Rebecca Sim, J. Feldmann, D. B. Stengel, Á. Pétursdóttir
{"title":"Temporal and intra-thallus variation in arsenic species in the brown macroalga Laminaria digitata","authors":"Rebecca Sim, J. Feldmann, D. B. Stengel, Á. Pétursdóttir","doi":"10.1071/en22123","DOIUrl":"https://doi.org/10.1071/en22123","url":null,"abstract":"","PeriodicalId":11714,"journal":{"name":"Environmental Chemistry","volume":"22 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82091487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Speciation analysis of iodine in seaweed: optimisation of extraction procedure and chromatographic separation","authors":"Ana Jerše, H. Amlund, S. L. Holdt, Jens J. Sloth","doi":"10.1071/en22133","DOIUrl":"https://doi.org/10.1071/en22133","url":null,"abstract":"","PeriodicalId":11714,"journal":{"name":"Environmental Chemistry","volume":"125 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89847348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Krishantha Kodithuwakku, Jianyin Huang, C. Doolette, S. Mason, J. Boland, E. Lombi, N. Lehto, P. Teasdale
{"title":"Evaluation of the diffusive gradients in thin-films (DGT) technique for measuring nitrate and ammonium in soil","authors":"Krishantha Kodithuwakku, Jianyin Huang, C. Doolette, S. Mason, J. Boland, E. Lombi, N. Lehto, P. Teasdale","doi":"10.1071/en22107","DOIUrl":"https://doi.org/10.1071/en22107","url":null,"abstract":"","PeriodicalId":11714,"journal":{"name":"Environmental Chemistry","volume":"15 12 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86925995","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alba Otero-Fariña, Noémie Janot, Rémi Marsac, Charlotte Catrouillet, Jan E. Groenenberg
Environmental context Rare earth elements (REEs) are technologically critical elements released into the environment by various anthropogenic activities, and whose ecotoxicological impacts are still largely unknown. REE binding to natural organic matter (NOM) is key to understand their fate and bioavailability in the environment. With this work, it is now possible to predict REE binding to NOM in various environments using various speciation software (ECOSAT, ORCHESTRA, Visual MINTEQ).Rationale Understanding rare earth element (REE) speciation in different natural environments is important to evaluate their environmental risks because different chemical species of an element may have different bioavailability and toxicity. REEs have a great affinity for particulate and dissolved organic matter, particularly fulvic and humic acids (HAs). Thus, the use of humic ion binding models may help to understand and predict the behaviour and speciation of these species in surface waters, groundwaters and soils.Methodology In this work, we used previously published experimental datasets to parameterise the NICA-Donnan model for REEs binding with HAs, using the model optimisation tool PEST-ORCHESTRA. We propose using linear free energy relationships (LFERs) to constrain the number of parameters to optimise.Results We determined a coherent NICA-Donnan parameter set for the whole REEs series being compatible with available generic NICA-Donnan parameters for other metals. The impact of pH, ionic strength and REE/HA ratio as well as the presence of competitors (Fe3+, Al3+ and Cu2+) on model results is analysed.Discussion We consolidate confidence in our derived NICA-Donnan parameters for REEs by comparing them with the Irving–Rossotti LFER. We also show the general applicability of this relationship to predict and constrain metal-binding parameters for the NICA-Donnan model. We discuss observed shortcomings and provide suggestions for potential improvement of NICA-Donnan modelling.
