图案化多功能曲面的高通量多目标优化。,ACS Applied Materials & Interfaces

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图案化多功能曲面的高通量多目标优化。
ACS Applied Materials & Interfaces ( IF 8.3 ) Pub Date : 2020-06-18 , DOI: 10.1021/acsami.0c04202
Nourin Alsharif ₁ , Joshua R Uzarski ₂ , Timothy J Lawton ₂ , Keith A Brown _{1,

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Affiliation

多功能材料的实现和优化非常困难，尤其是当功能直接不兼容时。例如，使表面既具有酶活性又具有疏水性是具有挑战性的，因为这两个特性由于载有酶的表面的亲水性而直接竞争。图案化具有不同功能的离散域可以代表通往多功能的道路，但是无数可能的域排列为优化性能提供了主要障碍。在这里，我们开发了一种高通量方法，用于探索图案化的多功能表面，该方法受微量滴定板结构的启发。作为模型系统，在疏水性氟化自组装单层背景中，用辣根过氧化物酶修饰的结构域实现图案化表面。在探索图案几何形状影响的实验中，测得的酶活性仅取决于表面覆盖率。相反，滚降行为在很大程度上取决于图案几何形状的参数。重要的是，该发现使得能够以独立于其酶促活性的方式精确地调整表面的独特润湿行为。该平台的高通量特性有助于以通用且灵活的方式对表面功能进行多目标优化。滚降行为在很大程度上取决于图案几何形状的参数。重要的是，该发现使得能够以独立于其酶促活性的方式精确地调整表面的独特润湿行为。该平台的高通量特性有助于以通用且灵活的方式对表面功能进行多目标优化。滚降行为在很大程度上取决于图案几何形状的参数。重要的是，该发现使得能够以独立于其酶促活性的方式精确地调整表面的独特润湿行为。该平台的高通量特性有助于以通用且灵活的方式对表面功能进行多目标优化。

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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.

更新日期：2020-07-15

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