Pharmaceuticals have been considered ‘contaminants of emerging concern’ for more than 20 years. In that time, many laboratory studies have sought to identify hazard and assess risk in the aquatic environment, whilst field studies have searched for targeted candidates and occurrence trends using advanced analytical techniques. However, a lack of a systematic approach to the detection and quantification of pharmaceuticals has provided a fragmented literature of serendipitous approaches. Evaluation of the extent of the risk for the plethora of human and veterinary pharmaceuticals available requires the reliable measurement of trace levels of contaminants across different environmental compartments (water, sediment, biota - of which biota has been largely neglected). The focus on pharmaceutical concentrations in surface waters and other exposure media have therefore limited both the characterisation of the exposome in aquatic wildlife and the understanding of cause and effect relationships. Here, we compile the current analytical approaches and available occurrence and accumulation data in biota to review the current state of research in the field. Our analysis provides evidence in support of the ‘Matthew Effect’ and raises critical questions about the use of targeted analyte lists for biomonitoring. We provide six recommendations to stimulate and improve future research avenues.

A new and more alarming source of marine contamination has been recently identified in micro and nanosized plastic fragments. Microplastics are difficult to see with the naked eye and to biodegrade in marine environment, representing a problem since they can be ingested by plankton or other marine organisms, potentially entering the food web. An important source of microplastics appears to be through sewage contaminated by synthetic fibres from washing clothes. Since this phenomenon still lacks of a comprehensive analysis, the objective of this contribution was to investigate the role of washing processes of synthetic textiles on microplastic release. In particular, an analytical protocol was set up, based on the filtration of the washing water of synthetic fabrics and on the analysis of the filters by scanning electron microscopy. The quantification of the microfibre shedding from three different synthetic fabric types, woven polyester, knitted polyester, and woven polypropylene, during washing trials simulating domestic conditions, was achieved and statistically analysed. The highest release of microplastics was recorded for the wash of woven polyester and this phenomenon was correlated to the fabric characteristics. Moreover, the extent of microfibre release from woven polyester fabrics due to different detergents, washing parameters and industrial washes was evaluated. The number of microfibres released from a typical 5 kg wash load of polyester fabrics was estimated to be over 6,000,000 depending on the type of detergent used. The usage of a softener during washes reduces the number of microfibres released of more than 35%. The amount and size of the released microfibres confirm that they could not be totally retained by wastewater treatments plants, and potentially affect the aquatic environment.

Microplastic ingestion has been reported for several marine species, but the level of contamination in transitional systems and associated biota is less known. The aim of this study was to assess the occurrence of microplastic ingestion in three commercial fish species: the sea bass (Dicentrarchus labrax), the seabream (Diplodus vulgaris) and the flounder (Platichthys flesus) from the Mondego estuary (Portugal). Microplastics were extracted from the gastrointestinal tract of 120 individuals by visual inspection and digestion solution. A total of 157 particles were extracted from 38% of total fish (96% fibers), with 1.67 ± 0.27 (SD) microplastics per fish. Significantly higher amount of ingested microplastics was recorded for D. vulgaris (73%). The dominant polymers identified by μ-FTIR were polyester, polypropylene and rayon (semi-synthetic fiber). It is reported for the first time the presence of this pollutant in fish populations from the Mondego estuary raising concerns on their potential negative effects.

Large amounts of ammunition containing 2,4,6-trinitrotoluene (TNT) and other substances were dumped in the Baltic Sea after WWII. Considering progressive corrosion processes, studying the transformation of TNT occurring in the environment constitutes an important aspect of a possible associated risk. This study focused on the transformations of TNT in simulated conditions of the Baltic Sea bottom sediment. Methods of analysis of TNT and selected products of its transformations were developed for that purpose. The developed methods allowed for the determination of selected compounds below 1 ng/g. Systematic monitoring of TNT transformations in the environment of the bottom sediment was performed. This allowed for the determination of the kinetics of TNT degradation and identification of degradation reaction products. Based on the obtained results, the TNT decay half-time in conditions present in the Baltic Sea was estimated to be 16.7 years for the abiotic environment and 5.6 for the biotic environment.