{"title":"Rare earth elements binding humic acids: NICA-Donnan modelling","authors":"Alba Otero-Fariña, Noémie Janot, Rémi Marsac, Charlotte Catrouillet, Jan E. Groenenberg","doi":"10.1071/en23049","DOIUrl":"https://doi.org/10.1071/en23049","url":null,"abstract":"Environmental context Rare earth elements (REEs) are technologically critical elements released into the environment by various anthropogenic activities, and whose ecotoxicological impacts are still largely unknown. REE binding to natural organic matter (NOM) is key to understand their fate and bioavailability in the environment. With this work, it is now possible to predict REE binding to NOM in various environments using various speciation software (ECOSAT, ORCHESTRA, Visual MINTEQ).Rationale Understanding rare earth element (REE) speciation in different natural environments is important to evaluate their environmental risks because different chemical species of an element may have different bioavailability and toxicity. REEs have a great affinity for particulate and dissolved organic matter, particularly fulvic and humic acids (HAs). Thus, the use of humic ion binding models may help to understand and predict the behaviour and speciation of these species in surface waters, groundwaters and soils.Methodology In this work, we used previously published experimental datasets to parameterise the NICA-Donnan model for REEs binding with HAs, using the model optimisation tool PEST-ORCHESTRA. We propose using linear free energy relationships (LFERs) to constrain the number of parameters to optimise.Results We determined a coherent NICA-Donnan parameter set for the whole REEs series being compatible with available generic NICA-Donnan parameters for other metals. The impact of pH, ionic strength and REE/HA ratio as well as the presence of competitors (Fe3+, Al3+ and Cu2+) on model results is analysed.Discussion We consolidate confidence in our derived NICA-Donnan parameters for REEs by comparing them with the Irving–Rossotti LFER. We also show the general applicability of this relationship to predict and constrain metal-binding parameters for the NICA-Donnan model. We discuss observed shortcomings and provide suggestions for potential improvement of NICA-Donnan modelling.","PeriodicalId":11714,"journal":{"name":"Environmental Chemistry","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135600076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Supattarachai Saksakulkrai, S. Chantara, Zongbo Shi
{"title":"Airborne particulate matter in Southeast Asia: a review on variation, chemical compositions and source apportionment","authors":"Supattarachai Saksakulkrai, S. Chantara, Zongbo Shi","doi":"10.1071/en22044","DOIUrl":"https://doi.org/10.1071/en22044","url":null,"abstract":"","PeriodicalId":11714,"journal":{"name":"Environmental Chemistry","volume":"15 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86446177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The uptake of Arsenic species by commonly grown Australian rice varieties cultivated utilising two widely used agronomic practices (straw incorporation and nitrogen fertilisation) and the role dimethyl arsenic plays in inducing straighthead disease","authors":"","doi":"10.1071/en22055","DOIUrl":"https://doi.org/10.1071/en22055","url":null,"abstract":"","PeriodicalId":11714,"journal":{"name":"Environmental Chemistry","volume":"53 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88390225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Anna Casari, Loris Tonidandel, Guido Zolezzi, Alberto Bellin, Paolo Negri, Alice Barbero, Roberto Larcher
Environmental context Pesticides and other contaminants released by agricultural activities negatively impact aquatic biota and water quality, but are not always measured. The Polar Organic Chemical Integrative Sampler (POCIS) is among the most suitable tools for identifying pesticides and other organic compounds in water bodies. However, determination of a mean concentration (over the duration of the deployment) is still a significant challenge, which is addressed in the present work using field observations and a computational model.Rationale The Polar Organic Chemical Integrative Sampler (POCIS) is a passive sampler composed of a receiving phase, Oasis HLB, enclosed between two polyethersulfone (PES) membranes. It is used for monitoring organic compounds in surface water and in groundwater. The measurement of pesticide concentrations by passive samplers in streams still represents an open challenge, which limits the samplers’ use in environmental monitoring of the quality status of water bodies in accordance with the EU Water Framework Directive.Methodology We addressed these limitations by calibrating a POCIS with concentration measurements performed on samples collected by means of an automatic sampler from the same section of a small alpine river where a passive sampler was deployed. In the majority of published studies, the analytes were extracted only from the receiving phase, but recent works show that some compounds were also adsorbed by the PES membrane, suggesting the importance of extracting the analytes from both the phase and the membrane.Results The POCIS was calibrated for 31 compounds, by a comparison between the total amount of pesticides adsorbed by POCIS (Ms) and the time-weighted average concentration (TWAc) obtained from several grab samples, and by estimation of the sampling rate (Rs), which allows linking the Ms with the TWAc over time. The data showed an increasing Rs trend with hydrophobicity for the most hydrophobic and hydrophilic compounds, while compounds with 1.5 ≤ log Kow ≤ 3.5 assumed a value of Rs independent of log Kow. The contribution of PES membranes allows expansion of the calibration of Rs to the most hydrophobic compounds and allows monitoring of pesticides that would hardly have been detected if they were extracted only from the Oasis HLB phase, such as fluazinam.Discussion The calibration was then verified on the same stream and the model extended to a different sampling site; in both cases, the calibration allowed estimation of a value of TWAc that fits with the reality within a factor of 5, and in the majority of cases within a factor of 2. If this level of accuracy is accepted, the Rs reported here can be used to estimate TWAc from sampling with POCIS.
