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Tosadori A, Di Guardo A, Finizio A. Spatial distributions and temporal trends (2009-2020) of chemical mixtures in streams and rivers across Lombardy region (Italy). THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 919:170839. [PMID: 38340863 DOI: 10.1016/j.scitotenv.2024.170839] [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: 11/15/2023] [Revised: 01/11/2024] [Accepted: 02/07/2024] [Indexed: 02/12/2024]
Abstract
Chemical mixtures in the environment are of increasing concern in the scientific community and regulators. Indeed, evidence indicates that aquatic wildlife and humans can be simultaneously and successively exposed to multiple chemicals mainly originating from different anthropic sources by direct uptake from water and indirectly via eating aquatic organisms. This study analyses a large set of sampling data referring to the entire Lombardy region, the most industrialised and at the same time the most important agriculture area in Italy, investigating the presence and potential effects of chemical mixtures in surface water bodies. We enriched and further developed an approach based on a previous work, where the overall mixture toxicity was evaluated for three representative aquatic organisms (algae, Daphnia, fish) using the concentration addition model to combine exposure with ecotoxicological data. The calculation of the mixture toxicity has been realised for two scenarios, namely best- and worst-case scenarios. The former considered only quantified compounds in the monitoring campaign, while the latter also included substances with concentrations below the limit of quantification (LoQ). Differences between the two scenario results established the potential toxicity range. Our findings revealed that differences were minimal when the calculated toxicity in the best-case scenario indicated potential risk and, on the contrary, they suggest that the worst-case scenario is overly conservative; we could also state that including substances with concentrations below the LoQ when calculating the overall toxicity of the mixture is useless and then we focused solely on the best-case scenario. The analysis of spatial and temporal risk trends together with contaminant types and target organisms highlighted specific clusters of contamination. Finally, in several cases, our study found that only few compounds were responsible for the majority of mixture toxicity.
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Affiliation(s)
- Andrea Tosadori
- Department of Earth and Environmental Sciences DISAT, University of Milano-Bicocca, Piazza della Scienza 1, 20126 Milano, Italy
| | - Andrea Di Guardo
- Department of Earth and Environmental Sciences DISAT, University of Milano-Bicocca, Piazza della Scienza 1, 20126 Milano, Italy.
| | - Antonio Finizio
- Department of Earth and Environmental Sciences DISAT, University of Milano-Bicocca, Piazza della Scienza 1, 20126 Milano, Italy
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2
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Rodea-Palomares I, Bone AJ. Predictive value of the ToxCast/Tox21 high throughput toxicity screening data for approximating in vivo ecotoxicity endpoints and ecotoxicological risk in eco- surveillance applications. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 914:169783. [PMID: 38184261 DOI: 10.1016/j.scitotenv.2023.169783] [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: 08/14/2023] [Revised: 12/01/2023] [Accepted: 12/28/2023] [Indexed: 01/08/2024]
Abstract
Ecotoxicology has long relied on assessing the hazard potential of chemicals through traditional in vivo testing methods to understand the possible risk exposure could pose to ecological taxa. In the past decade, the development of non-animal new approach methods (NAMs) for assessing chemical hazard and risk has quickly grown. These methods are often cheaper and faster than traditional toxicity testing, and thus are amenable to high-throughput toxicity testing (HTT), resulting in large datasets. The ToxCast/Tox21 HTT programs have produced in vitro data for thousands of chemicals covering a large space of biological activity. The relevance of these data to in vivo mammalian toxicity has been much explored. Interest has also grown in using these data to evaluate the risk of environmental exposures to taxa of ecological importance such as fish, aquatic invertebrates, etc.; particularly for the purpose of estimating the risk of exposure from real-world complex mixtures. Understanding the relationship and relative sensitivity of NAMs versus standardized ecotoxicological whole organism models is a key component of performing reliable read-across from mammalian in vitro data to ecotoxicological in vivo data. In this work, we explore the relationship between in vivo ecotoxicity data from several publicly available databases and the ToxCast/Tox21 data. We also performed several case studies in which we compare how using different ecotoxicity datasets, whether traditional or ToxCast-based, affects risk conclusions based on exposure to complex mixtures derived from existing large-scale chemical monitoring data. Generally, predictive value of ToxCast data for traditional in vivo endpoints (EPs) was poor (r ≤ 0.3). Risk conclusions, including identification of different chemical risk drivers and prioritized monitoring sites, were different when using HTT data vs. traditional in vivo data.
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Affiliation(s)
| | - Audrey J Bone
- Bayer CropScience, 700 Chesterfield Parkway West, Chesterfield, MO, USA
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3
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Noventa S, Pace E, Esposito D, Libralato G, Manfra L. Handling concentration data below the analytical limit in environmental mixture risk assessment: A case-study on pesticide river monitoring. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 907:167670. [PMID: 37852501 DOI: 10.1016/j.scitotenv.2023.167670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 09/17/2023] [Accepted: 10/06/2023] [Indexed: 10/20/2023]
Abstract
Aquatic organisms are exposed to ever-changing complex mixtures of chemicals throughout their lifetime. Component-Based Mixture Risk Assessment (CBMRA) is a well-established methodology for water contaminant-mixture management, the use of which is growing due to improved access to reference ecotoxicity data and extensive monitoring datasets. It enables the translation of measured exposure concentrations of chemicals into biological effect values, and thus to quantitatively estimate the risk of the whole water sample (i.e., as a mixture). However, many factors can bias the final risk decision by impacting the risk metric components; thus, a careful design of the CBMRA is needed, taking into primary consideration the specific features of the dataset and mixture risk assessment assignments. This study systematically addressed the effects of the most common approaches used for handling the concentrations of chemicals below the limit of detection/quantification (LOD/LOQ) in CBMRA. The main results included: i) an informed CBMRA procedure that enables the tracking of the risk decisions triggered by substances below LOD/LOQ, ii) a conceptual map and guidance criteria to support the selection of the most suitable approach for specific scenarios and related interpretation; iii) a guided implementation of the informed CBMRA on dataset of pesticide concentrations in Italian rivers in 2020 (702,097 records).
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Affiliation(s)
- Seta Noventa
- Istituto Superiore per la Protezione e la Ricerca Ambientale (ISPRA), 30015 Chioggia, Italy.