With rapid urbanisation and industrialisation, land-use practice, while satisfying the ever-increasing desires of our material civilisation in the short term, may undermine natural ecosystems on a local, regional and global scale in the long run. Innovative and sustainable land-use practices should be developed in response, so that eco-environmental problems can assessed and dealt with during the whole process of land-use planning, construction, operation, maintenance and management. Using a bibliometric analysis, this study has traced global trends in land-use research from 1992 to 2016, as indexed in the Science Citation Index EXPANDED (SCI-EXPANDED) and the Social Sciences Citation Index (SSCI). A novel method called ‘word cluster analysis’ has revealed that hotspot analysis is one of the emerging techniques, tools and strategies used to respond to, improve, and protect deteriorating ecosystems during land use. Based on involving various elements, the emerging analytical techniques and tools, including geographical information systems (GIS) and remote sensing, have attracted attention for their ability to assess and solve increasingly serious eco-environmental problems, such as climate change, deforestation, soil erosion, greenhouse gas (GHG) emissions and eutrophication. Ecosystem services, biodiversity conservation, protected areas, and sustainable development are also potential resilience strategies used to confront eco-environmental destruction. The maximum benefits that can be derived from natural ecosystems should be pursued to achieve environmentally sustainable land-use development, strengthening the socio-economy and eco-environment, as well as enhancing the well-being of people and nature.

In this paper, magnetic ethylene diamine-functionalized graphene oxide (MDFGO) as a novel sorbent was synthesized and applied for removal of Pb(II) and Cd(II) from real wastewater samples. The morphology and molecular structure of MDFGO were studied by different analytical methods. The effective parameters in adsorption efficiency of Pb(II) and Cd(II) were studied and optimized using experimental design. Under the optimal condition, the effective parameters including pH, sorbent dosage, shaking rate, and adsorption time were 6.2, 33.0 mg, 500 rpm, and 11 min, respectively. Mechanism of adsorption kinetic was investigated using the Lagergren pseudo-first-order, pseudo-second-order, and intraparticle diffusion models. It was found that adsorption of lead and cadmium ions in the MDFGO sorbent followed from pseudo-first-order and pseudo-second-order models, respectively. Thermodynamic parameters (ΔG°, ΔH°, and ΔS°) for the lead and cadmium ions uptake onto the MDFGO sorbent were calculated and indicated that the adsorption processes were spontaneous and endothermic in nature for both cations. In order to investigate the isotherm model for adsorption of Pb(II) and Cd(II), the experimental data were studied using the Langmuir, Freundlich, and Harkins–Jura isotherm models. The results fitted well with Freundlich model for both metal ions. The new sorbent (MDFGO) was applied to remove Pb(II) and Cd(II) from battery wastewater and electroplating wastewater. The removal percentage of Pb(II) and Cd(II) were 99.6±0.5 and 99.4±0.6, respectively, and demonstrated that the new sorbent was very suitable for removal of lead and cadmium ion from the real wastewater samples.

