Toxicity of Paraquat and Dicamba on Caenorhabditis Elegans LC50 Value

Alper Zöngür; Musa Sari

doi:10.17776/csj.1150823

EN

Toxicity of Paraquat and Dicamba on Caenorhabditis Elegans LC50 Value

Abstract

Paraquat and dicamba are chemicals commonly used in agriculture for plant control. The US Environmental Protection Agency (EPA) has classified paraquat into a restricted use class for use only by practitioners, as it is highly toxic. In this study, the effects of different concentrations of paraquat and dicamba toxic substances on C. elegans were studied. In tests, C. elegans were directly exposed to different concentrations of paraquat and dicamba for 6h, 12h, 18h, 24h. In particular, it was determined at which paraquat and dicamba doses that half of the C. elegans individuals (LC50) died. In the analysis results, paraquat LC50 values were found as LC50 6h= LC50 6h= 7412 µM, LC50 12h= 459 µM, LC50 18h= 123 µM, LC50 24h= 61 µM. Similarly, dicamba LC50 values were found as LC50 6h= 14610 µM, LC50 12h= 1404 µM, LC50 18h= 906 µM, LC50 24h= 463 µM.

Keywords

References

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Details

Primary Language

English

Subjects

Structural Biology

Journal Section

Research Article

Authors

Alper Zöngür ^*
0000-0003-4946-3199
Türkiye

Musa Sari
0000-0002-6431-643X
Türkiye

Publication Date

March 26, 2023

Submission Date

July 29, 2022

Acceptance Date

February 24, 2023

Published in Issue

Year 2023 Volume: 44 Number: 1

DOI

https://doi.org/10.17776/csj.1150823

IZ

https://izlik.org/JA52YC53FF

Cite

RIS / Bibtex

APA

Zöngür, A., & Sari, M. (2023). Toxicity of Paraquat and Dicamba on Caenorhabditis Elegans LC50 Value. Cumhuriyet Science Journal, 44(1), 7-12. https://doi.org/10.17776/csj.1150823

Cited By

Multigenerational Toxicity Prediction Using Graph Neural Networks and Biotransformation Analysis

ACS ES&T Water

https://doi.org/10.1021/acsestwater.5c00828

Toxicity of Paraquat and Dicamba on Caenorhabditis Elegans LC50 Value

Abstract

Keywords

Öz

References

Details

Primary Language

Subjects

Journal Section

Authors

Publication Date

Submission Date

Acceptance Date

Published in Issue

DOI

IZ

Cite

Cited By

Multigenerational Toxicity Prediction Using Graph Neural Networks and Biotransformation Analysis