High-Throughput Multiobjective Optimization of Patterned Multifunctional Surfaces.

The realization and optimization of multifunctional materials is difficult, especially when the functionalities are directly incompatible. For example, it is challenging to make surfaces both enzymatically active and water repellent, as these two properties are directly competitive because of the hydrophilic nature of the enzyme-laden surfaces. Patterning discrete domains of distinct functionalities can represent a path to multifunctionality, but the innumerable possible domain permutations present a major barrier to optimizing performance. Here, we develop a high-throughput approach for exploring patterned multifunctional surfaces that is inspired by the microtiter plate architecture. As a model system, patterned surfaces are realized with horseradish peroxidase-decorated domains amidst a background of hydrophobic fluorinated self-assembled monolayers. In experiments exploring effects of pattern geometry, the measured enzyme activity is dependent only on the surface coverage. In contrast, roll-off behavior strongly depends on the parameters of the pattern geometry. Importantly, this finding enables the precise tailoring of distinct wetting behavior of the surfaces in a manner that is independent of their enzymatic activity. The high-throughput nature of the platform facilitates multiobjective optimization of surface functionalities in a general and flexible manner.