| | - Emanuela Pace
- Istituto Superiore per la Protezione e la Ricerca Ambientale (ISPRA), via Vitaliano Brancati 48, 00144 Roma, Italy
| | - Dania Esposito
- Istituto Superiore per la Protezione e la Ricerca Ambientale (ISPRA), via Vitaliano Brancati 48, 00144 Roma, Italy
| | - Giovanni Libralato
- Department of Biology, University of Naples Federico II, Via Vicinale Cupa Cintia 26, 80126 Napoli, Italy; Department of Marine Biotechnology, Stazione Zoologica Anton Dohrn, Villa Comunale, 80121 Napoli, Italy
| | - Loredana Manfra
- Istituto Superiore per la Protezione e la Ricerca Ambientale (ISPRA), via Vitaliano Brancati 48, 00144 Roma, Italy; Department of Marine Biotechnology, Stazione Zoologica Anton Dohrn, Villa Comunale, 80121 Napoli, Italy
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4
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van Dijk J, Dekker SC, Kools SAE, van Wezel AP. European-wide spatial analysis of sewage treatment plants and the possible benefits to nature of advanced treatment to reduce pharmaceutical emissions. WATER RESEARCH 2023; 241:120157. [PMID: 37300966 DOI: 10.1016/j.watres.2023.120157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 04/26/2023] [Accepted: 05/30/2023] [Indexed: 06/12/2023]
Abstract
Pharmaceuticals are known to widely occur in the environment and to affect the health of ecosystems. Sewage treatment plants (STPs) are main emission pathways for pharmaceuticals, which are often not sufficiently removed during wastewater treatment. In Europe, STP treatment requirements are specified under the Urban WasteWater Treatment Directive (UWWTD). The introduction of advanced treatment techniques, such as ozonation and activated carbon, under the UWWTD is expected to be an important option to reduce pharmaceutical emissions. In this study, we present a European-wide analysis of STPs reported under the UWWTD, their current treatment level and potential to remove a set of 58 prioritised pharmaceuticals. Three different scenarios were analysed to show 1) UWWTD present effectiveness, 2) the effectiveness at full UWWTD compliance, and 3) the effectiveness when advanced treatment is implemented at STPs with a treatment capacity of >100.000 person equivalents. Based on a literature study, the potential of individual STPs to reduce pharmaceutical emissions ranged from an average of 9% for STPs with primary treatment to 84% for STPs applying advanced treatment. Results of our calculations show that European-wide emission of pharmaceuticals can be reduced with 68% when large STPs are updated with advanced treatment, but spatial differences exist. We argue that adequate attention should also be paid with regards to preventing environmental impacts of STPs with a capacity <100.000 p.e. Circa 44% of total STP effluent is emitted near Natura2000 sites (EU nature protection areas). Of all surface waters receiving STP effluent for which the ecological status has been assessed under the Water Framework Directive, 77% have a status of less than good. Relatively often only primary treatment is applied to wastewater emitted into coastal waters. This analysis can be used to further model pharmaceutical concentrations in European surface waters, to identify STPs for which more advanced treatment might be required and to protect EU aquatic biodiversity.
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Affiliation(s)
- Joanke van Dijk
- Copernicus Institute of Sustainable Development, Utrecht University, 3584, CB, Utrecht, the Netherlands; Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, PO Box 94240, GE, 1090, Amsterdam, the Netherlands.
| | - Stefan C Dekker
- Copernicus Institute of Sustainable Development, Utrecht University, 3584, CB, Utrecht, the Netherlands
| | | | - Annemarie P van Wezel
- Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, PO Box 94240, GE, 1090, Amsterdam, the Netherlands
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5
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Rodea-Palomares I, Gao Z, Weyers A, Ebeling M. Risk from unintentional environmental mixtures in EU surface waters is dominated by a limited number of substances. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 856:159090. [PMID: 36181796 DOI: 10.1016/j.scitotenv.2022.159090] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Revised: 09/05/2022] [Accepted: 09/24/2022] [Indexed: 06/16/2023]
Abstract
Unintentional environmental mixtures happen when multiple chemicals co-occur in the environment. A generic mixture assessment factor (MAF), has been proposed to account for this. The MAF is a number by which safe exposure levels for single chemicals are divided to ensure protection against combined exposures to multiple chemicals. Two key elements to judge the appropriateness of a generic MAF are (1) defining the scope of mixtures that need to be addressed by a MAF (i.e.: simple mixtures vs complex mixtures), and (2) the existence of common risk drivers across large spatial scales. Simple mixtures with one to three risk drivers can easily be addressed by chemical-by-chemical regulatory action. Our work provides evidence on the prevalence and complexity of cumulative risk in EU freshwaters based on chemical monitoring data from one of the largest databases in the EU. With 334 chemicals being monitored, low complexity mixtures (one to 3 three risk drivers) dominated. After excluding metals, only 15 out of 307 chemicals (5 %) were most frequent chemical risk drivers. When these 15 chemicals were excluded from the analysis, 95 % of all monitoring site - year combinations did not pose a concern for cumulative risk. Most of these 15 chemicals are already banned or listed in various priority lists, showing that current regulatory frameworks were effective in identifying drivers of single chemical and cumulative risk. Although the monitoring data do not represent the entirety of environmental mixtures in the EU, the observed patterns of (1) limited prevalence of truly complex mixtures, and (2) limited number of overall risk drivers, argue against the need for implementing a generic MAF as a regulatory tool to address risk from unintentional mixtures in EU freshwaters.
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Affiliation(s)
- Ismael Rodea-Palomares
- Bayer CropScience LP, 700 Chesterfield Parkway West, Chesterfield, MO 63017, United States of America.
| | - Zhenglei Gao
- Bayer AG, Crop Science, Alfred-Nobel-Strasse 50, 40789 Monheim am Rhein, Germany
| | - Arnd Weyers
- Bayer AG, Crop Science, Alfred-Nobel-Strasse 50, 40789 Monheim am Rhein, Germany
| | - Markus Ebeling
- Bayer AG, Crop Science, Alfred-Nobel-Strasse 50, 40789 Monheim am Rhein, Germany
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6
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Finizio A, Di Guardo A, Menaballi L, Barra Caracciolo A, Grenni P. Mix-Tool: An Edge-of-Field Approach to Predict Pesticide Mixtures of Concern in Surface Water From Agricultural Crops. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY 2022; 41:2028-2038. [PMID: 35579390 PMCID: PMC9544912 DOI: 10.1002/etc.5363] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 04/23/2022] [Accepted: 05/10/2022] [Indexed: 06/15/2023]
Abstract
Current regulation on the authorization of plant protection products (PPPs) in the European Union is limited to the evaluation of ecological risks for the single active substances they contain. However, plant protection treatments in agriculture often consist of PPPs already containing more than one active substance; moreover, each cropped field receives multiple applications per year, leading to complex pesticide mixtures in the environment. Different transport processes lead to a multitude of heterogeneous and potentially toxic substances that, for example, may reach water bodies and act simultaneously on natural freshwater ecosystems. In this context, the development of methodologies and tools to manage risks of pesticides mixtures is imperative to improve the current ecological risk assessment procedures and to avoid further deterioration of ecological quality of natural resources. The present study suggests new procedures for identifying pesticide mixtures of potential concern released from agricultural crops in surface water. The approach follows the European Union regulatory context for the authorization of PPPs in the market (edge-of field risk assessment) and requires the use of Forum for the Co-ordination of pesticide fate models and their Use (FOCUS) models (Step 3 and 4) for calculating the concentrations in surface water of mixture components on a daily basis. Moreover, it uses concentration addition models to calculate the toxic potency of the pesticide mixtures released by a treated crop. To implement this procedure, we developed a simple Microsoft-Excel-based tool. We also considered two case studies (maize and apple tree), representative of Italian agricultural scenarios for annual and perennial crops. Moreover, we compared results with 3 years of monitoring data of surface water bodies of the Lombardia region (northern Italy) where the two crops are largely present. Environ Toxicol Chem 2022;41:2028-2038. © 2022 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.
