indoors at home (Home-In), indoors at other buildings (Other-In), inside vehicles (In-Vehicle), and outdoors (Out), across 45 participant-days for five participants. To help identify places with large emission sources, we identified high-exposure events (HEEs; TVOC > 500 ppb) using geocoded TVOC time-course data overlaid on Google Earth maps. Across the 45 participant-days, the MEs ranked from highest to lowest median TVOC were: Home-In (165 ppb), Other-In (86 ppb), In-Vehicle (52 ppb), and Out (46 ppb). For the two participants living in single-family houses with attached garages, the median exposures for Home-In were substantially higher (209, 416 ppb) than the three participant homes without attached garages: one living in a single-family house (129 ppb), and two living in apartments (38, 60 ppb). The daily average Home-In exposures exceeded the estimated Leadership in Energy and Environmental Design (LEED) building guideline of 108 ppb for 60% of the participant-days. We identified 94 HEEs across all participant-days, and 67% of the corresponding peak levels exceeded 1000 ppb. The MEs ranked from the highest to the lowest number of HEEs were: Home-In (60), Other-In (13), In-Vehicle (12), and Out (9). For Other-In and Out, most HEEs occurred indoors at fast food restaurants and retail stores, and outdoors in parking lots, respectively. For Home-In HEEs, the median TVOC emission and removal rates were 5.4 g h-1 and 1.1 h-1, respectively. Our study demonstrates the ability to determine individual sensor-based time-resolved TVOC exposures in different MEs, in support of identifying potential sources and exposure factors that can inform exposure mitigation strategies.
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Affiliation(s)
- Michael S. Breen
- Center for Public Health and Environmental Assessment, U.S. Environmental Protection Agency, Research Triangle Park, Durham, NC 27711, USA;
- Correspondence:
| | - Vlad Isakov
- Center for Environmental Measurement and Modeling, U.S. Environmental Protection Agency, Research Triangle Park, Durham, NC 27711, USA; (V.I.); (D.S.); (R.W.); (L.A.)
| | - Steven Prince
- Center for Public Health and Environmental Assessment, U.S. Environmental Protection Agency, Research Triangle Park, Durham, NC 27711, USA;
| | - Kennedy McGuinness
- Institute for the Environment, University of North Carolina at Chapel Hill, Chapel Hill, NC 27517, USA; (K.M.); (S.A.)
| | - Peter P. Egeghy
- Center for Computational Toxicology and Exposure, U.S. Environmental Protection Agency, Research Triangle Park, Durham, NC 27711, USA; (P.P.E.); (T.J.B.)
| | - Brent Stephens
- Department of Civil, Architectural and Environmental Engineering, Illinois Institute of Technology, Chicago, IL 60616, USA;
| | - Saravanan Arunachalam
- Institute for the Environment, University of North Carolina at Chapel Hill, Chapel Hill, NC 27517, USA; (K.M.); (S.A.)
| | - Dan Stout
- Center for Environmental Measurement and Modeling, U.S. Environmental Protection Agency, Research Triangle Park, Durham, NC 27711, USA; (V.I.); (D.S.); (R.W.); (L.A.)
| | - Richard Walker
- Center for Environmental Measurement and Modeling, U.S. Environmental Protection Agency, Research Triangle Park, Durham, NC 27711, USA; (V.I.); (D.S.); (R.W.); (L.A.)
| | - Lillian Alston
- Center for Environmental Measurement and Modeling, U.S. Environmental Protection Agency, Research Triangle Park, Durham, NC 27711, USA; (V.I.); (D.S.); (R.W.); (L.A.)
| | - Andrew A. Rooney
- Division of the National Toxicology Program, National Institute of Environmental Health Sciences, National Institute of Health, Research Triangle Park, Durham, NC 27711, USA; (A.A.R.); (K.W.T.)
| | - Kyla W. Taylor
- Division of the National Toxicology Program, National Institute of Environmental Health Sciences, National Institute of Health, Research Triangle Park, Durham, NC 27711, USA; (A.A.R.); (K.W.T.)
| | - Timothy J. Buckley
- Center for Computational Toxicology and Exposure, U.S. Environmental Protection Agency, Research Triangle Park, Durham, NC 27711, USA; (P.P.E.); (T.J.B.)
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Robert L, Guichard R, Klingler J, Cochet V, Mandin C. Indoor air quality in shopping and storage areas. INDOOR AIR 2021; 31:1238-1251. [PMID: 33368664 DOI: 10.1111/ina.12783] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Accepted: 12/08/2020] [Indexed: 06/12/2023]
Abstract
In retail stores, workers are constantly exposed to new manufactured goods. The issue of the exposure of retail workers to volatile organic compounds (VOCs) should clearly be considered. Therefore, this study provides data regarding VOC concentrations in ten French retail stores. The stores were chosen to represent various products: sports goods, shoes and leather, furniture, car equipment, bazaars, online-sales storage, clothes, books, DIY (do-it-yourself), and household appliances. VOCs and aldehydes were actively sampled on the same day in five to seven locations per building and outdoors. Toluene and formaldehyde were omnipresent with indoor concentrations reaching 252 and 53 µg/m3 , respectively. The car equipment store, followed by clothing, shoes, and leather, and DIY stores showed the worst indoor air quality. High concentrations were measured, for example, the maximum α-pinene concentration in the furniture and DIY stores was 364 and 141 µg/m3 , respectively, and the heptane concentration in the car equipment store reached 1,316 µg/m3 . Two VOCs classified as toxic to reproduction were measured: hexane in the car equipment store and the bazaar, and dimethylformamide in the sports goods store. This study shows some disparities in the indoor concentrations among different locations in the same store, particularly between sales and storage areas.
