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In the present study, the effect of eight pesticides with no ecotoxicological data on the growth rate of Chlorella vulgaris was measured. The selected pesticides are acetochlor, acetamiprid, boscalid diphenamid, gibberellic acid, ioxynil, diclofop and 2,4,5-T. The algal toxicity (IC ) of boscalid could not be determined within its solubility limit. Acetamiprid, diphenamid and gibberellic acid revealed IC values>100 mg/L. Among the others, the order of 96-h IC of pesticides was found as acetochlor>ioxynil>diclofop>2,4,5-T. The IC values were also predicted by using four Quantitative Structure-Activity/(Toxicity) Relationship (QSA/(T)R) models selected from the literature. The predictions of the models provided by QSARINS-Chem module of QSARINS as well as those obtained in our previous studies were compared with the results of experimental algal toxicity tests that were performed in our laboratory. The QSTR model generated for the toxicity of diverse chemicals to freshwater algae was able to correctly predict the toxicity order of the pesticides tested in the present study, confirming the utility of the QSA/(T)R approach. Additionally, Persistence, Bioaccumulation and Toxicity (PBT) Index model provided via the software QSARINS was employed and boscalid and diclofop were found to be PBT chemicals based on the PBT model. The present study will be very helpful when a more holistic approach applied to understand the fate of these chemicals in the environment.
This article was published in the following journal.
Name: Molecular informatics
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A systematic collection of factual data pertaining to the nutritional status of a human population within a given geographic area. Data from these surveys are used in preparing NUTRITION ASSESSMENTS.
Synthesis, metabolism, and poisoning associated with drugs, pharmaceuticals, and other active molecules. Toxicological phenomena also include the adverse effects of physical phenomena such as RADIATION and NOISE.
Information or data used to ensure the safe handling and disposal of substances in the workplace. Such information includes physical properties (i.e. melting, boiling, flashing points), as well as data on toxicity, health effects, reactivity, storage, disposal, first-aid, protective equipment, and spill-handling procedures.
The properties and processes of drug, toxin, and poison metabolism, and their interactions and effects on biological systems. Toxicological phenomena also include the adverse effects of physical phenomena such as RADIATION and NOISE.
Information application based on a variety of coding methods to minimize the amount of data to be stored, retrieved, or transmitted. Data compression can be applied to various forms of data, such as images and signals. It is used to reduce costs and increase efficiency in the maintenance of large volumes of data.