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Interactive surface chemistry studies of methodyl ester adjuvants and selected targets yeld a new methodology to guide formulators

机译:方法烷基酯佐剂和选定目标的交互式表面化学研究产生了指导配方设计师的新方法

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Adjuvants formulation has progrressed in an Edisonian fashion. Few guidelines exist to determine which surfactants and solvents should be combined to give a high performance adjuvant. Surface chemistry ahas a pronounced effect on the adjuvant's delivery of active via wetting and spereading, and emulsion stability upon dilution of the concentrated adjuvant. The surface chemical properties of the filiage substrate also have an effect on delviery. Certain surfactants interact synergistically to improve wetting and emulsion stability. This paper presents surface chemical data on methyl ester adjuvants and surfactants. The data has been obtained through the use of advanced testing methods such as the Owens-Wendt analysis and the Beta (beta )-parameter technique. This information can be used to guide formulation in a quantitative fashion to make better adjuvant concentrates yeidling more efficacious results. Instead of randomly selecting surfacetants, ones that interact synergistically (verified through beta -parameter calculation and simple surface chemical experimentation) can be utested. Surfactants that interact antagonistically should not be tested. Also, surfactants with the requisite total, polar and dispersive surface energies realtive to the substrate are selected for early evaluation.
机译:佐剂的配方以爱迪生的方式发展。几乎没有准则来确定应将哪些表面活性剂和溶剂混合以提供高性能的佐剂。表面化学对佐剂通过润湿和分散的活性传递以及稀释浓缩的佐剂后的乳液稳定性具有显着影响。丝状基质的表面化学性质也对起毛作用有影响。某些表面活性剂协同相互作用以改善润湿性和乳液稳定性。本文介绍了有关甲酯助剂和表面活性剂的表面化学数据。数据是通过使用高级测试方法(例如Owens-Wendt分析和Beta(β)参数技术)获得的。该信息可用于以定量方式指导配方,以制备更好的佐剂浓缩物,从而获得更有效的结果。代替随机选择表面活性剂,可以使用协同作用的表面活性剂(通过β参数计算和简单的表面化学实验验证)。具有拮抗作用的表面活性剂不应进行测试。同样,选择具有对底物有效的必要的全部,极性和分散表面能的表面活性剂以进行早期评估。

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