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Affiliation(s)
- Antonio Finizio
- Department of Earth and Environmental SciencesUniversity of Milano‐BicoccaMilanoItaly
- Water Research InstituteNational Research CouncilMonterotondoRomeItaly
| | - Andrea Di Guardo
- Department of Earth and Environmental SciencesUniversity of Milano‐BicoccaMilanoItaly
| | - Luca Menaballi
- Department of Earth and Environmental SciencesUniversity of Milano‐BicoccaMilanoItaly
- TEAM mastery srlComoItaly
| | | | - Paola Grenni
- Water Research InstituteNational Research CouncilMonterotondoRomeItaly
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7
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Rorije E, Wassenaar PNH, Slootweg J, van Leeuwen L, van Broekhuizen FA, Posthuma L. Characterization of ecotoxicological risks from unintentional mixture exposures calculated from European freshwater monitoring data: Forwarding prospective chemical risk management. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 822:153385. [PMID: 35090913 DOI: 10.1016/j.scitotenv.2022.153385] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2021] [Revised: 01/20/2022] [Accepted: 01/20/2022] [Indexed: 06/14/2023]
Abstract
Current regulatory chemical safety assessments do not acknowledge that ambient exposures are to multiple chemicals at the same time. As a result, potentially harmful exposures to unintentional mixtures may occur, leading to potential insufficient protection of the environment. The present study describes cumulative environmental risk assessment results for European fresh water ecosystems, based on the NORMAN chemical surface water monitoring database (1998-2016). It aims to characterize the magnitude of the mixture problem and the relative contribution of chemicals to the mixture risk, and evaluates how cumulative risks reduce when the acceptable risk per single chemical is fractionally lowered. Available monitoring data were curated and aggregated to 26,631 place-time combinations with at least two chemicals, of which 376 place-time combinations had at least 25 chemicals identified above the Limit of Detection. Various risk metrics were based on measured environmental concentrations (MECs). Mixture risk characterization ratio's (ΣRCRs) ≥ 1 were found for 39% of the place-time combinations, with few chemicals dominating the ΣRCR. Analyses of mixture toxic pressures, expressed as multi-substance Potentially Affected Fractions of species based on No Observed Effect Concentrations (msPAFNOEC), showed similar outcomes. Small fractional reductions of the ambient chemical concentrations give a steep increase of the percentage of sufficiently protected water bodies (i.e. ΣRCR < 1 and msPAFNOEC < 5%). Scientific and regulatory aspects of these results are discussed, especially with reference to the representativeness of the monitoring data for characterizing ambient mixtures, the robustness of the findings, and the possible regulatory implementation of the concept of a Mixture Allocation Factor (MAF) for prospective chemicals risk management. Although the monitoring data do not represent the full spectrum of ambient mixture exposures in Europe, results show the need for adapting policies to reach European Union goals for a toxic-free environment and underpin the utility and possible magnitude of a MAF.
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Affiliation(s)
- Emiel Rorije
- National Institute for Public Health and the Environment (RIVM), P.O. Box 1, 3720 BA Bilthoven, the Netherlands.
| | - Pim N H Wassenaar
- National Institute for Public Health and the Environment (RIVM), P.O. Box 1, 3720 BA Bilthoven, the Netherlands; Leiden University, Institute of Environmental Sciences (CML), the Netherlands
| | - Jaap Slootweg
- National Institute for Public Health and the Environment (RIVM), P.O. Box 1, 3720 BA Bilthoven, the Netherlands
| | - Lonneke van Leeuwen
- National Institute for Public Health and the Environment (RIVM), P.O. Box 1, 3720 BA Bilthoven, the Netherlands
| | | | - Leo Posthuma
- National Institute for Public Health and the Environment (RIVM), P.O. Box 1, 3720 BA Bilthoven, the Netherlands; Department of Environmental Science, Institute for Water and Wetland Research, Faculty of Science, Radboud University, Nijmegen, the Netherlands
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8
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Cui Y, Xu Z, Tang S, Wang Y, Jiang G. Organochlorine pesticides and other pesticides in peanut oil: Residue level, source, household processing factor and risk assessment. JOURNAL OF HAZARDOUS MATERIALS 2022; 429:128272. [PMID: 35066221 DOI: 10.1016/j.jhazmat.2022.128272] [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: 10/27/2021] [Revised: 12/27/2021] [Accepted: 01/11/2022] [Indexed: 06/14/2023]
Abstract
Peanut oil, edible vegetable oil largely consumed in China, may be polluted with pesticides during both peanut cultivation and processing. In this study, we analyzed organochlorine pesticides, five currently used pesticides and two degradation products, in soils, seeds, peanuts, oil and dregs and systematically tracked variations of their levels in field soils and during the pressing process. The results showed that the application of metolachlor, pirimicarb and quizalofop-p-ethyl pesticides during peanut cultivation caused their concentrations in peanuts to increase. In most samples, the concentration of 3-phenoxybenzoic acid was higher than that of λ-cyhalothrin, and the variation trends of λ-cyhalothrin and 3-phenoxybenzoic acid in soil samples were similar, which indicate that after application, most λ-cyhalothrin may rapidly be degraded to 3-phenoxybenzoic acid. Regarding the pressing process of peanut oil, the sum of mass of oil and shells was less than the mass of the corresponding raw peanut. Compared with that in peanuts, the total mass of most pesticides in oil and shells was lower, while that of two degradation products was higher, an indication that the degradation products were still generated during the pressing process. Finally, the assessment of health risk of different age groups consuming the studied peanuts and peanut oil showed that the risk was very low.
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Affiliation(s)
- Yang Cui
- Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; Sino-Danish College, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhenlan Xu
- Key Laboratory for Pesticide Residue Detection of Ministry of Agriculture, Institute of Quality and Standard for Agro-products, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Shanshan Tang
- School of Environment, Hangzhou Institute for Advanced Study, UCAS, Hangzhou 310000, China
| | - Yawei Wang
- Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; Sino-Danish College, University of Chinese Academy of Sciences, Beijing 100049, China; School of Environment, Hangzhou Institute for Advanced Study, UCAS, Hangzhou 310000, China.
| | - Guibin Jiang
- Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; Sino-Danish College, University of Chinese Academy of Sciences, Beijing 100049, China; School of Environment, Hangzhou Institute for Advanced Study, UCAS, Hangzhou 310000, China
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9
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Duarte DJ, Niebaum G, Lämmchen V, van Heijnsbergen E, Oldenkamp R, Hernández‐Leal L, Schmitt H, Ragas AMJ, Klasmeier J. Ecological Risk Assessment of Pharmaceuticals in the Transboundary Vecht River (Germany and The Netherlands). ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY 2022; 41:648-662. [PMID: 33818825 PMCID: PMC9290585 DOI: 10.1002/etc.5062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Revised: 01/18/2021] [Accepted: 03/31/2021] [Indexed: 05/16/2023]
Abstract
Millions of people rely on active pharmaceutical ingredients (APIs) to prevent and cure a wide variety of illnesses in humans and animals, which has led to a steadily increasing consumption of APIs across the globe and concurrent releases of APIs into the environment. In the environment, APIs can have a detrimental impact on wildlife, particularly aquatic wildlife. Therefore, it is essential to assess their potential adverse effects to aquatic ecosystems. The European Water Framework Directive sets out that risk assessment should be performed at the catchment level, crossing borders where needed. The present study defines ecological risk profiles for surface water concentrations of 8 APIs (carbamazepine, ciprofloxacin, cyclophosphamide, diclofenac, erythromycin, 17α-ethinylestradiol, metformin, and metoprolol) in the Vecht River, a transboundary river that crosses several German and Dutch regions. Ultimately, 3 main goals were achieved: 1) the geo-referenced estimation of API concentrations in surface water using the geography-referenced regional exposure assessment tool for European rivers; 2) the derivation of new predicted-no-effect concentrations for 7 of the studied APIs, of which 3 were lower than previously derived values; and 3) the creation of detailed spatially explicit ecological risk profiles of APIs under 2 distinct water flow scenarios. Under average flow conditions, carbamazepine, diclofenac, and 17α-ethinylestradiol were systematically estimated to surpass safe ecological concentration thresholds in at least 68% of the catchment's water volume. This increases to 98% under dry summer conditions. Environ Toxicol Chem 2022;41:648-662. © 2021 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.
