Unknown

Dataset Information

0

Non-Lithographic Silicon Micromachining Using Inkjet and Chemical Etching.


ABSTRACT: We introduce a non-lithographical and vacuum-free method to pattern silicon. The method combines inkjet printing and metal assisted chemical etching (MaCE); we call this method "INKMAC". A commercial silver ink is printed on top of a silicon surface to create the catalytic patterns for MaCE. The MaCE process leaves behind a set of silicon nanowires in the shape of the inkjet printed micrometer scale pattern. We further show how a potassium hydroxide (KOH) wet etching process can be used to rapidly etch away the nanowires, producing fully opened cavities and channels in the shape of the original printed pattern. We show how the printed lines (width 50?100 µm) can be etched into functional silicon microfluidic channels with different depths (10?40 µm) with aspect ratios close to one. We also used individual droplets (minimum diameter 30 µm) to produce cavities with a depth of 60 µm and an aspect ratio of two. Further, we discuss using the structured silicon substrate as a template for polymer replication to produce superhydrophobic surfaces.

SUBMITTER: Hoshian S 

PROVIDER: S-EPMC6189811 | biostudies-other | 2016 Dec

REPOSITORIES: biostudies-other

altmetric image

Publications

Non-Lithographic Silicon Micromachining Using Inkjet and Chemical Etching.

Hoshian Sasha S   Gaspar Cristina C   Vasara Teemu T   Jahangiri Farzin F   Jokinen Ville V   Franssila Sami S  

Micromachines 20161208 12


We introduce a non-lithographical and vacuum-free method to pattern silicon. The method combines inkjet printing and metal assisted chemical etching (MaCE); we call this method "INKMAC". A commercial silver ink is printed on top of a silicon surface to create the catalytic patterns for MaCE. The MaCE process leaves behind a set of silicon nanowires in the shape of the inkjet printed micrometer scale pattern. We further show how a potassium hydroxide (KOH) wet etching process can be used to rapid  ...[more]

Similar Datasets

| S-EPMC7659364 | biostudies-literature
| S-EPMC5458877 | biostudies-other
| S-EPMC7416550 | biostudies-literature
| S-EPMC8147633 | biostudies-literature
| S-EPMC5554996 | biostudies-other
| S-EPMC7082793 | biostudies-literature
| S-EPMC4462046 | biostudies-literature
| S-EPMC6641903 | biostudies-literature
| S-EPMC5100464 | biostudies-literature
| S-EPMC8772306 | biostudies-literature