Integrating chemical analysis and bioanalysis to evaluate the contribution of wastewater effluent on the micropollutant burden in small streams

Neale, Peta A.; Munz, Nicole; Aїt-Aїssa, Selim; Altenburger, Rolf; Brion, François; Busch, Wibke; Escher, Beate I.; Hilscherová, Klára; Kienle, Cornelia; Novák, Jiří; Seiler, Thomas‐Benjamin; Shao, Ying; Stamm, Christian; Hollender, Juliane

doi:10.1016/j.scitotenv.2016.10.141

Cited by 149 publications

(140 citation statements)

References 58 publications

Supporting

Mentioning

130

Contrasting

Unclassified

Order By: Relevance

“…Bioassay findings cannot always be explained by monitored chemicals, as demonstrated in several case study investigations in surface [26,38,47,49], and groundwater [39]. This is particularly true for assays indicative of more integrative effects.…”

Section: Effect Detection Using Bioassay Panelsmentioning

confidence: 96%

“…These MoAs were then used to devise panels of bioassays designed to comprehensively capture biological effects of chemicals expected in water [1,23]. Subsequently, bioassay panels were applied to single water contaminants to test the MoA categorizations [48,49], as well as mixture effect recovery in complex contaminated samples [2] and in various monitoring case studies [38,47,49,52,65].…”

Section: Effect Detection Using Bioassay Panelsmentioning

confidence: 99%

“…However, if more polar and water-soluble compounds are of concern, these assays are unlikely to detect much bioactivity. To foster the application of the bioassays applied in the case studies summarized above, one may refer to the standard operating procedures documented in the supporting information of Neale et al [48,49].…”

Section: Effect Detection Using Bioassay Panelsmentioning

confidence: 99%

“…In some cases, well-known chemicals can explain observed biological responses (e.g., estrogenicity detected in surface water using in vitro assays often results from only a few natural and synthetic steroid estrogens such as estrone, estradiol, and ethinyl-estradiol) [33,37,38,47]. However, in other cases routinely analyzed chemicals cannot explain observed biological responses (e.g., [26,47,49]. In these cases, bioassays provide a more comprehensive picture of the chemical burden in the aqueous environment.…”

Section: Effect-directed Analysismentioning

confidence: 99%

See 3 more Smart Citations

Future water quality monitoring: improving the balance between exposure and toxicity assessments of real-world pollutant mixtures

et al. 2019

Self Cite

View full text Add to dashboard Cite

Environmental water quality monitoring aims to provide the data required for safeguarding the environment against adverse biological effects from multiple chemical contamination arising from anthropogenic diffuse emissions and point sources. Here, we integrate the experience of the international EU-funded project SOLUTIONS to shift the focus of water monitoring from a few legacy chemicals to complex chemical mixtures, and to identify relevant drivers of toxic effects. Monitoring serves a range of purposes, from control of chemical and ecological status compliance to safeguarding specific water uses, such as drinking water abstraction. Various water sampling techniques, chemical target, suspect and non-target analyses as well as an array of in vitro, in vivo and in situ bioanalytical methods were advanced to improve monitoring of water contamination. Major improvements for broader applicability include tailored sampling techniques, screening and identification techniques for a broader and more diverse set of chemicals, higher detection sensitivity, standardized protocols for chemical, toxicological, and ecological assessments combined with systematic evidence evaluation techniques. No single method or combination of methods is able to meet all divergent monitoring purposes. Current monitoring approaches tend to emphasize either targeted exposure or effect detection. Here, we argue that, irrespective of the specific purpose, assessment of monitoring results would benefit substantially from obtaining and linking information on the occurrence of both chemicals and potentially adverse biological effects. In this paper, we specify the information required to: (1) identify relevant contaminants, (2) assess the impact of contamination in aquatic ecosystems, or (3) quantify cause-effect relationships between contaminants and adverse effects. Specific strategies to link chemical and bioanalytical information are outlined for each of these distinct goals. These strategies have been developed and explored using case studies in the Danube and Rhine river basins as well as for rivers of the Iberian Peninsula. Current water quality assessment suffers from biases resulting from differences in approaches and associated uncertainty analyses. While exposure approaches tend to ignore data gaps (i.e., missing contaminants), effect-based approaches penalize data gaps with increased uncertainty factors. This integrated work suggests systematic ways to deal with mixture exposures and combined effects in a more balanced way, and thus provides guidance for future tailored environmental monitoring. which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

