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Tunable Fano-Resonant Metasurfaces on a Disposable Plastic-Template for Multimodal and Multiplex Biosensing.
Ahmed, Rajib; Ozen, Mehmet Ozgun; Karaaslan, Merve Goksin; Prator, Cecilia A; Thanh, Cassandra; Kumar, Shreya; Torres, Leonel; Iyer, Nikita; Munter, Sadie; Southern, Sarka; Henrich, Timothy J; Inci, Fatih; Demirci, Utkan.
Afiliação
  • Ahmed R; Bio-Acoustic MEMS in Medicine (BAMM) Laboratory, Canary Center at Stanford for Cancer Early Detection Department of Radiology, Stanford School of Medicine, Palo Alto, CA, 94304, USA.
  • Ozen MO; Bio-Acoustic MEMS in Medicine (BAMM) Laboratory, Canary Center at Stanford for Cancer Early Detection Department of Radiology, Stanford School of Medicine, Palo Alto, CA, 94304, USA.
  • Karaaslan MG; Bio-Acoustic MEMS in Medicine (BAMM) Laboratory, Canary Center at Stanford for Cancer Early Detection Department of Radiology, Stanford School of Medicine, Palo Alto, CA, 94304, USA.
  • Prator CA; Division of Experimental Medicine, University of California, 1001 Potrero Avenue, San Francisco, CA, 94110, USA.
  • Thanh C; Division of Experimental Medicine, University of California, 1001 Potrero Avenue, San Francisco, CA, 94110, USA.
  • Kumar S; Division of Experimental Medicine, University of California, 1001 Potrero Avenue, San Francisco, CA, 94110, USA.
  • Torres L; Division of Experimental Medicine, University of California, 1001 Potrero Avenue, San Francisco, CA, 94110, USA.
  • Iyer N; Division of Experimental Medicine, University of California, 1001 Potrero Avenue, San Francisco, CA, 94110, USA.
  • Munter S; Division of Experimental Medicine, University of California, 1001 Potrero Avenue, San Francisco, CA, 94110, USA.
  • Southern S; School of Medicine, Gaia Medical Institute, 505 Coast Boulevard South, La Jolla, CA, 92037, USA.
  • Henrich TJ; Division of Experimental Medicine, University of California, 1001 Potrero Avenue, San Francisco, CA, 94110, USA.
  • Inci F; Bio-Acoustic MEMS in Medicine (BAMM) Laboratory, Canary Center at Stanford for Cancer Early Detection Department of Radiology, Stanford School of Medicine, Palo Alto, CA, 94304, USA.
  • Demirci U; Bio-Acoustic MEMS in Medicine (BAMM) Laboratory, Canary Center at Stanford for Cancer Early Detection Department of Radiology, Stanford School of Medicine, Palo Alto, CA, 94304, USA.
Adv Mater ; 32(19): e1907160, 2020 May.
Article em En | MEDLINE | ID: mdl-32201997
ABSTRACT
Metasurfaces are engineered nanostructured interfaces that extend the photonic behavior of natural materials, and they spur many breakthroughs in multiple fields, including quantum optics, optoelectronics, and biosensing. Recent advances in metasurface nanofabrication enable precise manipulation of light-matter interactions at subwavelength scales. However, current fabrication methods are costly and time-consuming and have a small active area with low reproducibility due to limitations in lithography, where sensing nanosized rare biotargets requires a wide active surface area for efficient binding and detection. Here, a plastic-templated tunable metasurface with a large active area and periodic metal-dielectric layers to excite plasmonic Fano resonance transitions providing multimodal and multiplex sensing of small biotargets, such as proteins and viruses, is introduced. The tunable Fano resonance feature of the metasurface is enabled via chemical etching steps to manage nanoperiodicity of the plastic template decorated with plasmonic layers and surrounding dielectric medium. This metasurface integrated with microfluidics further enhances the light-matter interactions over a wide sensing area, extending data collection from 3D to 4D by tracking real-time biomolecular binding events. Overall, this work resolves cost- and complexity-related large-scale fabrication challenges and improves multilayer sensitivity of detection in biosensing applications.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Técnicas Biossensoriais Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Técnicas Biossensoriais Idioma: En Ano de publicação: 2020 Tipo de documento: Article