Literature DB >> 21464525

High-throughput optical quality control of lipid multilayers fabricated by dip-pen nanolithography.

Omkar A Nafday1, Steven Lenhert.   

Abstract

Surface supported phospholipid multilayers are promising materials for nanotechnology because of their tendency to self-organize, their innate biocompatibility, the possibility to encapsulate other materials within the multilayers, and the ability to control the multilayer thickness between ∼ 2 and 100 nm during fabrication. Dip-pen nanolithography (DPN) is an atomic force microscopy (AFM) based fabrication method that allows high-throughput fabrication and integration of a variety of micro- and nanostructured materials including lipid multilayers, with areal throughputs on the scale of cm(2) min(-1). Although multilayer thickness is a critical feature that determines the functionality of the lipid multilayer structures (for instance as carriers for other materials as well as optical scattering properties), reliable height characterization by AFM is slow (on the order of µm(2) min(-1)) and a bottleneck in the lithographic process. Here we describe a novel optical method to reliably measure the height of fluorescent multilayers with thicknesses above 10 nm, and widths above the optical diffraction limit based on calibrating the fluorescence intensity using one-time AFM height measurements. This allows large surface areas to be rapidly and quantitatively characterized using a standard fluorescence microscope. Importantly, different pattern dimensions (0D dots, 1D lines or 2D squares) require different calibration parameters, indicating that shape influences the optical properties of the structured lipid multilayers. This method has general implications in the systematic and high-throughput optical characterization of nanostructure-function relationships.

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Year:  2011        PMID: 21464525     DOI: 10.1088/0957-4484/22/22/225301

Source DB:  PubMed          Journal:  Nanotechnology        ISSN: 0957-4484            Impact factor:   3.874


  8 in total

1.  Quantitative dose-response curves from subcellular lipid multilayer microarrays.

Authors:  A E Kusi-Appiah; T W Lowry; E M Darrow; K A Wilson; B P Chadwick; M W Davidson; S Lenhert
Journal:  Lab Chip       Date:  2015-08-21       Impact factor: 6.799

2.  Materials Integration by Nanointaglio.

Authors:  Troy W Lowry; Aubrey Kusi-Appiah; Jingjiao Guan; David H Van Winkle; Michael W Davidson; Steven Lenhert
Journal:  Adv Mater Interfaces       Date:  2014-07       Impact factor: 6.147

3.  Quantification of Protein-Induced Membrane Remodeling Kinetics In Vitro with Lipid Multilayer Gratings.

Authors:  Troy W Lowry; Hanaa Hariri; Plengchart Prommapan; Aubrey Kusi-Appiah; Nicholas Vafai; Ewa A Bienkiewicz; David H Van Winkle; Scott M Stagg; Steven Lenhert
Journal:  Small       Date:  2015-12-09       Impact factor: 13.281

4.  Screening of Lipid Composition for Scalable Fabrication of Solvent-Free Lipid Microarrays.

Authors:  Lida Ghazanfari; Steven Lenhert
Journal:  Front Mater       Date:  2016-12-23       Impact factor: 3.515

5.  Aptamer Functionalized Lipid Multilayer Gratings for Label-Free Analyte Detection.

Authors:  Plengchart Prommapan; Nermina Brljak; Troy W Lowry; David Van Winkle; Steven Lenhert
Journal:  Nanomaterials (Basel)       Date:  2020-12-05       Impact factor: 5.076

6.  Lipid Multilayer Grating Arrays Integrated by Nanointaglio for Vapor Sensing by an Optical Nose.

Authors:  Troy W Lowry; Plengchart Prommapan; Quinn Rainer; David Van Winkle; Steven Lenhert
Journal:  Sensors (Basel)       Date:  2015-08-21       Impact factor: 3.576

7.  Evaporative edge lithography of a liposomal drug microarray for cell migration assays.

Authors:  Nicholas Vafai; Troy W Lowry; Korey A Wilson; Michael W Davidson; Steven Lenhert
Journal:  Nanofabrication       Date:  2015-07-24

8.  Enhanced Stability of Lipid Structures by Dip-Pen Nanolithography on Block-Type MPC Copolymer.

Authors:  Hui-Yu Liu; Ravi Kumar; Madoka Takai; Michael Hirtz
Journal:  Molecules       Date:  2020-06-15       Impact factor: 4.411

  8 in total

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