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Affiliation(s)
- Daniel J. Duarte
- Institute for Water & Wetland Research, Department of Environmental ScienceRadboud University NijmegenNijmegenThe Netherlands
| | - Gunnar Niebaum
- Institute of Environmental Systems ResearchOsnabrück UniversityOsnabrückGermany
| | - Volker Lämmchen
- Institute of Environmental Systems ResearchOsnabrück UniversityOsnabrückGermany
| | - Eri van Heijnsbergen
- Wetsus, European Centre of Excellence for Sustainable Water TechnologyLeeuwardenThe Netherlands
| | - Rik Oldenkamp
- Department of Global Health, Amsterdam Institute for Global Health and Development, Amsterdam UMCUniversity of AmsterdamAmsterdamThe Netherlands
| | - Lucia Hernández‐Leal
- Wetsus, European Centre of Excellence for Sustainable Water TechnologyLeeuwardenThe Netherlands
| | - Heike Schmitt
- Wetsus, European Centre of Excellence for Sustainable Water TechnologyLeeuwardenThe Netherlands
- Department of Infectious Diseases and ImmunologyFaculty of Veterinary MedicineUtrecht UniversityUtrechtThe Netherlands
- Institute for Risk Assessment SciencesUtrecht UniversityUtrechtThe Netherlands
| | - Ad M. J. Ragas
- Institute for Water & Wetland Research, Department of Environmental ScienceRadboud University NijmegenNijmegenThe Netherlands
- Department of Environmental Sciences, Faculty of ScienceOpen UniversityHeerlenThe Netherlands
| | - Jörg Klasmeier
- Institute of Environmental Systems ResearchOsnabrück UniversityOsnabrückGermany
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10
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Finizio A, Grenni P, Petrangeli AB, Barra Caracciolo A, Santoro S, Di Guardo A. Use of large datasets of measured environmental concentrations for the ecological risk assessment of chemical mixtures in Italian streams: A case study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 806:150614. [PMID: 34597558 DOI: 10.1016/j.scitotenv.2021.150614] [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: 07/28/2021] [Revised: 09/15/2021] [Accepted: 09/22/2021] [Indexed: 06/13/2023]
Abstract
A method to evaluate the ecological risk of chemical mixtures in water bodies is here presented. In the first phase, the approach considered routine chemical monitoring data (MEC: measured environmental concentrations) obtained from the Italian National Institute for Environmental Protection and Research, which were georeferenced to a single coordinate system for each monitoring station. The overall mixture toxicity were then evaluated for three representative aquatic organisms (algae, Daphnia, fish) using the concentration addition model to combine exposure with ecotoxicological data (from different databases). A database management system was used to facilitate the creation, organisation, and management of the large datasets of this study. The outputs were obtained as GIS-based mixture risk maps and tables (listing the toxic unit of mixtures and individual substances) useful for further analysis. The method was applied to an Italian watershed (Adda River) as a case study. In the first phase, the mixture toxicity was calculated using two scenarios: best- and worst-case; wherein the former included only those compounds that were be detected, while the latter involved also substances with concentrations below the limit of quantification. The ratio between the two scenarios indicated the range within which mixture toxicity should ideally vary. The method demonstrates that these ratios were very small when the calculated toxicity using the best case indicated a potential risk and vice versa, indicating that the worst-case scenario could not be appropriate (extremely conservative). Consequently, in the successive phase, we focused exclusively on the best-case scenario. Finally, this approach allowed the priority mixture identification (those most likely occurring in the analysed water samples), algae as the organism at the highest risk, and the substances that contributed the most to the overall mixture toxicity (terbuthylazine and s-metolachlor for algae, and chlorpyrifos and chlorpyrifos-CH3 for Daphnia and fish).
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Affiliation(s)
- Antonio Finizio
- Department of Earth and Environmental Sciences DISAT, University of Milano-Bicocca, Piazza della Scienza 1, 20126 Milano, Italy; Water Research Institute, National Research Council, via Salaria km 29,300, 00015 Monterotondo, Rome, Italy
| | - Paola Grenni
- Water Research Institute, National Research Council, via Salaria km 29,300, 00015 Monterotondo, Rome, Italy.
| | - Anna Bruna Petrangeli
- Water Research Institute, National Research Council, via Salaria km 29,300, 00015 Monterotondo, Rome, Italy
| | - Anna Barra Caracciolo
- Water Research Institute, National Research Council, via Salaria km 29,300, 00015 Monterotondo, Rome, Italy
| | - Serena Santoro
- Ministry for Ecological Transition/Institute on Atmospheric Pollution, National Research Council, via Cristoforo Colombo, 44, 00147 Rome, Italy
| | - Andrea Di Guardo
- Department of Earth and Environmental Sciences DISAT, University of Milano-Bicocca, Piazza della Scienza 1, 20126 Milano, Italy
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11
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Kar S, Leszczynski J. Computational Approaches in Assessments of Mixture Toxicity. CURRENT OPINION IN TOXICOLOGY 2022. [DOI: 10.1016/j.cotox.2022.01.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
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12
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Ping H, Wang B, Li C, Li Y, Ha X, Jia W, Li B, Ma Z. Potential health risk of pesticide residues in greenhouse vegetables under modern urban agriculture: A case study in Beijing, China. J Food Compost Anal 2022. [DOI: 10.1016/j.jfca.2021.104222] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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13
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Bradley PM, Kulp MA, Huffman BJ, Romanok KM, Smalling KL, Breitmeyer SE, Clark JM, Journey CA. Reconnaissance of cumulative risk of pesticides and pharmaceuticals in Great Smoky Mountains National Park streams. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 781:146711. [PMID: 33798883 DOI: 10.1016/j.scitotenv.2021.146711] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2021] [Revised: 03/20/2021] [Accepted: 03/20/2021] [Indexed: 06/12/2023]
Abstract
The United States (US) National Park Service (NPS) manages protected public lands to preserve biodiversity. Exposure to and effects of bioactive organic contaminants in NPS streams are challenges for resource managers. Recent assessment of pesticides and pharmaceuticals in protected-streams within the urbanized NPS Southeast Region (SER) indicated the importance of fluvial inflows from external sources as drivers of aquatic contaminant-mixture exposures. Great Smoky Mountains National Park (GRSM), lies within SER, has the highest biodiversity and annual visitation of NPS parks, but, in contrast to the previously studied systems, straddles a high-elevation hydrologic divide; this setting limits fluvial-inflows of contaminants but potentially increases visitation-driven contaminant deliveries. We leveraged the unique characteristics of GRSM to test further the importance of fluvial contaminant inflows as drivers of protected-stream exposures and to inform the relative importance of potential additional contaminant transport mechanisms, by comparing the estimated risks of 328 pesticides and pharmaceuticals in water at 16 GRSM stream locations to those estimated previously in SER streams. Extensive mixtures (31 compounds) were only observed in an atypical reach on the boundary of GRSM downstream of a wastewater discharge, while limited mixtures (2-5 compounds) were observed in one stream with elevated visitation pressure (recreational "tube floating"). The insecticide, imidacloprid, used to eradicate hemlock woolly adelgid, was detected in 8 (50%) streams. Infrequent exceedances of a cumulative ToxCast-based, exposure-activity ratio (ΣEAR) 0.001 screening-level of concern suggested limited risk to non-target, aquatic vertebrates, whereas exceedances of a cumulative benchmark-based, invertebrate toxicity quotient (ΣTQ) 0.1 screening level at 8 locations indicated generally high risk to invertebrates. The results are consistent with the importance of fluvial transport from extra-park sources as a driver of bioactive-contaminant mixture exposures in protected streams and illustrate the potential additional risks from visitation-driven and tactical-use-pesticides.
