Identification of characteristic organic contaminants in wastewaters from modern paper production sites and subsequent tracing in a river

Dsikowitzky, Larissa; Botalova, Oxana; Illgut, Sarah; Bosowski, Sylwana; Schwarzbauer, Jan

doi:10.1016/j.jhazmat.2015.07.001

Cited by 39 publications

(11 citation statements)

References 33 publications

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“…On the other hand, TMDD was quantified in 25% of the samples with a median concentration of 347 ng/L. This compound has so far been investigated in only 2 studies [18,28], and reported at mean concentrations of about 500 ng/L, which is in accordance with our study. Finally, anionic surfactants were the most frequently quantified, and at the highest concentrations, especially LAS.…”

Section: Application To Field Samplessupporting

confidence: 92%

A multi-family offline SPE LC-MS/MS analytical method for anionic, cationic and non-ionic surfactants quantification in surface water

Wiest

Giroud

Assoumani

et al. 2021

Talanta

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Section: Application To Field Samplessupporting

confidence: 92%

A multi-family offline SPE LC-MS/MS analytical method for anionic, cationic and non-ionic surfactants quantification in surface water

Wiest

Giroud

Assoumani

et al. 2021

Talanta

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“…15) are used as non-chlorinated substitutes for polychlorinated biphenyls (PCBs) and they are employed as colour sensitizers for manufacturing of thermal papers [69]. The eight different DIPN isomers were characterized in earlier studies [70]. DIPN were identified in process waters of paper manufacturing factories [69] and in water and fish sampled at the outfall of paper-recycling facilities [71,72].…”

Section: Emerging Organic Pollutantsmentioning

confidence: 99%

Structural diversity of organic contaminants in sewage sludge: a comparison of sewage fingerprints from Germany and China

et al. 2021

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Sewage sludge is formed during wastewater treatment and in recent years, the amount of sewage sludge increased rapidly all over the world. This sewage sludge is attractive for usage in agriculture as an inexpensive nitrogen and phosphorus fertilizer. However, there is only very limited knowledge about the spectrum of organic pollutants that might occur in sewage sludge and is probably posing a threat to the environment. We therefore conducted GC–MS based non-target screening analyses in order to identify a wide spectrum of organic contaminants in sludge samples from several wastewater treatment plants and to figure out corresponding finger-prints of pollution. The plants are located in Germany and China and have various capacities ranging from 35,000 to 1.1 million population equivalents. The special focus was to reveal information on the structural variety of individual organic compounds in sludge samples from the two countries. Several emerging pollutants including some fragrances, pharmaceutical educts, vitaminoids, technical additives were identified accompanied by compounds of biogenic origin. Some of these compounds have rarely been reported as constituents of sewage sludge to date and, consequently, are relevant candidates for more specific assessments including the ecotoxicological long-term effects. Based on the results of this study, it seems mandatory to establish non-target screening analyses on a regularly base as a tool for a comprehensive identification of the variety of anthropogenic organic constituents. Following, such contaminant spectrum can act as basis for further environmental risk assessments as well as to provide individual fingerprints for evaluation of impacts on ecosystems.

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“…Most scientific research focuses on the determination of specific compounds. There are only few reports in literature on the identification of non-target contaminants in the treated sewage (Gómez et al 2009;Kotowska et al 2012;Hug et al 2014;Dsikowitzky et al 2015;Hrubik et al 2016;Blum et al 2017;Gros et al 2017). This is due to the fact that the analysis of these kinds of contaminants is complicated, time consuming, and represents a real challenge for environmental analysts.…”

Section: Non-target Analysismentioning

confidence: 99%

“…In general for the analysis of pharmaceuticals in wastewater, it is appropriate to use GC; however, degradation products of some of those compounds may be thermolabile and decompose during GC analysis as it is in the case of carbamazepine and its degradation product iminostilbene (Gómez et al 2009). The compound's spectrum that is detectable with the use of GC-MS method is restricted to volatile, low-molecular weight non-polar to semi-polar organic substances (Dsikowitzky et al 2015). Additionally, the use of GC 9 GC allowed better separation of the analytes from interferences in complex samples without extensive sample preparation (Blum et al 2017).…”

Section: Non-target Analysismentioning

confidence: 99%

Micropollutants in treated wastewater

Rogowska

Cieszyńska-Semenowicz

Ratajczyk

et al. 2019

Ambio

196

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Compounds such as pharmaceuticals, or personal care products are only partially removed in wastewater treatment processes. Large number of these compounds and their degradation products is out of any control. A small number of compounds are covered by legal regulations. Among the compounds non-regulated by law, the target compounds, as well as non-target compounds can be distinguished. In the scientific literature, number of reports on various target compounds' determination is increasingly growing. This paper provides an up-to-date review on micropollutants present in treated wastewater and their concentrations found in literature in the years 2015-2019. Because the obtained results of chemical analyses do not adequately reflect the risks to ecosystems and consequently humans, the results of chemical analyses have been supplemented by a review of ecotoxicological studies. In addition, legal issues linked to contamination of treated wastewater and research related to identification of non-target compounds in treated effluents have been discussed.

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Identification of characteristic organic contaminants in wastewaters from modern paper production sites and subsequent tracing in a river

Cited by 39 publications

References 33 publications

A multi-family offline SPE LC-MS/MS analytical method for anionic, cationic and non-ionic surfactants quantification in surface water

A multi-family offline SPE LC-MS/MS analytical method for anionic, cationic and non-ionic surfactants quantification in surface water

Structural diversity of organic contaminants in sewage sludge: a comparison of sewage fingerprints from Germany and China

Micropollutants in treated wastewater

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