QSAR models for insecticidal properties of plant essential oils on the housefly (Musca domestica L.)

被引:4
|
作者
Duchowicz, P. R. [1 ]
Bennardi, D. O. [2 ]
Ortiz, E., V [3 ]
Comelli, N. C. [4 ,5 ]
机构
[1] UNLP, CONICET, Inst Invest Fisicoquim Teor & Aplicadas INIFTA, La Plata, Argentina
[2] Fac Ciencias Agr & Forestales, Catedra Quim Organ, La Plata, Argentina
[3] Univ Nacl Catamarca, Fac Tecnol & Ciencias Aplicadas, CONICET, Inst Monitoreo & Control Degradac Geoambiental IM, Catamarca, Argentina
[4] Univ Nacl Catamarca, CONICET, Ctr Invest & Transferencia Catamarca CITCA, Catamarca, Argentina
[5] Univ Nacl Catamarca, Fac Ciencias Agr, Catamarca, Argentina
关键词
Quantitative structure-activity relationships; Musca domestica L; essential oils; insecticidal activity; molecular descriptors;
D O I
10.1080/1062936X.2021.1905711
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The fumigant and topical activities exhibited by 27 plant-derived essentials oils (EOs) on adult M. domestica housefly are predicted through the Quantitative Structure-Activity Relationship (QSAR) theory. These molecular structure based calculations are performed on 253 structurally diverse compounds from the EOs, where the number of constituents in each essential oil mixture varies between 2 to 24. A large number of 86,048 non-conformational mixture descriptors are derived as linear combinations of the molecular descriptors of the EO components. Two strategies are compared for the mixture descriptor formulation, which consider or avoid the use of the chemical composition. The multivariable linear regression QSAR models of the present work are useful for fumigant and topical applications, describing predictive parallelisms for the insecticidal activity of the analysed complex mixtures.
引用
收藏
页码:395 / 410
页数:16
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