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Kunz BK, Little EE, Barandino VL. Aquatic Toxicity of Chemical Road Dust Suppressants to Freshwater Organisms. ARCHIVES OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY 2022; 82:294-305. [PMID: 33566128 DOI: 10.1007/s00244-020-00806-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Accepted: 12/21/2020] [Indexed: 05/26/2023]
Abstract
Unpaved roads make up at least 14 million kilometers of the worldwide road network. Although investigations of road runoff often are focused on paved roads, unpaved roads contribute large volumes of runoff to roadside aquatic habitats and introduce unique constituents to runoff, such as chemical dust suppressants. At least 200 products across five chemical categories are commercially available for road dust suppression and are typically applied at rates up to 4.5 L/m2. Many of these products are poorly described and are lacking basic information on environmental transport, fate, and potential toxicity to roadside organisms. We characterized the aquatic toxicity of 27 commercially available dust control products, including 13 biobased products from the U.S. Department of Agriculture BioPreferred catalog, using juvenile rainbow trout. Acute toxicity varied by more than 1000-fold among products, with 96-h LC50 values ranging from 1.7 to > 16,000 mg/L. Toxicity was not well-predicted by product category. Testing with selected products after simulated weathering under UV radiation did not provide evidence of photoenhanced toxicity. Additional tests with freshwater mussels, juvenile crayfish, pond snails, and amphibian larvae indicated that juvenile rainbow trout were reasonable surrogates for these organisms for a subset of products. This effort represents one of the first comparative studies of dust suppressant toxicity and provides important information for assessing risk to aquatic resources from a widely used but understudied class of contaminants in road runoff.
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Affiliation(s)
- Bethany K Kunz
- U.S. Department of the Interior, U.S. Geological Survey, Columbia Environmental Research Center, Columbia, MO, USA.
| | - Edward E Little
- U.S. Department of the Interior, U.S. Geological Survey, Columbia Environmental Research Center, Columbia, MO, USA
| | - Vincent L Barandino
- U.S. Department of Agriculture, U.S. Forest Service, National Technology and Development Center, San Dimas, CA, USA
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Engel F, Cotelle S, Somensi CA, Testolin RC, Corrêa R, Toumi H, Férard JF, Radetski CM. A 3D ecotoxi-topological profile: Using concentration-time-response surfaces to show peroxidase activity in Zea mays (L.) exposed to aluminium or arsenic in hydroponic conditions. CHEMOSPHERE 2021; 262:127647. [PMID: 32739679 DOI: 10.1016/j.chemosphere.2020.127647] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Revised: 06/30/2020] [Accepted: 07/05/2020] [Indexed: 06/11/2023]
Abstract
This study sought to use concentration-time-response surfaces to show the effects of exposure to toxic (semi-)metals on peroxidase activity in higher plants as a function of exposure-concentration and exposure-time. Maize (Zea mays L.) seedlings (i.e., leaves and roots) were exposed to arsenic (as As3+) or aluminium (as Al3+) under hydroponic conditions, and their biomass and peroxidase enzyme responses were assessed at different concentration-time-exposures. The 3D ecotoxi-profile generated with these data showed two distinct regions: the first region is formed by exposures (i.e., points for time-concentration pairings) that were not statistically different from the results of the control points (i.e., zero toxicant concentration and all exposure-times), whereas the second region is formed by exposure pairings with results that were statistically different to those obtained from control pairings. Overall, the data show that enzyme activity increased over a shorter exposure-time when there was an increase in the exposure-concentration of the toxicant, which can be seen on a 3-D toxicity profile. We propose that quantitative relationship ratios from different assessed endpoints (e.g., biomass and enzyme activity) and enzymatic concentration-time-response surfaces could be helpful in the field of environmental-policy management.
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Affiliation(s)
- Fernanda Engel
- Universidade Do Vale Do Itajaí, Itajaí, Programa de Pós-Graduação Em Ciência e Tecnologia Ambiental, SC, Brazil
| | - Sylvie Cotelle
- Université de Lorraine, CNRS, LIEC, F-57000, Metz, France.
| | - Cleder A Somensi
- Instituto Federal Catarinense, Curso de Mestrado Em Tecnologia e Ambiente, Araquari, SC, Brazil
| | - Renan C Testolin
- Universidade Do Vale Do Itajaí, Laboratório de Remediação Ambiental, Itajaí, SC, Brazil
| | - Rogério Corrêa
- Universidade Do Vale Do Itajaí, Itajaí, Programa de Pós-Graduação Em Ciências Farmacêuticas, SC, Brazil
| | - Hela Toumi
- Université de Carthage, Faculté des Sciences de Bizerte, Laboratoire de Bio-surveillance de L'Environnement (LBE), 7021, Zarzouna, Bizerte, Tunisia
| | | | - Claudemir M Radetski
- Universidade Do Vale Do Itajaí, Itajaí, Programa de Pós-Graduação Em Ciência e Tecnologia Ambiental, SC, Brazil; Instituto Federal Catarinense, Curso de Mestrado Em Tecnologia e Ambiente, Araquari, SC, Brazil.