show abstract

Section: Effect Detection Using Bioassay Panelsmentioning

confidence: 96%

Section: Effect Detection Using Bioassay Panelsmentioning

confidence: 99%

Section: Effect Detection Using Bioassay Panelsmentioning

confidence: 99%

Section: Effect-directed Analysismentioning

confidence: 99%

See 2 more Smart Citations

Future water quality monitoring: improving the balance between exposure and toxicity assessments of real-world pollutant mixtures

et al. 2019

Self Cite

View full text Add to dashboard Cite

show abstract

“…These micropollutants may follow various pathways. Consequently, this leads to the ubiquitous detection of many organic micropollutants in different aquatic matrices, such as surface water, groundwater, ocean water, and even drinking water …”

Section: Introductionmentioning

confidence: 99%

Predictive Computational Tools for Assessment of Ecotoxicological Activity of Organic Micropollutants in Various Water Sources in Brazil

Silva

Lorenzo

Lopes

et al. 2019

Molecular Informatics

View full text Add to dashboard Cite

This paper is dedicated to Prof. Paola Gramatica on the occasion of her retirement.Abstract: The increase of chemical pollutants detected in different aquatic environments over the past few years has been in the focus of several studies related to their occurrence, transport, fate, and hazards, or risks to human and environmental health. In Brazil, recent studies have been conducted on the occurrence of a series of organic micropollutants (OMPs) in aquatic environments. Nevertheless, the toxicological information and environmental behavior for most of these pollutants are still difficult to evaluate. We obtained consensus models using a combina-tion of VolSurf and Dragon descriptors and Random Forest approach to predict the toxicity against Daphnia magna and Pimephales promelas for compounds identified in different sources of water in Brazil. The models showed satisfactory performance when compared with other approaches, such as Toxicity Estimation Software Tool (T.E.S.T.), etc. Both models can be used as complementary tools to aid in the prediction of organic compounds against both organisms.

show abstract

The advantages of linear concentration–response curves for in vitro bioassays with environmental samples

Escher

Neale

Villeneuve

2018

Enviro Toxic and Chemistry

Self Cite

102

117

View full text Add to dashboard Cite

In vitro assays and high-throughput screening (HTS) tools are increasingly being employed as replacements for animal testing, but most concentration-response curves are still evaluated with models developed for animal testing. We argue that application of in vitro assays, particularly reporter gene assays, to environmental samples can benefit from a different approach to concentration-response modeling. First, cytotoxicity often occurs at higher concentrations, especially for weakly acting compounds and in complex environmental mixtures with many components. In these cases, specific effects can be masked by cytotoxicity. Second, for many HTS assays, low effect levels can be precisely quantified because of the low variability of controls in cell-based assays and the opportunity to run many concentrations and replicates when using high-density well-plate formats (e.g., 384 or more wells per plate). Hence, we recommend focusing concentration-response modeling on the lower portion of the concentration-response curve, which is approximately linear. Effect concentrations derived from low-effect level linear concentration-response models facilitate simple derivation of relative effect potencies and the correct application of mixture toxicity models in the calculation of bioanalytical equivalent concentrations. Environ Toxicol Chem 2018;37:2273-2280. © 2018 SETAC.

show abstract

Integrating chemical analysis and bioanalysis to evaluate the contribution of wastewater effluent on the micropollutant burden in small streams

Cited by 149 publications

References 58 publications

Future water quality monitoring: improving the balance between exposure and toxicity assessments of real-world pollutant mixtures

Future water quality monitoring: improving the balance between exposure and toxicity assessments of real-world pollutant mixtures

Predictive Computational Tools for Assessment of Ecotoxicological Activity of Organic Micropollutants in Various Water Sources in Brazil

The advantages of linear concentration–response curves for in vitro bioassays with environmental samples

Contact Info

Product

Resources

About