Heavy metals are among the most commonly encountered environmental pollutants today. All ecosystems on earth particularly in aquatic ecosystems are affected negatively by the toxic effects of heavy metals that are creating. Unlike many of the lab works, metals do not exist separately in nature. Most of the time, a single pollution source is responsible for landfills of more than one metal at the same time. This case leads many living creatures to exposure of more than one metal, not a single metal. Parallel to this, combined toxic effects of heavy metals on living creatures are seen. For living creatures, the effect seen when exposed to heavy metals separately and the effect seen when they are exposed to more than one heavy metal at the same time are often different. This is known as the combined toxic effects.The aim of this study is to determine the combined toxic effects of Cd and Pb on Lemna Minor cultured in mussels obtained from natural environment. 5 different doses Cd and Pb are given to the living in all combinations, both one by one and in a combined way. L. Minor used in this study is extremely important bioindicator species often used in toxicity studies. At the end of the study, the effect seen when exposed to heavy metals separately and the effect seen when they are exposed to more than one heavy metal at the same time are compared. This comparison is done through an increase in the number of leaves. As a result, a synergistic effect is observed in 0.5 mg / l of Cd and Pb concentration. While depending on the concentration increase in 1 mg/l and 2 mg/l concentration a decrease is seen on the number of synergistic effects, in 4 mg / l maximum concentration, synergistic increase is seen again. In 0,1 mg/l lowest concentration, effects are found as additive for all combinations. For the whole study in any case which has the antagonistic effect is not mentioned. According to the growth prediction model created by a regression analysis, cubic which is the most suitable for all models, that is 3 degrees models estimate growth with the highest R2 value. All models of the r2 values are found to be greater than 0.99.
2017
Burak, U.
Heavy metals are among the most commonly encountered environmental pollutants today. All ecosystems on earth particularly in aquatic ecosystems are affected negatively by the toxic effects of heavy metals that are creating. Unlike many of the lab works, metals do not exist separately in nature. Most of the time, a single pollution source is responsible for landfills of more than one metal at the same time. This case leads many living creatures to exposure of more than one metal, not a single metal. Parallel to this, combined toxic effects of heavy metals on living creatures are seen. For living creatures, the effect seen when exposed to heavy metals separately and the effect seen when they are exposed to more than one heavy metal at the same time are often different. This is known as the combined toxic effects.The aim of this study is to determine the combined toxic effects of Cd and Pb on Lemna Minor cultured in mussels obtained from natural environment. 5 different doses Cd and Pb are given to the living in all combinations, both one by one and in a combined way. L. Minor used in this study is extremely important bioindicator species often used in toxicity studies. At the end of the study, the effect seen when exposed to heavy metals separately and the effect seen when they are exposed to more than one heavy metal at the same time are compared. This comparison is done through an increase in the number of leaves. As a result, a synergistic effect is observed in 0.5 mg / l of Cd and Pb concentration. While depending on the concentration increase in 1 mg/l and 2 mg/l concentration a decrease is seen on the number of synergistic effects, in 4 mg / l maximum concentration, synergistic increase is seen again. In 0,1 mg/l lowest concentration, effects are found as additive for all combinations. For the whole study in any case which has the antagonistic effect is not mentioned. According to the growth prediction model created by a regression analysis, cubic which is the most suitable for all models, that is 3 degrees models estimate growth with the highest R2 value. All models of the r2 values are found to be greater than 0.99.
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