含吡唑甲酰胺基E-β-法尼烯类似物的设计、合成及生物活性

为发现防治蚜虫的新型活性化合物,以蚜虫报警信息素E-β法尼烯(EBF)为先导,设计合成了20个未见文献报道的含吡唑环甲酰胺基EBF类似物,所有化合物结构均通过1H NMR,IR及HRMS确证.初步生物活性研究表明,部分目标化合物对五日龄豆蚜(Aphis craccivora Koch)在600mg/L时表现出较好的杀虫活性,其中5a及5k对豆蚜活性与商品化药剂氟虫腈及先导化合物EBF相当,甚至优于EBF.对影响目标化合物的活性因素进行了初步探讨.     

新型含氮五元杂环E-β-法尼烯类似物的合成及生物活性研究

为了寻求新型蚜虫防治先导化合物, 以蚜虫报警信息素的主要成分E-β-法尼烯(E-β-farnesene, 简称EBF)的骨架结构为母体, 分别用N-氰基-亚胺基-1,3-噻唑烷、2-噻唑硫酮、2-羰基-1,3-噁唑烷、1-取代-2-硝基亚胺基-1,3-咪唑烷等含氮五元杂环取代EBF中的共轭双键, 设计合成了8个未见文献报道的EBF类似物, 其结构均经¹H NMR, IR和元素分析确证, 并分析比较了不同类型杂环的化学反应和生物活性差异. 初步生物活性试验结果表明, 目标化合物对蚜虫具有一定的生物活性, 其中4e在5个测试浓度下的活性均优于对照药剂; 有意思的现象是, 一些在高浓度(1000 μg/mL)下活性低于对照药剂噻虫啉的目标物(如 4a～4c, 4f～4h), 在低浓度(如62.5 μg/mL)下对蚜虫的生物活性反而高于对照药剂.     

蚜虫报警信息素EBF的合成

[反]－β－法尼烯（E－β－Farnesene,简称EBF）是许多蚜虫报警信息素的主要成份，可用于控制蚜虫危害，本文从起始原料的角度，着重从橙花叔醇，法尼醇，月桂烯和香叶基溴四类主要原料，总结了蚜虫报警信息素EBF的合成方法研究进展，并对各种方法进行了简要评述。     

[反]-β-法尼烯类似物的设计、合成与生物活性研究

对[反]-β-法尼烯(EBF)类似物的骨架结构原子进行改造,引入吡虫啉系列活性基团,设计合成了13个结构新颖的EBF类似物,并对其生物活性进行了研究.结果表明,这些化合物对蚜虫具有明显的抑制活性,尤其在低浓度时活性更明显,如质量浓度为25mg/L时,I₁₀和I₁₃对蚜虫的抑制率分别为93.1%和87.1%,远高于同浓度下吡虫啉的抑制率(66.7%).     

A Prediction Model for Skin Wound Suture Forces With Uncertain Material Parameters北大核心CSCD

To evaluate the forces required for the suture of skin wounds quickly and effectively, the nonlinear finite element method was used to calculate the suture forces for skin wounds with different sizes and material parameters. With the calculated results as samples, the prediction model for skin wound suture forces was constructed by means of the EBF neural network model. Given the uncertain skin material parameters influencing the reliability of numerical results, the Monte-Carlo method was used to analyze the uncertainty propagation of skin material parameters. Finally, the prediction analysis and measuring experiment of wound suture forces were carried out with pig skin specimens to verify the reliability of the method. The results showed that, the suture force increases first and then decreases according to the suture point sequence, and the peak force occurs before the center of the wound. For a 40 mm×10 mm wound, the peak suture force is about 1.7 N, and that for a 40 mm×14 mm wound is about 2.5 N. Influenced by the uncertainty of material parameters, the prediction results of suture forces fluctuate by as much as ±0.6 N. The proposed theoretical prediction model provides an effective solution to the problem of parameter uncertainty propagation for biological soft tissue materials such as skins, and makes an important mechanical reference for robotic surgical suture. © 2023 Editorial Office of Applied Mathematics and Mechanics. All rights reserved.