{"title":"Swelling-Driven Ultrafast Soft Lithography.","authors":"Yukyeong Choi, Hee Jung Park, Byoung Hoon Lee","doi":"10.1002/smtd.202500681","DOIUrl":null,"url":null,"abstract":"<p><p>Soft lithography using polymeric molds is a cost-effective and scalable technique but is often limited by long processing times, high temperatures, and production costs. Here, stretchable polydimethylsiloxane (PDMS) molds replicated from compact discs (C-PDMS molds) are introduced for ultrafast, high-resolution patterning on flat, curved surfaces. Unlike rigid polyurethane acrylate (C-PUA) molds, C-PDMS enables rapid patterning within ≈10 s via solvent-induced swelling-the fastest patterning reported. Despite the swelling of C-PDMS molds, an optimized solubility parameter of the processing solvent ensures precise pattern fidelity. Additionally, C-PDMS molds conform to uneven surfaces, overcoming the limitations of rigid C-PUA molds. Their stretchability further enables shape-deformable patterning, allowing controlled feature dimensions and geometries tuning. This capability facilitates the fabrication of polymeric and metallic structures with submicron (≈500 nm) electrode gaps and optically transparent metal patterns. Moreover, overlapped metal structures, such as metal grids and metal island arrays, can be fabricated without needing multiple expensive master molds, substantially reducing fabrication complexity and cost. These findings establish C-PDMS-based ultrafast and conformal soft lithography as a versatile platform for advanced microfabrication.</p>","PeriodicalId":229,"journal":{"name":"Small Methods","volume":" ","pages":"e00681"},"PeriodicalIF":9.1000,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Small Methods","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1002/smtd.202500681","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Soft lithography using polymeric molds is a cost-effective and scalable technique but is often limited by long processing times, high temperatures, and production costs. Here, stretchable polydimethylsiloxane (PDMS) molds replicated from compact discs (C-PDMS molds) are introduced for ultrafast, high-resolution patterning on flat, curved surfaces. Unlike rigid polyurethane acrylate (C-PUA) molds, C-PDMS enables rapid patterning within ≈10 s via solvent-induced swelling-the fastest patterning reported. Despite the swelling of C-PDMS molds, an optimized solubility parameter of the processing solvent ensures precise pattern fidelity. Additionally, C-PDMS molds conform to uneven surfaces, overcoming the limitations of rigid C-PUA molds. Their stretchability further enables shape-deformable patterning, allowing controlled feature dimensions and geometries tuning. This capability facilitates the fabrication of polymeric and metallic structures with submicron (≈500 nm) electrode gaps and optically transparent metal patterns. Moreover, overlapped metal structures, such as metal grids and metal island arrays, can be fabricated without needing multiple expensive master molds, substantially reducing fabrication complexity and cost. These findings establish C-PDMS-based ultrafast and conformal soft lithography as a versatile platform for advanced microfabrication.
Small MethodsMaterials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍:
Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques.
With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community.
The online ISSN for Small Methods is 2366-9608.