...
首页> 外文期刊>Journal of environmental science and health >Insecticidal activity of phenolic acid amides against brown planthopper (BPH), Nilaparvata lugens (Stal) and their QSAR analysis
【24h】

Insecticidal activity of phenolic acid amides against brown planthopper (BPH), Nilaparvata lugens (Stal) and their QSAR analysis

机译:酚酰胺对褐飞虱(BPH),褐飞虱(Stal)的杀虫活性及其QSAR分析

获取原文
获取原文并翻译 | 示例
           

摘要

A series of 42 phenolic acid amides, synthesized using different phenolic acids (salicylic acid, 3-hydroxy cinnamic acid, p-coumaric acid, caffeic acid, ferulic acid, o-coumaric acid, cinnamic acid and amines (propyl amine, hexyl amine, heptyl amine, undecyl amine, hexadecyl amine, octadecyl amine) were screened for their insecticidal activities against Brown Planthopper (BPH), Nilaparvata lugens. These phenolic acid amides showed moderate to good insecticidal activity with the lowest LC50 value of 63.84ppm from N-propyl-2-hydroxycinnamamide. 2D-Quantitative structural activity relationship (2D-QSAR) analysis of these phenolic acid amides was carried out by developing three different models namely multiple linear regression (MLR), principal component regression (PCR) and partial least squares (PLS). Statistical significance and predictive ability of these models were assessed by internal and external validation and verified by leave one-out cross-validation. PLS (model 3) was found best for QSAR study with correlation coefficient (r(2)) 0.8388, cross-validated correlation coefficient (q(2)) 0.7797 and r(2) pred 0.7347. It was found that+vePotentialSurfaceArea, XAMostHydrophobic, SaasCE-index, T_O_O_3 and T_O_O_6 are the major descriptors which influence the insecticidal activities of these phenolic acid amides. The QSAR study could help in structural optimization of phenolic acid amides in developing potential compounds to get better bioefficacy against N. lugens.
机译:使用不同酚酸(水杨酸,3-羟基肉桂酸,对香豆酸,咖啡酸,阿魏酸,邻香豆酸,肉桂酸和胺类(丙胺,己胺,筛选了庚胺,十一烷基胺,十六烷基胺,十八烷基胺对褐飞虱,褐飞虱的杀虫活性,这些酚酰胺显示出中等至良好的杀虫活性,最低的LC50值为N-丙基,为63.84ppm。 -2-羟基肉桂酰胺通过开发三种不同的模型,即多元线性回归(MLR),主成分回归(PCR)和偏最小二乘(PLS),对这些酚酰胺进行了二维定量结构活性关系(2D-QSAR)分析)。通过内部和外部验证评估了这些模型的统计显着性和预测能力,并通过留一法交叉验证进行了验证,发现存在PLS(模型3)用于相关系数(r(2))0.8388,交叉验证的相关系数(q(2))0.7797和r(2)pred 0.7347的QSAR研究的t。发现+ vePotentialSurfaceArea,XAMostHydrophobic,SaasCE-index,T_O_O_3和T_O_O_6是影响这些酚酰胺类杀虫活性的主要指标。 QSAR研究可以帮助开发潜在化合物的酚酰胺结构优化,从而获得更好的抗猪笼草生物功效。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号