scholarly journals Automated Photonic Tuning of Silicon Microring Resonators Using a 3D-printed Microfluidic Mixer

OSA Continuum ◽  
2021 ◽  
Author(s):  
Christian Carver ◽  
Mawla Boaks ◽  
JuHang Kim ◽  
Kevin Larson ◽  
Gregory Nordin ◽  
...  
Author(s):  
Joseph R. Nalbach ◽  
Dave Jao ◽  
Douglas G. Petro ◽  
Kyle M. Raudenbush ◽  
Shibbir Ahmad ◽  
...  

A common method to precisely control the material properties is to evenly distribute functional nanomaterials within the substrate. For example, it is possible to mix a silk solution and nanomaterials together to form one tuned silk sample. However, the nanomaterials are likely to aggregate in the traditional manual mixing processes. Here we report a pilot study of utilizing specific microfluidic mixing designs to achieve a uniform nanomaterial distribution with minimal aggregation. Mixing patterns are created based on classic designs and then validated by experimental results. The devices are fabricated on polydimethylsiloxane (PDMS) using 3D printed molds and soft lithography for rapid replication. The initial mixing performance is validated through the mixing of two solutions with colored dyes. The microfluidic mixer designs are further analyzed by creating silk-based film samples. The cured film is inspected with scanning electron microscopy (SEM) to reveal the distribution uniformity of the dye particles within the silk material matrix. Our preliminary results show that the microfluidic mixing produces uniform distribution of dye particles. Because the microfluidic device can be used as a continuous mixing tool, we believe it will provide a powerful platform for better preparation of silk materials. By using different types of nanomaterials such as graphite (demonstrated in this study), graphene, carbon nanotubes, and magnetic nanoparticles, the resulting silk samples can be fine-tuned with desired electrical, mechanical, and magnetic properties.


2018 ◽  
Author(s):  
Ping Yao ◽  
Nathan Harris ◽  
Ronghui Wang ◽  
Xinge Xi ◽  
Jingyi Wang ◽  
...  

2019 ◽  
Vol 62 (3) ◽  
pp. 841-850 ◽  
Author(s):  
Ping Yao ◽  
Ronghui Wang ◽  
Xinge Xi ◽  
Yanbin Li ◽  
Steve Tung

Abstract. 3D printing can significantly improve the current fabrication techniques for microfluidic devices due to its ability to create truly 3D structures in a single step. In this study, an active pneumatic microfluidic mixer was designed and fabricated using an extrusion-based 3D printer and used for rapid detection of . The printed material of the mixer is flexible, semi-transparent, and inexpensive. The fabrication time is significantly shorter than the traditional micromolding process. The printed mixer consists of two pneumatic air chambers and one mixing chamber designed for a fluidic sample size of 100 µL. The length, width, and height of the mixer chip are 13, 12.7, and 9 mm, respectively. The performance of the mixer was tested for different actuation frequencies and pneumatic pressures. The completed 3D-printed mixer was successfully applied to the colorimetric detection of for a concentration range from 102 to 108 cfu mL-1 using an enzyme-linked immunosorbent assay. The experimental results showed that the microfluidic mixer could enhance the mixing efficiency of the fluidic sample through pneumatically actuated diaphragms. In addition, the mixer could accelerate the color development caused by target , and the observed color changes could be discriminated within 5 min by naked eye. The present work will contribute to the development and optimization of a prototype for rapid detection of in food samples. It provides an effective technical approach to realize the fabrication of low-cost microfluidic chips for efficient reagent mixing in microscale biochemical detection systems. Keywords: 3D printing, Listeria monocytogenes, Microfluidic mixer, Rapid detection.


2016 ◽  
Vol 77 (S 02) ◽  
Author(s):  
Hassan Othman ◽  
Sam Evans ◽  
Daniel Morris ◽  
Saty Bhatia ◽  
Caroline Hayhurst

2019 ◽  
Author(s):  
Avital Perry ◽  
Soliman Oushy ◽  
Lucas Carlstrom ◽  
Christopher Graffeo ◽  
David Daniels ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document