In the search for toxic compounds against Aedes aegypti L. (Diptera: Culicidae) larvae, a collection of commercially available aromatic and aliphatic diversely substituted compounds were selected and evaluated. p-Cymene exhibited the highest larvicidal potency LC₅₀ = 51 ppm, whereas 1,8-cineole exhibited the lowest activity value LC₅₀ = 1419 ppm. To aid future work on the search for larvicidal compounds, the structure-toxicity relationships of this collection have been evaluated. The presence of lipophilic groups results in an overall increase in potency. In general, the presence of hydroxyl groups resulted in less potent compounds. However, methylation of such hydroxyls led to an overall increase in potency. The most potent compounds showed comparably good larvicidal activity in A. aegypti larvae as other terpenes, which we assume to be the result of the increased lipophilicity.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1089/vbz.2009.0158 | DOI Listing |
Toxicol Appl Pharmacol
December 2024
Department of Predictive Toxicology, Korea Institute of Toxicology, 141 Gajeong-ro, Yuseong-gu, Daejeon 34114, Republic of Korea; Department of Human and Environmental Toxicology, University of Science and Technology, Daejeon, Republic of Korea; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA. Electronic address:
New approach methods (NAMs) are required to predict human toxicity effectively, particularly due to limitations in conducting in vivo studies. While NAMs have been established for various industries, such as cosmetics, pesticides, and drugs, their applications in natural products (NPs) are lacking. NPs' complexity (multiple ingredients and structural differences from synthetic compounds) complicates NAM development.
View Article and Find Full Text PDFSci Total Environ
December 2024
School of Pharmacy, Lanzhou University, Lanzhou 730000, China; Hubei Key Laboratory of Environmental and Health Effects of Persistent Toxic Substances, School of Environment and Health, Jianghan University, Wuhan 430056, China. Electronic address:
The study aimed to assess the impacts of ionic liquids (ILs) as innovative alternatives to traditional organic solvents on aquatic environments and human health. Five machine learning methods, including multiple linear regression (MLR), partial least squares regression (PLS), random forest regression (RF), support vector regression (SVR), and extreme gradient boosting (XGBoost), were used to construct the prediction models of the toxicity of ILs to D. magna, D.
View Article and Find Full Text PDFToxicon
December 2024
Department of Natural Medicine, School of Pharmacy, Fudan University, Shanghai, 201203, China. Electronic address:
Bioorg Med Chem
November 2024
Division of Computer Aided Drug Design, Department of Pharmaceutical Chemistry, R. C. Patel Institute of Pharmaceutical Education and Research, Shirpur, Dhule 425405, Maharashtra, India. Electronic address:
Antioxidants (Basel)
November 2024
Departamento de Farmacia, Facultad de Química y de Farmacia, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!