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Affiliation(s)
- Laurence Robert
- INRS-Institut National de Recherche et de Sécurité, Vandœuvre-lès-Nancy, France
| | - Romain Guichard
- INRS-Institut National de Recherche et de Sécurité, Vandœuvre-lès-Nancy, France
| | - Jennifer Klingler
- INRS-Institut National de Recherche et de Sécurité, Vandœuvre-lès-Nancy, France
| | - Valérie Cochet
- CSTB-Centre Scientifique et Technique du Bâtiment, Marne-La-Vallée, France
| | - Corinne Mandin
- CSTB-Centre Scientifique et Technique du Bâtiment, Marne-La-Vallée, France
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Recent Progress of Toxic Gas Sensors Based on 3D Graphene Frameworks. SENSORS 2021; 21:s21103386. [PMID: 34067948 PMCID: PMC8152072 DOI: 10.3390/s21103386] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 05/08/2021] [Accepted: 05/08/2021] [Indexed: 01/02/2023]
Abstract
Air pollution is becoming an increasingly important global issue. Toxic gases such as ammonia, nitrogen dioxide, and volatile organic compounds (VOCs) like phenol are very common air pollutants. To date, various sensing methods have been proposed to detect these toxic gases. Researchers are trying their best to build sensors with the lowest detection limit, the highest sensitivity, and the best selectivity. As a 2D material, graphene is very sensitive to many gases and so can be used for gas sensors. Recent studies have shown that graphene with a 3D structure can increase the gas sensitivity of the sensors. The limit of detection (LOD) of the sensors can be upgraded from ppm level to several ppb level. In this review, the recent progress of the gas sensors based on 3D graphene frameworks in the detection of harmful gases is summarized and discussed.
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The Use of Chemical Sensors to Monitor Odour Emissions at Municipal Waste Biogas Plants. APPLIED SCIENCES-BASEL 2021. [DOI: 10.3390/app11093916] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Municipal waste treatment plants are an important element of the urban area infrastructure, but also, they are a potential source of odour nuisance. Odour impact from municipal waste processing plants raises social concerns regarding the well-being of employees operating the plants and residents of nearby areas. Chemical methods involve the determination of the quantitative composition of compounds comprising odour. These methods are less costly than olfactometry, and their efficiency is not dependent on human response. The relationship between the concentration of a single odorant and its odour threshold (OT) is determined by the odour activity value (OAV) parameter. The research involved the application of a multi-gas detector, MultiRae Pro. Measurements by means of the device were conducted at three municipal waste biogas plants located in Poland. In this paper we describe the results obtained when using a detector during the technological processes, the unitary procedures conducted at the plants, and the technological regime. The determination of these relationships could be useful in the development of odour nuisance minimization procedures at treatment plants and the adjustment to them. This is of paramount importance from the viewpoint of the safety and hygiene of the employees operating the installations and the comfort of residents in the areas surrounding biogas plants. Monitoring of expressed odorant emissions allows the course of technological processes and conducted unit operations to be controlled.
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The Importance of the Microclimatic Conditions Inside and Outside of Plant Buildings in Odorants Emission at Municipal Waste Biogas Installations. ENERGIES 2020. [DOI: 10.3390/en13236463] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Municipal waste biogas plants are an important element of waste treatment and energy policy. In this study, odorant concentrations and emissions were measured together with the air temperature (T) and relative humidity (RH) to confirm the hypothesis that the microclimatic conditions have an important impact on the level of odorant emission at municipal waste biogas plants. A simple correlation analysis was made to evaluate the strength and the direction of the relationship between the odorant concentration and emission and air temperature and relative humidity. The mean volatile organic compound (VOC) and NH3 concentrations vary depending on the stage of the technological line of the analysed municipal waste biogas plants and are in the following ranges, respectively: 0–38.64 ppm and 0–100 ppm. The odorant concentrations and emissions correlated statistically significantly with T primarily influences VOC concentrations and emissions while RH mainly affects NH3 concentrations and emissions. The strongest correlations were noted for the fermentation preparation section and for emissions from roof ventilators depending on the analysed plant. The smallest influence of microclimatic factors was observed at the beginning of the technological line—in the waste storage section and mechanical treatment hall. This is due to the greater impact of the type and quality of waste delivered the plants. The analysis of correlation between individual odorants showed significant relationships between VOCs and NH3 for most stages of the technological line of both biogas plants. In the case of technological sewage pumping stations, a significant relationship was also observed between VOCs and H2S. The obtained results may be helpful in preparing strategies to reduce the odours from waste treatment plants.
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The Impact of Technological Processes on Odorant Emissions at Municipal Waste Biogas Plants. SUSTAINABILITY 2020. [DOI: 10.3390/su12135457] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Municipal waste treatment is inherently associated with odour emissions. The compounds characteristic of the processes used for this purpose, and at the same time causing a negative olfactory sensation, are organic and inorganic sulphur and nitrogen compounds. The tests were carried out at the waste management plant, which in the biological part, uses the methane fermentation process and is also equipped with an installation for the collection, treatment, and energetic use of biogas. The tests include measurements of the four odorant concentrations and emissions, i.e., volatile organic compounds (VOCs), ammonia (NH3), hydrogen sulphide (H2S), and methanethiol (CH3SH). Measurements were made using a MultiRae Pro portable gas detector sensor. The tests were carried out in ten series for twenty measurement points in each series. The results show a significant impact of technological processes on odorant emissions. The types of waste going to the plant are also important in shaping this emission. On the one hand, it relates to the waste collection system and, on the other hand, the season of year. In addition, it has been proved that the detector used during the research is a valuable tool enabling the control of technological processes in municipal waste processing plants.
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