Predicting the joint algal toxicity of multi-component s-triazine mixtures at low-effect concentrations of individual toxicants

Faust, Martin L.; Altenburger, Rolf; Backhaus, Thomas; Blanck, Hans; Boedeker, Wolfgang; Gramatica, Paola; Hamer, V; Scholze, Martin; Vighi, Marco; Grimme, L. Horst

doi:10.1016/s0166-445x(01)00187-4

Cited by 372 publications

(280 citation statements)

References 51 publications

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“…Several studies have applied both CA and IA in evaluating the predictability of mixture effects (Backhaus et al, 2000a(Backhaus et al, , b, 2003Faust et al, 2001Faust et al, , 2003Arrhenius et al, 2004). The results indicate that IA produces accurate predictions of the effects of multi-component mixtures of strictly dissimilarly acting toxicants tested on algae and bacteria.…”

Section: Choice Of Reference Model For Quantifying and Predicting MIXmentioning

confidence: 99%

Mixture toxicity of three toxicants with similar and dissimilar modes of action to Daphnia magna

Syberg

Elleby

Pedersen

et al. 2008

Ecotoxicology and Environmental Safety

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Section: Choice Of Reference Model For Quantifying and Predicting MIXmentioning

confidence: 99%

Mixture toxicity of three toxicants with similar and dissimilar modes of action to Daphnia magna

Syberg

Elleby

Pedersen

et al. 2008

Ecotoxicology and Environmental Safety

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“…Exposure of Nito the fish may cause significantly adverse effects on the growth of C. mrigala (Shafiq et al, 2012) causing disturbance in its ionic and acid-base regulations, disruption of gill tissue and hypoxia (Hogstrand et al, 1994) and ultimately causing adverse effects on growth and bioenergetics (Abdel-Baki et al, 2011;Godwin et al, 2011;Azmat et al, 2012;Javed, 2012). However, metallic ions toxicity in water does not happen due to single metal only but establish in a mixture form (Faust et al, 2001; and their effects are enhanced due to interactions among constituent metals to compete for binding sits in the organisms (Otitoloju et al, 2009).…”

Section: Discussionmentioning

confidence: 99%

Growth and Metals Depuration in Zn+Pb+Ni Mixture Stressed Fish Grown under Composite Pond Culture Conditions

Javed¹

2015

IJAB

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To cite this paper: Javed, M., 2015. Growth and metals depuration in Zn+Pb+Ni mixture stressed fish grown under composite pond culture conditions. Int. J. Agric AbstractThe growth performance and metals depuration abilities of Zn+Pb+Ni stressed five fish species viz. Cirrhina mrigala, Hypophthalmichthys molitrix, Labeo rohita, Ctenopharyngodon idella and Catla catla were studied under composite pond culture conditions. All fish species were stressed with metals mixture at their 1/3 rd LC 50 for one month. After stress, the fish were grown in ponds under composite culture conditions for 120 days to realize their growth and metals depuration potentials when grown in stress-free environment. Among treated fish, C. mrigala exhibited significantly better growth, followed by L. rohita, C. idella, H. molitrix and C. catla while growth in control fish followed the order: C. catla ≥ L. rohita > C. mrigala > C. idella > H. molitrix. Both control and treated fish species displayed significant variations in their weight, length, condition factor and specific growth rates that correlated positively (p<0.01) with water temperature and feed conversion efficiency (FCE). Rearing of treated fish in metals deprived environment caused variable retention of selected metals in their body organs as kidney > liver > skin > muscle > fins ≥ gills ≥ bones. C. idella retained significantly higher metals in its body, followed by C. catla and H. molitrix with non-significant differences. Pb retention was significantly higher in fish body, followed by Zn and Ni. The liver of treated fish showed significantly higher depuration of metals (94.06%) while it was lowest (66.06%) in bones. C. catla exhibited significantly higher metal's depuration tendency (96.44%), followed by L. rohita (93.11%), C. idella (93.02%), C. mrigala (89.35%) and H. molitrix (82.60%) with significant differences at p < 0.05. The tendency of fish to depurate Pb from its body was significantly higher (177.94%), followed by Zn (131.13%) and Ni (38.26%).

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“…Furthermore, a large body of literature data is available concerning the prediction of the joint effect of mixtures of pesticides based on their individual impacts and specific modes of action [85,86]. Concentration addition (CA) and independent action (IA) model are the most commonly used models to predict mixture effects for similar-and dissimilar-acting compounds, respectively.…”

Section: Tlili Et Al (2011) [89]mentioning

confidence: 99%

“…These facts make them ideal candidates for testing mixture models based on the chemical mode of action and understanding the physiological mechanisms behind possible interactions [85,90]. Mixture toxicity studies focused on single species [85,86], natural communities in laboratory experiments [3,82,91], or outdoor microcosms and mesocosms [83,[92][93][94] data. Many reviews and critical analysis have shown that synergistic interactions within pesticide mixtures and realistic low-dose chemical mixtures in species are a rather rare phenomenon, constituting very low percentages of the tested mixture combinations and often occurs at high concentrations [87,[95][96][97][98][99][100][101].…”

Section: Tlili Et Al (2011) [89]mentioning

confidence: 99%

Effects on the Photosynthetic Activity of Algae after Exposure to Various Organic and Inorganic Pollutants: Review

Petsas¹,

Vagi²

2017

Chlorophyll

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Algal studies remain necessary for risk assessment and their utility in ecotoxicology is the evaluation of lethal and sub-lethal toxic effects of potential toxicants on inhabitants of several ecosystems. Effects on algal photosynthetic apparatus caused by various chemical species have been extensively studied. The present chapter summarizes the published data concerning the toxicity of various organic and inorganic pollutants such as oils, pesticides, antifoulants and metals on photosynthesis of aquatic primary producers. Biochemical mode of action resulting in the disruption of photosynthesis depends on the chemical's nature and the characteristics of the exposed microorganism. Observed differences in response and sensitivity by different species to the same toxicant were attributed to several algal characteristics including photosynthetic capacity, pigment type, cellular lipid and protein content, and cell size. Single species bioassays either for one chemical alone or in mixture have been well reported and tolerance of both marine and freshwater water-column phytoplaktonic species has been examined. Adequate published information on multispecies tests (communities) in laboratory and field studies exists. However, risk assessment on photosynthesis of microbenthic periphyton is inadequate, though it is essential especially for hydrophobic organic molecules. Further studies are required to evaluate the adverse effects of metabolites on aquatic microalgae.

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Predicting the joint algal toxicity of multi-component s-triazine mixtures at low-effect concentrations of individual toxicants

Cited by 372 publications

References 51 publications

Mixture toxicity of three toxicants with similar and dissimilar modes of action to Daphnia magna

Mixture toxicity of three toxicants with similar and dissimilar modes of action to Daphnia magna

Growth and Metals Depuration in Zn+Pb+Ni Mixture Stressed Fish Grown under Composite Pond Culture Conditions

Effects on the Photosynthetic Activity of Algae after Exposure to Various Organic and Inorganic Pollutants: Review

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