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Affiliation(s)
- Paul M Bradley
- U.S. Geological Survey, South Atlantic Water Science Center, Columbia, SC, USA.
| | - Matt A Kulp
- Great Smoky Mountains National Park, National Park Service, Gatlinburg, TN, USA
| | - Bradley J Huffman
- U.S. Geological Survey, South Atlantic Water Science Center, Columbia, SC, USA
| | - Kristin M Romanok
- U.S. Geological Survey, New Jersey Water Science Center, Lawrenceville, NJ, USA
| | - Kelly L Smalling
- U.S. Geological Survey, New Jersey Water Science Center, Lawrenceville, NJ, USA
| | - Sara E Breitmeyer
- U.S. Geological Survey, New Jersey Water Science Center, Lawrenceville, NJ, USA
| | - Jimmy M Clark
- U.S. Geological Survey, South Atlantic Water Science Center, Columbia, SC, USA
| | - Celeste A Journey
- U.S. Geological Survey, South Atlantic Water Science Center, Columbia, SC, USA
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Bradley PM, Journey CA, Romanok KM, Breitmeyer SE, Button DT, Carlisle DM, Huffman BJ, Mahler BJ, Nowell LH, Qi SL, Smalling KL, Waite IR, Van Metre PC. Multi-region assessment of chemical mixture exposures and predicted cumulative effects in USA wadeable urban/agriculture-gradient streams. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 773:145062. [PMID: 33940714 DOI: 10.1016/j.scitotenv.2021.145062] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Revised: 12/16/2020] [Accepted: 01/05/2021] [Indexed: 06/12/2023]
Abstract
Chemical-contaminant mixtures are widely reported in large stream reaches in urban/agriculture-developed watersheds, but mixture compositions and aggregate biological effects are less well understood in corresponding smaller headwaters, which comprise most of stream length, riparian connectivity, and spatial biodiversity. During 2014-2017, the U.S. Geological Survey (USGS) measured 389 unique organic analytes (pharmaceutical, pesticide, organic wastewater indicators) in 305 headwater streams within four contiguous United States (US) regions. Potential aquatic biological effects were evaluated for estimated maximum and median exposure conditions using multiple lines of evidence, including occurrence/concentrations of designed-bioactive pesticides and pharmaceuticals and cumulative risk screening based on vertebrate-centric ToxCast™ exposure-response data and on invertebrate and nonvascular plant aquatic life benchmarks. Mixed-contaminant exposures were ubiquitous and varied, with 78% (304) of analytes detected at least once and cumulative maximum concentrations up to more than 156,000 ng/L. Designed bioactives represented 83% of detected analytes. Contaminant summary metrics correlated strong-positive (rho (ρ): 0.569-0.719) to multiple watershed-development metrics, only weak-positive to point-source discharges (ρ: 0.225-353), and moderate- to strong-negative with multiple instream invertebrate metrics (ρ: -0.373 to -0.652). Risk screening indicated common exposures with high probability of vertebrate-centric molecular effects and of acute toxicity to invertebrates, respectively. The results confirm exposures to broad and diverse contaminant mixtures and provide convincing multiple lines of evidence that chemical contaminants contribute substantially to adverse multi-stressor effects in headwater-stream communities.
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15
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Diamond J, Burton GA. Moving Beyond the Term "Contaminants of Emerging Concern". ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY 2021; 40:1527-1529. [PMID: 33617005 DOI: 10.1002/etc.5022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Accepted: 02/19/2021] [Indexed: 06/12/2023]
Affiliation(s)
| | - G Allen Burton
- School for Environment and Sustainability and Department of Earth & Environmental Science, University of Michigan, Ann Arbor, Michigan, USA
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16
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Vázquez OA, Rahman MS. An ecotoxicological approach to microplastics on terrestrial and aquatic organisms: A systematic review in assessment, monitoring and biological impact. ENVIRONMENTAL TOXICOLOGY AND PHARMACOLOGY 2021; 84:103615. [PMID: 33607259 DOI: 10.1016/j.etap.2021.103615] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Revised: 02/03/2021] [Accepted: 02/11/2021] [Indexed: 05/06/2023]
Abstract
Marine and land plastic debris biodegrades at micro- and nanoscales through progressive fragmentation. Oceanographic model studies confirm the presence of up to ∼2.41 million tons of microplastics across the Atlantic, Pacific, and Indian subtropical gyres. Microplastics distribute from primary (e.g., exfoliating cleansers) and secondary (e.g., chemical deterioration) sources in the environment. This anthropogenic phenomenon poses a threat to the flora and fauna of terrestrial and aquatic ecosystems as ingestion and entanglement cases increase over time. This review focuses on the impact of microplastics across taxa at suggested environmentally relevant concentrations, and advances the groundwork for future ecotoxicological-based research on microplastics including the main points: (i) adhesion of chemical pollutants (e.g., PCBs); (ii) biological effects (e.g., bioaccumulation, biomagnification, biotransportation) in terrestrial and aquatic organisms; (iii) physico-chemical properties (e.g., polybrominated diphenyl ethers) and biodegradation pathways in the environment (e.g., chemical stress, heat stress); and (iv) an ecotoxicological prospect for optimized impact assessments.
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Affiliation(s)
- Omar A Vázquez
- Biochemistry and Molecular Biology Program, University of Texas Rio Grande Valley, Brownsville, TX, USA
| | - Md Saydur Rahman
- Biochemistry and Molecular Biology Program, University of Texas Rio Grande Valley, Brownsville, TX, USA; School of Earth, Environmental, and Marine Sciences, University of Texas Rio Grande Valley, Brownsville, TX, USA.
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17
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Rahimpoor R, Gohari-Ensaf F, Poorolajal J, Assari MJ. Impact of Filter on the Estimation of Quantitative Mixture Risk Caused by Some Chemical Constituents Generated from Popular Cigarette Brands in Iran. ADDICTION & HEALTH 2020; 12:175-185. [PMID: 33244394 PMCID: PMC7679489 DOI: 10.22122/ahj.v12i3.275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Background This study was conducted to evaluate the impact of filter on the eventual carcinogenic and non-carcinogenic risks caused by the main toxic constituents of popular cigarette brands in Iran. Methods At this laboratory study, the concentration of benzene, formaldehyde, arsenic, and cadmium in the mainstream smoke of 11 popular cigarette brands in Iran, on the without and with-filter modes was determined based on an established method. The hazard quotient (HQ), incremental lifetime cancer risk (ILCR), and mixture quantitative risk assessments (QRAs) were performed based on the QRA method recommended by United States Environmental Protection Agency (USEPA). Findings The mean of HQ due to benzene, formaldehyde, arsenic, and cadmium in without-filter cigarette smoke was from 3.96 to 3505. The findings indicated that the HQs related to benzene, formaldehyde, arsenic, and cadmium in cigarette smoke were decreased with filter by 48.3%, 25.3%, 37.6%, and 49.1%, respectively. The filter of cigarette decreased ILCR of benzene, formaldehyde, arsenic, and cadmium in cigarette smoke by 53.02%, 25.31%, 37.70%, and 61.01%, respectively. The mixture of non-carcinogenic and carcinogenic estimated risks due to inhalation of studied cigarettes smoke was very high and unacceptable. Conclusion The cigarette filter plays an essential role in reducing inhalation exposure to hazardous compounds in mainstream cigarette smoke; nevertheless, the average of overall mixture HQs and ILCRs estimated caused by studied compounds was higher than the acceptable value. It is recommended that future empirical studies investigate the impact of the type of fiber used in cigarette filter on reducing carcinogenic and non-carcinogenic risks caused by cigarette smoke.
