Optimal st-PMMA/C(60) helical inclusion complexes via tunable energy landscapes for the application of an Ag SERS-active substrate

通过可调能量分布优化st-PMMA/C(60)螺旋包合物,用于Ag SERS活性基底

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Abstract

In bio-inspired systems, the hierarchical structures of biomolecules are mimicked to impart desired functions to self-assembled materials. However, these hierarchical architectures are based on multicomponent systems, which require not only a well defined primary structure of functional molecules but also the programming of self-assembly pathways. In this study, we investigate pathway complexity in the energy landscape of the syndiotactic poly(methyl methacrylate) (st-PMMA)/C(60)/toluene complex system, where C(60) and toluene serve as guests in the st-PMMA helical host. Structural characterization revealed that st-PMMA preferentially wraps around C(60), forming a thermodynamically favorable helical inclusion complex (HIC). However, during the preparation of the st-PMMA/C(60) HIC, a lengthy guest-exchange pathway was discovered, where the st-PMMA/toluene HIC transformed into the st-PMMA/C(60) HIC. This pathway complexity may hinder the formation of the st-PMMA/C(60) HIC within a feasible timeframe. Given that the energy landscape can be modulated by temperature, the st-PMMA host can directly wrap around C(60) in higher temperature ranges, thereby bypassing the guest-exchange process and increasing the st-PMMA/C(60) HIC formation efficiency. Additionally, after self-assembly programming, the st-PMMA/C(60) HIC can serve as an excellent photochemical reduction site. The well dispersed nanodomains of the st-PMMA/C(60) HICs act as nanoparticle templates for surface-enhanced Raman scattering (SERS) hotspot fabrication. We successfully utilized these HIC templates to synthesize self-assembled SERS-active silver nanoparticle arrays, demonstrating their potential for use in chemical sensing applications. In summary, a clear energy landscape can guide supramolecular engineering to achieve the desired supramolecular architectures by selecting appropriate self-assembly pathways.

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