首页 | 本学科首页   官方微博 | 高级检索  
     检索      

光催化技术防治花卉炭疽病菌害的研究
引用本文:王和才,朱永法,张立武.光催化技术防治花卉炭疽病菌害的研究[J].安徽农业科学,2008,36(35).
作者姓名:王和才  朱永法  张立武
作者单位:1. 苏州农业职业技术学院,江苏苏州,215008
2. 清华大学分析中心,北京,100084
基金项目:国家自然科学基金,苏州农业职业技术学院自然科学基金 
摘    要:目的]寻找新的广谱性、环保型花卉炭疽病防治方法。方法]研究实验室模拟太阳光下纳米TiO2光催化剂对花卉炭疽病菌的杀灭效果,探讨催化剂浓度、使用量、光照时间和光照强度对杀菌效果的影响。结果]当纳米TiO2光催化剂浓度为1.0%时,其杀菌效果达到92.0%;当纳米TiO2光催化剂用量为1.25 ml时,其杀菌效果最好,达87.3%;随光照时间的延长或光照强度的增强,纳米TiO2光催化剂的杀菌效率提高。在催化剂浓度为1.0%,用量为1.25 ml的条件下,用光辐照强度为254 nm:23.9μW/cm2、297 nm:2.7μW/cm2、365 nm:101.2μW/cm2、420 nm:118μW/cm2,光通量86.3×102lm的卤灯辐照2 h,对真菌的杀灭效果近100%。结论]纳米TiO2光催化剂具有良好的光催化活性,在实验室模拟太阳光下对花卉炭疽病菌有较强的杀灭作用。

关 键 词:光催化氧化  炭疽病菌  灭菌效果

Study on the Control of the Flower Bacteria Anthrax with Photocatalytic Technology
Abstract:Objective] The controlling method of new type of flower anthrax bacteria was researched.Method] The effect of the flower anthrax bacteria with the nano-TiO2 photocatalyst under the simulation of the sunlight in laboratory was researched including the concentration and application amount of catalyst.Results] The results showed that the controlling efficiency was 92.0% while the concentration of the nano-TiO2 photocatalyst was 1.0%;the best efficiency,87.3% while the amount of nano-TiO2 photocatalyst was 1.25 ml;and with the increment of the time or intensity of light,the effect of nano-TiO2 photocatalyst was gradually strengthened.100% controlling efficiency of the flower anthrax bacteria could be produced with the halogen lamp with the luminous flux of 86.3×102 lm,the light intensity of 254 nm:23.9 μW/cm2,297 nm:2.7 μW/cm2,365 nm:101.2 μW/cm2 or 420 nm:118 μW/cm2,under the condition of the concentration of the 1.0% nano-TiO2 photocatalyst and the amount of 1.25 ml nano-TiO2 photocatalyst for two hours treatment.Conclusion] The nano-TiO2 photocatalyst had good activity and strong killing ability to flower anthrax bacteria under the simulation of the sunlight in laboratory.
Keywords:Photocatalytic oxidation  Anthrax bacteria  Sterilization
本文献已被 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号