首页> 中文期刊>青岛农业大学学报(自然科学版) >联苯菊酯纳米乳液助剂筛选及其数学模型的建立

联苯菊酯纳米乳液助剂筛选及其数学模型的建立

     

摘要

本研究结合纳米乳液形成机制及其影响因素,确定了联苯菊酯纳米乳最适表面活性剂为602#和500#,最适助表面活性剂为正丁醇;通过研究联苯菊酯纳米乳液形成过程中表面活性剂、助表面活性剂与联苯菊酯最大加入量的关系,利用多元回归处理分析方法,建立了三者之间的数学模型:Y=- 6.0990+1.4105Xc+0.7271Xs,其中Y、Xc、Xs分别为联苯菊酯的最大加入量、正丁醇和表面活性剂的质量百分比.本模型适用范围为:温度20.0~40.0℃;Xc:1%~3.5%;Xs:10% ~ 15%.%The optimum surfactants of bifenthrin nano - emulsions were 602# and 500#, the cosurfactant was n -butyl alcohol, which were developed through the formation mechanism and the factors existed in nano - emulsions. Research was conducted on the relationship between the concentrations of the surfactant and n - butyl alcohol on the maximum amount of bifenthrin that could be added during formation of nano - emulsions. Multivariable regression analysis was used to establish a mathematical model; Y = -6. 0990 + 1. 4105Xc +0. 727lXs, Y and Xc and Xs were the maximum amount of bifenthrin and the mass percent of n - butyl alcohol and surfactant respectively. The application range as follows: at 20.0-40℃; Xc: 1% -3.5%; Xs: 10% -15%.

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