{"title":"Validation of a calibration model able to estimate the concentration of pesticides in an alpine stream through passive sampling (POCIS) monitoring","authors":"Anna Casari, Loris Tonidandel, Guido Zolezzi, Alberto Bellin, Paolo Negri, Alice Barbero, Roberto Larcher","doi":"10.1071/en23052","DOIUrl":"https://doi.org/10.1071/en23052","url":null,"abstract":"Environmental context Pesticides and other contaminants released by agricultural activities negatively impact aquatic biota and water quality, but are not always measured. The Polar Organic Chemical Integrative Sampler (POCIS) is among the most suitable tools for identifying pesticides and other organic compounds in water bodies. However, determination of a mean concentration (over the duration of the deployment) is still a significant challenge, which is addressed in the present work using field observations and a computational model.Rationale The Polar Organic Chemical Integrative Sampler (POCIS) is a passive sampler composed of a receiving phase, Oasis HLB, enclosed between two polyethersulfone (PES) membranes. It is used for monitoring organic compounds in surface water and in groundwater. The measurement of pesticide concentrations by passive samplers in streams still represents an open challenge, which limits the samplers’ use in environmental monitoring of the quality status of water bodies in accordance with the EU Water Framework Directive.Methodology We addressed these limitations by calibrating a POCIS with concentration measurements performed on samples collected by means of an automatic sampler from the same section of a small alpine river where a passive sampler was deployed. In the majority of published studies, the analytes were extracted only from the receiving phase, but recent works show that some compounds were also adsorbed by the PES membrane, suggesting the importance of extracting the analytes from both the phase and the membrane.Results The POCIS was calibrated for 31 compounds, by a comparison between the total amount of pesticides adsorbed by POCIS (Ms) and the time-weighted average concentration (TWAc) obtained from several grab samples, and by estimation of the sampling rate (Rs), which allows linking the Ms with the TWAc over time. The data showed an increasing Rs trend with hydrophobicity for the most hydrophobic and hydrophilic compounds, while compounds with 1.5 ≤ log Kow ≤ 3.5 assumed a value of Rs independent of log Kow. The contribution of PES membranes allows expansion of the calibration of Rs to the most hydrophobic compounds and allows monitoring of pesticides that would hardly have been detected if they were extracted only from the Oasis HLB phase, such as fluazinam.Discussion The calibration was then verified on the same stream and the model extended to a different sampling site; in both cases, the calibration allowed estimation of a value of TWAc that fits with the reality within a factor of 5, and in the majority of cases within a factor of 2. If this level of accuracy is accepted, the Rs reported here can be used to estimate TWAc from sampling with POCIS.","PeriodicalId":11714,"journal":{"name":"Environmental Chemistry","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135549704","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Arsenic speciation of commonly eaten mushrooms from central Europe","authors":"Martin Walenta, S. Braeuer, W. Goessler","doi":"10.1071/en22069","DOIUrl":"https://doi.org/10.1071/en22069","url":null,"abstract":"","PeriodicalId":11714,"journal":{"name":"Environmental Chemistry","volume":"41 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73892974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Md Shah Alam, Shogo Fujisawa, Masahiko Zuka, Y. Zai, A. Mashio, I. Rahman, K. H. Wong, Hiroshi Hasegawa
{"title":"Cellular uptake and biotransformation of arsenate by freshwater phytoplankton under salinity gradient revealed by single-cell ICP-MS and CT-HG-AAS","authors":"Md Shah Alam, Shogo Fujisawa, Masahiko Zuka, Y. Zai, A. Mashio, I. Rahman, K. H. Wong, Hiroshi Hasegawa","doi":"10.1071/en23041","DOIUrl":"https://doi.org/10.1071/en23041","url":null,"abstract":"","PeriodicalId":11714,"journal":{"name":"Environmental Chemistry","volume":"74 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76601356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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