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Affiliation(s)
- Razzagh Rahimpoor
- Research Center for Health Sciences, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Fatemeh Gohari-Ensaf
- Department of Epidemiology, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Jalal Poorolajal
- Modeling of Noncommunicable Diseases Research Center, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Mohammad Javad Assari
- Research Center for Health Sciences, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran
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18
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Spilsbury FD, Warne MSJ, Backhaus T. Risk Assessment of Pesticide Mixtures in Australian Rivers Discharging to the Great Barrier Reef. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2020; 54:14361-14371. [PMID: 33136377 DOI: 10.1021/acs.est.0c04066] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Rivers discharging to the Great Barrier Reef carry complex pesticide mixtures. Here we present a first comprehensive ecotoxicological risk assessment using species sensitivity distributions (SSDs), explore how risk changes with time and land use, and identify the drivers of mixture risks. The analyzed data set comprises 50 different pesticides and pesticide metabolites that were analyzed in 3741 samples from 18 river and creek catchments between 2011 and 2016. Pesticide mixtures were present in 82% of the samples, with a maximum of 23 pesticides and a median of five compounds per sample. Chemical-analytical techniques were insufficiently sensitive for at least seven pesticides (metsulfuron-methyl, terbutryn, imidacloprid, clothianidin, ametryn, prometryn, and thiamethoxam). The classical mixture concepts of concentration addition and independent action were applied to the pesticide SSDs, focusing on environmental threshold values protective for 95% of the species. Both concepts produced almost identical risk estimates. Mixture risk was therefore finally assessed using concentration addition, as the sum of the individual risk quotients. The sum of risk quotients ranges between 0.05 and 122 with a median of 0.66. An ecotoxicological risk (i.e., a sum of individual risk quotients exceeding 1) was indicated in 38.5% of the samples. Sixteen compounds accounted for 99% of the risk, with diuron, imidacloprid, atrazine, metolachlor, and hexazinone being the most important risk drivers. Analysis of land-use patterns in catchment areas showed an association between sugar cane farming and elevated risk levels, driven by the presence of diuron.
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Affiliation(s)
- Francis D Spilsbury
- Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg 40530, Sweden
- Curtin University, Perth, Western Australia 6845, Australia
| | - Michael St J Warne
- School of Earth and Environmental Sciences, University of Queensland, St Lucia, Queensland 4072, Australia
- Department of Environment and Science, Brisbane City, Queensland 4000, Australia
- Centre for Agroecology, Water and Resilience, Coventry University, Coventry CV83LG, United Kingdom
| | - Thomas Backhaus
- Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg 40530, Sweden
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19
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Kaushal SS, Wood KL, Galella JG, Gion AM, Haq S, Goodling PJ, Haviland KA, Reimer JE, Morel CJ, Wessel B, Nguyen W, Hollingsworth JW, Mei K, Leal J, Widmer J, Sharif R, Mayer PM, Johnson TAN, Newcomb KD, Smith E, Belt KT. Making 'Chemical Cocktails' - Evolution of Urban Geochemical Processes across the Periodic Table of Elements. APPLIED GEOCHEMISTRY : JOURNAL OF THE INTERNATIONAL ASSOCIATION OF GEOCHEMISTRY AND COSMOCHEMISTRY 2020; 119:1-104632. [PMID: 33746355 PMCID: PMC7970522 DOI: 10.1016/j.apgeochem.2020.104632] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
Abstract
Urbanization contributes to the formation of novel elemental combinations and signatures in terrestrial and aquatic watersheds, also known as 'chemical cocktails.' The composition of chemical cocktails evolves across space and time due to: (1) elevated concentrations from anthropogenic sources, (2) accelerated weathering and corrosion of the built environment, (3) increased drainage density and intensification of urban water conveyance systems, and (4) enhanced rates of geochemical transformations due to changes in temperature, ionic strength, pH, and redox potentials. Characterizing chemical cocktails and underlying geochemical processes is necessary for: (1) tracking pollution sources using complex chemical mixtures instead of individual elements or compounds; (2) developing new strategies for co-managing groups of contaminants; (3) identifying proxies for predicting transport of chemical mixtures using continuous sensor data; and (4) determining whether interactive effects of chemical cocktails produce ecosystem-scale impacts greater than the sum of individual chemical stressors. First, we discuss some unique urban geochemical processes which form chemical cocktails, such as urban soil formation, human-accelerated weathering, urban acidification-alkalinization, and freshwater salinization syndrome. Second, we review and synthesize global patterns in concentrations of major ions, carbon and nutrients, and trace elements in urban streams across different world regions and make comparisons with reference conditions. In addition to our global analysis, we highlight examples from some watersheds in the Baltimore-Washington DC region, which show increased transport of major ions, trace metals, and nutrients across streams draining a well-defined land-use gradient. Urbanization increased the concentrations of multiple major and trace elements in streams draining human-dominated watersheds compared to reference conditions. Chemical cocktails of major and trace elements were formed over diurnal cycles coinciding with changes in streamflow, dissolved oxygen, pH, and other variables measured by high-frequency sensors. Some chemical cocktails of major and trace elements were also significantly related to specific conductance (p<0.05), which can be measured by sensors. Concentrations of major and trace elements increased, peaked, or decreased longitudinally along streams as watershed urbanization increased, which is consistent with distinct shifts in chemical mixtures upstream and downstream of other major cities in the world. Our global analysis of urban streams shows that concentrations of multiple elements along the Periodic Table significantly increase when compared with reference conditions. Furthermore, similar biogeochemical patterns and processes can be grouped among distinct mixtures of elements of major ions, dissolved organic matter, nutrients, and trace elements as chemical cocktails. Chemical cocktails form in urban waters over diurnal cycles, decades, and throughout drainage basins. We conclude our global review and synthesis by proposing strategies for monitoring and managing chemical cocktails using source control, ecosystem restoration, and green infrastructure. We discuss future research directions applying the watershed chemical cocktail approach to diagnose and manage environmental problems. Ultimately, a chemical cocktail approach targeting sources, transport, and transformations of different and distinct elemental combinations is necessary to more holistically monitor and manage the emerging impacts of chemical mixtures in the world's fresh waters.