The UK has adopted a broader approach to the introduction of Environmental Quality Standard (EQS) for the aquatic environment than many other jurisdictions around the world, with a greater focus on the implementation of scientifically derived standards. This follows the publication of a report by the Royal Commission on Environmental Pollution in 1998 which drew attention to the need to recognise that whilst an EQS is often just viewed as a numerical value, it also has other important characteristics that need to be recognised if it is to be a practical and effective regulatory tool. One of the aspects that has not always been recognised was that of implementation assessment, i.e. the steps needed to ensure that a standard actually delivers environmental benefit or improvements. In many jurisdictions, there is considerable technical and sometimes political emphasis on the numerical value of the EQS (e.g. the critical concentration in an environmental matrix like water), including the method of derivation, the scrutiny of the reliability and relevance of the ecotoxicity test data and extensive deliberations of unquantified uncertainties in relation to the choice of assessment factor. The regulatory value of an EQS only comes through a comparison against a measured environmental concentration, yet only relatively limited regulatory effort has historically been expended on this component of the classic environmental risk assessment paradigm. For example, there needs to be an acceptable (i.e. small) uncertainty in the EQS, an appropriate analytical method and detection limit in the correct matrix, a method to deliver a comparison with the EQS and a robust statistical method to draw unbiased conclusions about environmental risk. In addition, we argue that there is a case for checking the consequences of introducing a standard against field data, wherever possible. This validation of the EQS rarely happens currently. We explain what implementation assessment is and why it is needed. We give examples of how implementation assessment can be integrated with EQS derivation and also present examples of what happens when the focus is only upon the derivation of a numerical value. It is clear from this evidence that advances in derivation methods need to be coupled with practical solutions of implementation if we are to realise environmental benefit from an EQS in a cost-effective manner.

Several research studies reported that mycotoxins and other metabolites can be produced by fungi in certain matrices such as food. In recent years, attention has been drawn to the wide occurrence and identification of fungi in drinking water sources. Due to the large demand of water for drinking, watering, or food production purposes, it is imperative that further research is conducted to investigate if mycotoxins may be produced in water matrices. This paper describes the results obtained when a validated analytical method was applied to detect and quantify the presence of mycotoxins as a result of fungi inoculation and growth in untreated surface water. Aflatoxins B1 and B2, fumonisin B3, and ochratoxin A were detected at concentrations up to 35 ng/L. These results show that fungi can produce mycotoxins in water matrices in a non-negligible quantity and, as such, attention must be given to the presence of fungi in water.

Descriptor 9 (D9) of the European Union Marine Strategy Framework Directive refers to the compliance of contaminant levels in fish and other seafood of a defined marine region or subregion with human health threshold values. This requires georeferenced samples that are often difficult to obtain when relying on commercial fisheries or programs designed for monitoring human exposure. The present study examines whether georeferenced samples of blue mussel (Mytilus edulis) and eelpout (Zoarces viviparus) fillet of the German environmental specimen bank (ESB) can be used in this context. The suitability of the ESB samples, procedures, and analytical methods is evaluated with respect to D9 requirements. Based on ESB data for the D9 relevant contaminants Pb, Cd, Hg, ∑4 PAHs, PCDD/Fs, dioxin-like (dl)-PCBs, and indicator non-dl-PCBs and the potentially relevant substances TBT, PFOS, PBDE, and HBCDD, the Good Environmental Status for D9 is assessed at the ESB sites in the North and Baltic Seas. The overall evaluation indicates that ESB samples are suitable for D9 assessment with the limitation that only coastal areas of the North and Baltic Seas are covered. Over a period of up to 30 years, concentrations of the D9 relevant contaminants were well below the maximum levels allowed for human consumption.

Computational self-adapting methods (Support Vector Machines, SVM) are compared with an analytical method in effluent composition prediction of a two-stage anaerobic digestion (AD) process. Experimental data for the AD of poultry manure were used. The analytical method considers the protein as the only source of ammonia production in AD after degradation. Total ammonia nitrogen (TAN), total solids (TS), chemical oxygen demand (COD), and total volatile solids (TVS) were measured in the influent and effluent of the process. The TAN concentration in the effluent was predicted, this being the most inhibiting and polluting compound in AD. Despite the limited data available, the SVM-based model outperformed the analytical method for the TAN prediction, achieving a relative average error of 15.2% against 43% for the analytical method. Moreover, SVM showed higher prediction accuracy in comparison with Artificial Neural Networks. This result reveals the future promise of SVM for prediction in non-linear and dynamic AD processes. Graphical abstract ᅟ