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Calfee RD, Little EE. Toxicity of Cadmium, Copper, and Zinc to the Threatened Chiricahua Leopard Frog (Lithobates [Rana] chiricahuensis). BULLETIN OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY 2017; 99:679-683. [PMID: 29098305 PMCID: PMC5700224 DOI: 10.1007/s00128-017-2188-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/21/2017] [Accepted: 10/05/2017] [Indexed: 06/01/2023]
Abstract
The Chiricahua leopard frog (Lithobates chiricahuensis) is in decline throughout the western United States, and is particularly sensitive to physical, chemical and biotic changes in their habitat. Acute toxicity tests revealed that among the metals detected in Chiricahua leopard frog habitat, copper was toxic at concentrations lower than those observed in the environment. Developing tadpoles were chronically exposed for 60 days to cadmium, copper and zinc because of the potential for long term exposure to these metals during early development. Cadmium was toxic, but at concentrations above observed environmental levels. Copper was especially toxic to this species at concentrations of about 10% of concentrations observed in their habitats. The onset of toxicity occurred within a few days of exposure, thus pulsed exposures from rain events could potentially be acutely toxic to tadpoles of this species. Zinc did not appear to have a negative impact during the acute or chronic exposures.
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Affiliation(s)
- Robin D Calfee
- U.S. Geological Survey, Columbia Environmental Research Center, 4200 New Haven Road, Columbia, MO, 65202, USA.
| | - Edward E Little
- U.S. Geological Survey, Columbia Environmental Research Center, 4200 New Haven Road, Columbia, MO, 65202, USA
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Sierra M, Bragg-Gonzalo L, Grasa J, Muñoz MJ, González D, Miana-Mena FJ. Oxidative stress prediction: A preliminary approach using a response surface based technique. Toxicol In Vitro 2017; 46:273-283. [PMID: 29032072 DOI: 10.1016/j.tiv.2017.10.016] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2017] [Revised: 10/10/2017] [Accepted: 10/12/2017] [Indexed: 01/21/2023]
Abstract
A response surface was built to predict the lipid peroxidation level, generated in an iron-ascorbate in vitro model, of any organ, which is correlated with the oxidative stress injury in biological membranes. Oxidative stress studies are numerous, usually performed on laboratory animals. However, ethical concerns require validated methods to reduce the use of laboratory animals. The response surface described here is a validated method to replace animals. Tissue samples of rabbit liver, kidney, heart, skeletal muscle and brain were oxidized with different concentrations of FeCl3 (0.1 to 8mM) and ascorbate (0.1mM), during different periods of time (0 to 90min) at 37°C. Experimental data obtained, with lipid content and antioxidant activity of each organ, allowed constructing a multidimensional surface capable of predicting, by interpolation, the lipid peroxidation level of any organ defined by its antioxidant activity and fat content, when exposed to different oxidant conditions. To check the predictive potential of the technique, two more experiments were carried out. First, in vitro oxidation data from lung tissue were collected. Second, the antioxidant capacity of kidney homogenates was modified by adding melatonin. Then, the response surface generated could predict lipid peroxidation levels produced in these new situations. The potential of this technique could be reinforced using collaborative databases to reduce the number of animals in experimental procedures.
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Affiliation(s)
- M Sierra
- Applied Mechanics and Bioengineering group (AMB), Aragón Institute of Engineering Research (I3A), University of Zaragoza, Spain
| | - L Bragg-Gonzalo
- Applied Mechanics and Bioengineering group (AMB), Aragón Institute of Engineering Research (I3A), University of Zaragoza, Spain
| | - J Grasa
- Applied Mechanics and Bioengineering group (AMB), Aragón Institute of Engineering Research (I3A), University of Zaragoza, Spain
| | - M J Muñoz
- Laboratorio de Genética Bioquímica (LAGENBIO), Facultad de Veterinaria, University of Zaragoza, Spain
| | - D González
- Applied Mechanics and Bioengineering group (AMB), Aragón Institute of Engineering Research (I3A), University of Zaragoza, Spain
| | - F J Miana-Mena
- Applied Mechanics and Bioengineering group (AMB), Aragón Institute of Engineering Research (I3A), University of Zaragoza, Spain.