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Affiliation(s)
- Sujay S Kaushal
- Department of Geology, University of Maryland, College Park, Maryland 20740, USA
- Earth System Science Interdisciplinary Center, University of Maryland, College Park, Maryland 20740, USA
| | - Kelsey L Wood
- Department of Geology, University of Maryland, College Park, Maryland 20740, USA
- Earth System Science Interdisciplinary Center, University of Maryland, College Park, Maryland 20740, USA
| | - Joseph G Galella
- Department of Geology, University of Maryland, College Park, Maryland 20740, USA
- Earth System Science Interdisciplinary Center, University of Maryland, College Park, Maryland 20740, USA
| | - Austin M Gion
- Department of Geology, University of Maryland, College Park, Maryland 20740, USA
| | - Shahan Haq
- Department of Geology, University of Maryland, College Park, Maryland 20740, USA
- Earth System Science Interdisciplinary Center, University of Maryland, College Park, Maryland 20740, USA
| | - Phillip J Goodling
- MD-DE-DC US Geological Survey Water Science Center, 5522 Research Park Drive, Catonsville, Maryland 21228, USA
| | | | - Jenna E Reimer
- Department of Geology, University of Maryland, College Park, Maryland 20740, USA
- Earth System Science Interdisciplinary Center, University of Maryland, College Park, Maryland 20740, USA
| | - Carol J Morel
- Department of Geology, University of Maryland, College Park, Maryland 20740, USA
- Earth System Science Interdisciplinary Center, University of Maryland, College Park, Maryland 20740, USA
| | - Barret Wessel
- Department of Environmental Science and Technology, University of Maryland, College Park, Maryland 20740, USA
| | - William Nguyen
- Department of Geology, University of Maryland, College Park, Maryland 20740, USA
- Earth System Science Interdisciplinary Center, University of Maryland, College Park, Maryland 20740, USA
| | - John W Hollingsworth
- Department of Geology, University of Maryland, College Park, Maryland 20740, USA
| | - Kevin Mei
- Department of Geology, University of Maryland, College Park, Maryland 20740, USA
| | - Julian Leal
- Department of Geology, University of Maryland, College Park, Maryland 20740, USA
| | - Jacob Widmer
- Department of Geology, University of Maryland, College Park, Maryland 20740, USA
| | - Rahat Sharif
- Department of Environmental Science and Technology, University of Maryland, College Park, Maryland 20740, USA
| | - Paul M Mayer
- US Environmental Protection Agency, Center for Public Health and Environmental Assessment, Pacific Ecological Systems Division, Western Ecology Division, 200 SW 35 Street, Corvallis, Oregon 97333, USA
| | - Tamara A Newcomer Johnson
- US Environmental Protection Agency, Center for Environmental Measurement and Modeling, Watershed and Ecosystem Characterization Division, 26 W. Martin Luther King Drive, Cincinnati, Ohio 45268, USA
| | | | - Evan Smith
- Department of Geology, University of Maryland, College Park, Maryland 20740, USA
- Earth System Science Interdisciplinary Center, University of Maryland, College Park, Maryland 20740, USA
| | - Kenneth T Belt
- Department of Geography and Environmental Systems, University of Maryland Baltimore County, 1000 Hilltop Circle, Baltimore, Maryland 21250
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20
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Bhandari G, Zomer P, Atreya K, Mol HGJ, Yang X, Geissen V. Pesticide residues in Nepalese vegetables and potential health risks. ENVIRONMENTAL RESEARCH 2019; 172:511-521. [PMID: 30852454 DOI: 10.1016/j.envres.2019.03.002] [Citation(s) in RCA: 95] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2018] [Revised: 03/01/2019] [Accepted: 03/01/2019] [Indexed: 06/09/2023]
Abstract
We conducted this study in order to assess the pesticide residues in vegetables and examine the related human health risk. Therefore, residues of 23 pesticides (organophosphates, organochlorines, acaricides, fungicides, and insecticides of biological origin) were analysed in the three main vegetable crops grown in Southern Nepal: 27 eggplant, 27 chilli and 32 tomato samples representing (i) conventional (N = 67) and ii) integrated pest management (IPM) fields (N = 19). Pesticide residues were found in 93% of the eggplant samples and in all of the chilli and tomato samples. Multiple residues were observed in 56% of the eggplant samples, 96% of chilli samples and all of the tomato samples. The range (µg/kg) of total detected pesticide residues in eggplants, chillies and tomatoes was 1.71-231, 4.97-507, 13.1-3465, respectively. The most frequently detected pesticides in these vegetables were carbendazim and chloropyrifos. Pesticide residues in 4% of the eggplant, 44% of the tomato and 19% of the chilli samples exceeded the EU maximum residue limits (MRLs). The residues of triazophos, omethoate, chloropyrifos and carbendazim exceeded the EU MRLs. Compared to chilli and eggplant crops, more carbendazim was sprayed onto tomato crops (p < 0.05). We assessed adolescent and adult dietary exposure using hazard quotient (HQ) and hazard index (HI) equations for the identified pesticides. HQ> 1 was observed for chloropyrifos, triazophos and carbendazim in eggplants; profenofos, triazophos, dimethoate, omethoate, chloropyrifos and carbendazim in tomatoes; and dichlorvos and chloropyrifos in chillies. Of all of the HQs, the highest acute HQ (aHQ) was for triazophos (tomato) in adolescents (aHQ=657) and adults (aHQ=677), showing the highest risks of dietary exposure. The cumulative dietary exposure showed a higher HI for organophosphates (HI>83) and a lower HI for organochlorines, acaricides and biological insecticides (HI<1). The concentration of pesticide residues in the vegetable crops from the IPM field was considerably lower, suggesting a greater ability of IPM systems to reduce the dietary risks from exposure to pesticides.
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Affiliation(s)
- Govinda Bhandari
- Soil Physics and Land Management Group, Wageningen University and Research, Wageningen, The Netherlands; Progressive Sustainable Developers Nepal (PSD-Nepal), Kathmandu, Nepal.
| | - Paul Zomer
- RIKILT-Wageningen University and Research, Wageningen, The Netherlands
| | - Kishor Atreya
- PHASE Nepal, Suryabinayak 4, Dadhikot, Bhaktapur, Nepal
| | - Hans G J Mol
- RIKILT-Wageningen University and Research, Wageningen, The Netherlands
| | - Xiaomei Yang
- Soil Physics and Land Management Group, Wageningen University and Research, Wageningen, The Netherlands; College of Natural Resources and Environment, Northwest A&F University, Yangling, China
| | - Violette Geissen
- Soil Physics and Land Management Group, Wageningen University and Research, Wageningen, The Netherlands
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21
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Bopp SK, Kienzler A, Richarz AN, van der Linden SC, Paini A, Parissis N, Worth AP. Regulatory assessment and risk management of chemical mixtures: challenges and ways forward. Crit Rev Toxicol 2019; 49:174-189. [DOI: 10.1080/10408444.2019.1579169] [Citation(s) in RCA: 61] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Affiliation(s)
| | - Aude Kienzler
- European Commission, Joint Research Centre (JRC), Ispra, Italy
| | | | | | - Alicia Paini
- European Commission, Joint Research Centre (JRC), Ispra, Italy
| | | | - Andrew P. Worth
- European Commission, Joint Research Centre (JRC), Ispra, Italy
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22
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de Zwart D, Adams W, Galay Burgos M, Hollender J, Junghans M, Merrington G, Muir D, Parkerton T, De Schamphelaere KAC, Whale G, Williams R. Aquatic exposures of chemical mixtures in urban environments: Approaches to impact assessment. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY 2018; 37:703-714. [PMID: 28861906 DOI: 10.1002/etc.3975] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2017] [Revised: 08/03/2017] [Accepted: 08/28/2017] [Indexed: 06/07/2023]
Abstract
Urban regions of the world are expanding rapidly, placing additional stress on water resources. Urban water bodies serve many purposes, from washing and sources of drinking water to transport and conduits for storm drainage and effluent discharge. These water bodies receive chemical emissions arising from either single or multiple point sources, diffuse sources which can be continuous, intermittent, or seasonal. Thus, aquatic organisms in these water bodies are exposed to temporally and compositionally variable mixtures. We have delineated source-specific signatures of these mixtures for diffuse urban runoff and urban point source exposure scenarios to support risk assessment and management of these mixtures. The first step in a tiered approach to assessing chemical exposure has been developed based on the event mean concentration concept, with chemical concentrations in runoff defined by volumes of water leaving each surface and the chemical exposure mixture profiles for different urban scenarios. Although generalizations can be made about the chemical composition of urban sources and event mean exposure predictions for initial prioritization, such modeling needs to be complemented with biological monitoring data. It is highly unlikely that the current paradigm of routine regulatory chemical monitoring alone will provide a realistic appraisal of urban aquatic chemical mixture exposures. Future consideration is also needed of the role of nonchemical stressors in such highly modified urban water bodies. Environ Toxicol Chem 2018;37:703-714. © 2017 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals, Inc. on behalf of SETAC.
