Integrated microfluidic system for isolating exosome and analyzing protein marker PD-L1

2021 ◽  
pp. 113879
Author(s):  
Yunxing Lu ◽  
Ling Ye ◽  
Xiaoyu Jian ◽  
Dawei Yang ◽  
Hongwei Zhang ◽  
...  
Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 2162-P
Author(s):  
STEPHAN NIEUWOUDT ◽  
RUTH MCDOWELL ◽  
HUI ZHANG ◽  
JOHN P. KIRWAN

2019 ◽  
Author(s):  
Giraso Kabandana ◽  
Curtis G. Jones ◽  
Sahra Khan Sharifi ◽  
Chengpeng Chen

We developed a novel microfluidic system that enables automated and near real-time quantitation of indole release kinetics from biofilms.


2018 ◽  
Author(s):  
Anna Adams ◽  
Radha Krishna Murthy Bulusu ◽  
Nikita Mukhitov ◽  
Jose Mendoza-Cortes ◽  
Michael Roper

In this work, we developed a microfluidic bioreactor for optimizing growth and maintaining structure and function of HepG2, and when desired, the device could be removed and the extracellular output from the bioreactor combined with enzymatic glucose reagents into a droplet-based microfluidic system. The intensity of the resulting fluorescent assay product in the droplets was measured, and was directly correlated to glucose concentration, allowing the effect of insulin on glucose consumption in the HepG2 cells to be observed and quantified online and in near real-time.


2018 ◽  
Author(s):  
Anna Adams ◽  
Radha Krishna Murthy Bulusu ◽  
Nikita Mukhitov ◽  
Jose Mendoza-Cortes ◽  
Michael Roper

In this work, we developed a microfluidic bioreactor for optimizing growth and maintaining structure and function of HepG2, and when desired, the device could be removed and the extracellular output from the bioreactor combined with enzymatic glucose reagents into a droplet-based microfluidic system. The intensity of the resulting fluorescent assay product in the droplets was measured, and was directly correlated to glucose concentration, allowing the effect of insulin on glucose consumption in the HepG2 cells to be observed and quantified online and in near real-time.


Sensors ◽  
2019 ◽  
Vol 19 (5) ◽  
pp. 1178 ◽  
Author(s):  
Jorge Prada ◽  
Christina Cordes ◽  
Carsten Harms ◽  
Walter Lang

This contribution outlines the design and manufacturing of a microfluidic device implemented as a biosensor for retrieval and detection of bacteria RNA. The device is fully made of Cyclo-Olefin Copolymer (COC), which features low auto-fluorescence, biocompatibility and manufacturability by hot-embossing. The RNA retrieval was carried on after bacteria heat-lysis by an on-chip micro-heater, whose function was characterized at different working parameters. Carbon resistive temperature sensors were tested, characterized and printed on the biochip sealing film to monitor the heating process. Off-chip and on-chip processed RNA were hybridized with capture probes on the reaction chamber surface and identification was achieved by detection of fluorescence tags. The application of the mentioned techniques and materials proved to allow the development of low-cost, disposable albeit multi-functional microfluidic system, performing heating, temperature sensing and chemical reaction processes in the same device. By proving its effectiveness, this device contributes a reference to show the integration potential of fully thermoplastic devices in biosensor systems.


Lab on a Chip ◽  
2021 ◽  
Author(s):  
Wenxiu Zhao ◽  
Haibo Yu ◽  
Yangdong Wen ◽  
Hao Luo ◽  
Boliang Jia ◽  
...  

Counting the number of red blood cells (RBCs) in blood samples is a common clinical diagnostic procedure, but conventional methods are unable to provide the size and other physical properties...


Processes ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 1320
Author(s):  
Julia Sophie Böke ◽  
Daniel Kraus ◽  
Thomas Henkel

Reliable operation of lab-on-a-chip systems depends on user-friendly, precise, and predictable fluid management tailored to particular sub-tasks of the microfluidic process protocol and their required sample fluids. Pressure-driven flow control, where the sample fluids are delivered to the chip from pressurized feed vessels, simplifies the fluid management even for multiple fluids. The achieved flow rates depend on the pressure settings, fluid properties, and pressure-throughput characteristics of the complete microfluidic system composed of the chip and the interconnecting tubing. The prediction of the required pressure settings for achieving given flow rates simplifies the control tasks and enables opportunities for automation. In our work, we utilize a fast-running, Kirchhoff-based microfluidic network simulation that solves the complete microfluidic system for in-line prediction of the required pressure settings within less than 200 ms. The appropriateness of and benefits from this approach are demonstrated as exemplary for creating multi-component laminar co-flow and the creation of droplets with variable composition. Image-based methods were combined with chemometric approaches for the readout and correlation of the created multi-component flow patterns with the predictions obtained from the solver.


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