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Wang K, Chen X, Yang F, Porter DW, Wu N. A New Stochastic Kriging Method for Modeling Multi-Source Exposure-Response Data in Toxicology Studies. ACS SUSTAINABLE CHEMISTRY & ENGINEERING 2014; 2:1581-1591. [PMID: 25068094 PMCID: PMC4105196 DOI: 10.1021/sc500102h] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/16/2014] [Revised: 05/13/2014] [Indexed: 06/03/2023]
Abstract
One of the most fundamental steps in risk assessment is to quantify the exposure-response relationship for the material/chemical of interest. This work develops a new statistical method, referred to as SKQ (stochastic kriging with qualitative factors), to synergistically model exposure-response data, which often arise from multiple sources (e.g., laboratories, animal providers, and shapes of nanomaterials) in toxicology studies. Compared to the existing methods, SKQ has several distinct features. First, SKQ integrates data across multiple sources and allows for the derivation of more accurate information from limited data. Second, SKQ is highly flexible and able to model practically any continuous response surfaces (e.g., dose-time-response surface). Third, SKQ is able to accommodate variance heterogeneity across experimental conditions and to provide valid statistical inference (i.e., quantify uncertainties of the model estimates). Through empirical studies, we have demonstrated SKQ's ability to efficiently model exposure-response surfaces by pooling information across multiple data sources. SKQ fits into the mosaic of efficient decision-making methods for assessing the risk of a tremendously large variety of nanomaterials and helps to alleviate safety concerns regarding the enormous amount of new nanomaterials.
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Affiliation(s)
- Kai Wang
- Department
of Industrial and Management System Engineering, West Virginia University, Morgantown, West Virginia 26506, United States
| | - Xi Chen
- Department
of Statistical Sciences and Operations Research, Richmond, Virginia 23284, United States
| | - Feng Yang
- Department
of Industrial and Management System Engineering, West Virginia University, Morgantown, West Virginia 26506, United States
| | - Dale W. Porter
- National
Institute for Occupational Safety and Health (NIOSH), Morgantown, West Virginia 26505, United States
| | - Nianqiang Wu
- Department
of Mechanical and Aerospace Engineering, West Virginia University, Morgantown, West Virginia 26506, United States
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Brown KG, Foureman GL. Concentration-time-response modeling for acute and short-term exposures. Regul Toxicol Pharmacol 2006; 43:45-54. [PMID: 16111795 DOI: 10.1016/j.yrtph.2005.06.002] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2004] [Indexed: 11/26/2022]
Abstract
Risk of health effects from acute and short-term exposure depends on exposure time as well as exposure concentration. A general approach to extending a concentration-response model to include time as a variable is described using mortality of rats exposed to hydrogen sulfide (H(2)S) as an example. This particular example resulted in a logit model with concentration-time (c-t) relationship linear in time and log-concentration. It provided an improved statistical fit, based on the Akaike information criterion in the observed time range, 30 m-360 m, over implementing the c-t relationship of [ten Berge, W.F., Zwart, A., Appelman, L.M., 1986. Concentration-time mortality response relationship of irritant and systemically acting vapours and gases. J. Hazard. Mater. 13, 301--309] as a default in the logit model. This approach also indicated that there might be a fundamental difference in the relationship between concentration, time, and response at short exposure times, somewhere less than 30 m, a hypothesis for further consideration from a biological perspective. In general, the proposed approach provides flexibility to develop a concentration-time-response model, and the associated concentration-time relationship, from the data. Interpretation and potential implications, however, need to be considered within the context of biological plausibility as well. Implementation of the proposed approach requires adequate data for separate concentration-response modeling at each of several exposure durations.
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Abstract
Robust quantitative estimation of average whole cell mitochondrial dysfunction is a useful tool for assessing sensitivity to apoptotic stimuli induced either by novel agents, or following manipulation of apoptotic threshold by pharmacological or functional genomics approaches. We have mathematically modelled the kinetics of whole cell mitochondrial membrane potential depolarisation within a population of cells as a Bernouli transition. An exponential distribution enables the median latency preceding mitochondrial membrane potential dissipation to be derived. The kinetic model can be fitted to in vitro single cell resolution data derived from kinetic flow cytometric studies by non-linear regression. We propose that kinetic determination of cumulative frequency distributions provides a useful approach for estimating apoptosis sensitivity across cell populations over short time-frames.
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Affiliation(s)
- D A Fennell
- Functional Genomics Unit, Barts and the London School of Medicine and Dentistry, London, UK.
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