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Affiliation(s)
| | | | | | - Juliane Hollender
- Eawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland
| | - Marion Junghans
- Swiss Centre for Applied Ecotoxicology Eawag-EPFL, Dübendorf, Switzerland
| | | | - Derek Muir
- Environment and Climate Change Canada, Burlington, Ontario, Canada
| | | | | | | | - Richard Williams
- NERC, Centre for Ecology & Hydrology, Crowmarsh Gifford, Wallingford, United Kingdom
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23
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Holmes CM, Brown CD, Hamer M, Jones R, Maltby L, Posthuma L, Silberhorn E, Teeter JS, Warne MSJ, Weltje L. Prospective aquatic risk assessment for chemical mixtures in agricultural landscapes. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY 2018; 37:674-689. [PMID: 29193235 PMCID: PMC5873440 DOI: 10.1002/etc.4049] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2017] [Revised: 08/03/2017] [Accepted: 11/25/2017] [Indexed: 05/16/2023]
Abstract
Environmental risk assessment of chemical mixtures is challenging because of the multitude of possible combinations that may occur. Aquatic risk from chemical mixtures in an agricultural landscape was evaluated prospectively in 2 exposure scenario case studies: at field scale for a program of 13 plant-protection products applied annually for 20 yr and at a watershed scale for a mixed land-use scenario over 30 yr with 12 plant-protection products and 2 veterinary pharmaceuticals used for beef cattle. Risk quotients were calculated from regulatory exposure models with typical real-world use patterns and regulatory acceptable concentrations for individual chemicals. The results could differentiate situations when there was concern associated with single chemicals from those when concern was associated with a mixture (based on concentration addition) with no single chemical triggering concern. Potential mixture risk was identified on 0.02 to 7.07% of the total days modeled, depending on the scenario, the taxa, and whether considering acute or chronic risk. Taxa at risk were influenced by receiving water body characteristics along with chemical use profiles and associated properties. The present study demonstrates that a scenario-based approach can be used to determine whether mixtures of chemicals pose risks over and above any identified using existing approaches for single chemicals, how often and to what magnitude, and ultimately which mixtures (and dominant chemicals) cause greatest concern. Environ Toxicol Chem 2018;37:674-689. © 2017 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals, Inc. on behalf of SETAC.
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Affiliation(s)
| | - Colin D. Brown
- Environment DepartmentUniversity of YorkHeslingtonYorkUnited Kingdom
| | - Mick Hamer
- SyngentaJealott's HillBracknellUnited Kingdom
| | - Russell Jones
- Bayer CropScienceResearch Triangle ParkNorth CarolinaUSA
| | - Lorraine Maltby
- Department of Animal and Plant SciencesThe University of SheffieldSheffieldUnited Kingdom
| | - Leo Posthuma
- National Institute for Public Health and the Environment (RIVM)Centre for SustainabilityEnvironment and HealthBilthovenThe Netherlands
- Radboud UniversityDepartment of Environmental ScienceInstitute for Wetland and Water ResearchFaculty of ScienceRadboud UniversityNijmegenThe Netherlands
| | - Eric Silberhorn
- US Food and Drug AdministrationCenter for Veterinary MedicineRockvilleMaryland
| | | | - Michael St J Warne
- Centre for AgroecologyWater and ResilienceCoventry UniversityCoventryWest MidlandsUK
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24
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Posthuma L, Brown C, de Zwart D, Diamond J, Dyer SD, Hamer M, Holmes CM, Marshall S, Burton GA. Simplifying environmental mixtures-An aquatic exposure-based approach via land use scenarios. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY 2018; 37:671-673. [PMID: 29480978 DOI: 10.1002/etc.4063] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2017] [Accepted: 12/11/2017] [Indexed: 06/08/2023]
Affiliation(s)
- Leo Posthuma
- National Institute for Public Health and the Environment (RIVM), Centre for Sustainability, Environment and Health, Bilthoven, The Netherlands
- Radboud University, Department of Environmental Science, Institute for Wetland and Water Research, Faculty of Science, Radboud University, Nijmegen, The Netherlands
| | - Colin Brown
- University of York, Environment Department, Heslington, York, United Kingdom
| | | | | | - Scott D Dyer
- The Procter and Gamble Company, Cincinnati, Ohio, USA
| | - Mick Hamer
- Syngenta, Jealott's Hill, Bracknell, United Kingdom
| | | | - Stuart Marshall
- Unilever, Safety and Environmental Assurance Centre, Unilever, Sharnbrook, Bedford, United Kingdom
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Brack W, Escher BI, Müller E, Schmitt-Jansen M, Schulze T, Slobodnik J, Hollert H. Towards a holistic and solution-oriented monitoring of chemical status of European water bodies: how to support the EU strategy for a non-toxic environment? ENVIRONMENTAL SCIENCES EUROPE 2018; 30:33. [PMID: 30221105 PMCID: PMC6132835 DOI: 10.1186/s12302-018-0161-1] [Citation(s) in RCA: 51] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2018] [Accepted: 08/25/2018] [Indexed: 05/02/2023]
Abstract
The definition of priority substances (PS) according to the Water Framework Directive (WFD) helped to remove many of these chemicals from the market and to reduce their concentrations in the European water bodies. However, it could not prevent that many of these chemicals have been replaced by others with similar risks. Today, monitoring of the PS-based chemical status according to WFD covers only a tiny fraction of toxic risks, extensively ignores mixture effects and lacks incentives and guidance for abatement. Thus, we suggest complement this purely status-related approach with more holistic and solution-oriented monitoring, which at the same time helps to provide links to the ecological status. Major elements include (1) advanced chemical screening techniques supporting mixture risk assessment and unraveling of source-related patterns in complex mixtures, (2) effect-based monitoring for the detection of groups of chemicals with similar effects and the establishment of toxicity fingerprints, (3) effect-directed analysis of drivers of toxicity and (4) to translate chemical and toxicological fingerprints into chemical footprints for prioritization of management measures. The requirement of more holistic and solution-oriented monitoring of chemical contamination is supported by the significant advancement of appropriate monitoring tools within the last years. Non-target screening technology, effect-based monitoring and basic understanding of mixture assessment are available conceptually and in research but also increasingly find their way into practical monitoring. Substantial progress in the development, evaluation and demonstration of these tools, for example, in the SOLUTIONS project enhanced their acceptability. Further advancement, integration and demonstration, extensive data exchange and closure of remaining knowledge gaps are suggested as high priority research needs for the next future to bridge the gap between insufficient ecological status and cost-efficient abatement measures.
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Affiliation(s)
- Werner Brack
- Department of Effect-Directed Analysis, Helmholtz Centre for Environmental Research UFZ, Permoserstr. 15, 04318 Leipzig, Germany
- Department of Ecosystem Analysis, Institute for Environmental Research, ABBt-Aachen Biology and Biotechnology, RWTH Aachen University, Worringerweg 1, 52074 Aachen, Germany
| | - Beate I. Escher
- Department of Cell Toxicology, Helmholtz Centre for Environmental Research UFZ, Permoserstr. 15, 04318 Leipzig, Germany
- Environmental Toxicology, Center for Applied Geosciences, Eberhard Karls University Tübingen, 72074 Tübingen, Germany
| | - Erik Müller
- Department of Effect-Directed Analysis, Helmholtz Centre for Environmental Research UFZ, Permoserstr. 15, 04318 Leipzig, Germany
| | - Mechthild Schmitt-Jansen
- Department of Bioanalytical Ecotoxicology, Helmholtz Centre for Environmental Research UFZ, Permoserstr. 15, 04318 Leipzig, Germany
| | - Tobias Schulze
- Department of Effect-Directed Analysis, Helmholtz Centre for Environmental Research UFZ, Permoserstr. 15, 04318 Leipzig, Germany
| | | | - Henner Hollert
- Department of Ecosystem Analysis, Institute for Environmental Research, ABBt-Aachen Biology and Biotechnology, RWTH Aachen University, Worringerweg 1, 52074 Aachen, Germany
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