Importance of adjuvant formulation properties in predicting wetting on leaf surfaces

BACKGROUNDLeaf wettability can be a barrier to retention of agrichemical sprays. Adjuvants are used to modify leaf wetting by sprays to enhance retention. A previous study developed a model that accurately predicted nonadjuvant formulation wetting (contact angle) on both synthetic and leaf surfaces. Model inputs were the surface properties, roughness and polarity, as measured by the wetting tension dielectric method, coupled with the formulation properties, surface tension and dielectric constant. Preliminary work has indicated that the wetting ability of adjuvant formulations on different surfaces could be modelled in a similar way if the effect of adjuvants on solution polarity could be accurately quantified. RESULTSThe wetting of nine agrichemical adjuvants, at a range of concentrations, were measured on seven synthetic and 14 leaf surfaces. A novel method was developed to quantify the interfacial dielectric polarity (IDP) of adjuvant formulations. Adjuvant concentration did not change the IDP indicating the surface-active surfactant molecules migrate to the interface, loading until saturation. Formulation properties of surface tension and IDP were found to be strong predictors of wetting in conjunction with surface properties of the substrate. The previously developed unaltered comprehensive wetting model could predict the wetting of adjuvant formulations on synthetic and leaf surfaces (R-2 = 0.9) using these inputs. CONCLUSIONSWetting of adjuvant formulations can be modelled for a wide range of surfaces and this model is expected to advance the selection, and development, of adjuvants to target specific surfaces generating the desired wetting outcome. (c) 2022 Society of Chemical Industry.

Automated summary

The study developed a model that accurately predicted the wetting of adjuvant formulations on different surfaces by combining surface properties measured with the wetting tension dielectric method and formulation properties. The comprehensive wetting model could successfully predict the wetting of adjuvant formulations on synthetic and leaf surfaces, providing a valuable tool for advancing the selection and development of adjuvants for specific surfaces.