| Literature DB >> 34669482 |
Di Chen1,2, Chujun Ni2, Lulin Xie2, Ye Li2, Shihong Deng2, Qian Zhao2,3, Tao Xie1,2,3.
Abstract
Soft lithography is a complementary extension of classical photolithography, which involves a multistep operation that is environmentally unfriendly and intrinsically limited to planar surfaces. Inspired by homeostasis processes in biology, we report a self-growth strategy toward direct soft lithography, bypassing conventional photolithography and its limitations. Our process uses a paraffin swollen light responsive dynamic polymer network. Selective light exposure activates the network locally, causing stress imbalance. This drives the internal redistribution of the paraffin liquid, yielding controllable formation of microstructures. This single-step process is completed in 10 seconds, does not involve any volatile solvents/reactants, and can be adapted to three-dimensional complex surfaces. The living nature of the network further allows sequential growth of hierarchical microstructures. The versatility and efficiency of our approach offer possibilities for future nanotechnologies beyond conventional microfabrication techniques.Entities:
Year: 2021 PMID: 34669482 PMCID: PMC8528418 DOI: 10.1126/sciadv.abi7360
Source DB: PubMed Journal: Sci Adv ISSN: 2375-2548 Impact factor: 14.136
Fig. 1.Light induced homeostatic growth on the gel surface.
(A) Precursors of dynamic and nondynamic liquid paraffin gels. (B) Surface profiles for the dynamic (left) and nondynamic (right) gels. (C) Molecular mechanism for the growth process.
Fig. 2.Controlling factors for the surface patterning.
(A) Impacts of exposure time on feature height. (B) Impact of cross-linking density on feature height and swelling ratio. (C) The aspect ratios of the microstructures at different feature sizes. (D) Surface profiles of a belt pattern (feature size, 0.75 μm; shown in fig. S5) and a dipped array. (E) Optical image of a cylindrical pattern and related profile. (F) Sequentially patterning process by rotating the same photomask.
Fig. 3.Digital mask based homeostatic patterning.
(A) The experimental setup. (B) Impact of exposure time on feature height. (C) A stepped pattern (inset image) with its surface profile. (D) Ridge arrays of different heights and the corresponding surface profile of the rectangular area marked in red. (E) A ridge-valley array pattern (inset image) with the orthogonal surface profiles corresponding to the directions of the red and blue arrows. (F) Dynamic manipulation of the valley-ridge patterns and the corresponding surface profiles.
Fig. 4.Multiscale control of micropatterning by combining the digital and physical masks.
(A) The process of combining the digital and physical masks (left) and the surface profile of a microstructured array confined in a macroscopic flower pattern (right). (B) Diverse structural colored patterns obtained using an identical physical mask (feature size, 2 μm) with additional digital light control by the projector. (C) Patterning on a 3D object with complex surface contours. Photo Credit: Chujun Ni, Zhejiang University.