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A low-cost and scalable method is developed for producing large-area elastomer surfaces having ordered nanostructures with a variety of lattice features controllable to nanometer precision. The method adopts the known technique of molding a PDMS precursor film with a close-packed monolayer of monodisperse submicron polystyrene beads on water to form an inverse-opal dimple lattice with the dimple size controlled by the bead selection and the dimple depth by the molding condition. The subsequent novel precision engineering of the inverse-opal lattice comprises trimming the PDMS precursor by a combination of polymer curing temperature/time and polymer dissolution parameters. The resultant ordered surface nanostructures, fabricated with an increasing degree of trimming, include (a) submicron hemispherical dimples with nanothin interdimple rims and walls; (b) nanocones with variable degrees of tip-sharpness by trimming off the top part of the nanothin interdimple walls; and (c) soup-plate-like submicron shallow dimples with interdimple rims and walls by anisotropically trimming off the nanocones and forming close-packed shallow dimples. As exemplars of industrial relevance of these lattice features, tunable Young's modulus and wettability are demonstrated. [ABSTRACT FROM AUTHOR]

Reduced complexity in production of large-scale, flexible surface enhancement Raman spectroscopy (SERS) active substrate has been implemented at the water surface, when polydimethylsiloxane (PDMS) solution having lower density than the water meets with self-assembled polystyrene (PS) nanoparticles (NPs). Through tuning its flowability, the PDMS solution could effectively wet PS NPs, wherein the PS NPs can be embedded in the PDMS during the curing process. This technical innovation saves ill-posed transfer steps as present in traditional operations which may cause damaged nanostructures, and it could be beneficial for preparing a large scale, high quality, and flexible SERS active substrate. Field tests demonstrated that the Raman signal enhancement factor could reach up to the order of ~107 with decent repeatability less than 10%. [ABSTRACT FROM AUTHOR]