Droplet-Based Biochemical Reaction on Lab-on-a-Chip

After artificial recharging of groundwater some problems occurred, such as changes in groundwater quality, the silting up of recharge (injection) wells, etc. Therefore, the mechanisms of microbial effects on groundwater quality after artificial recharging were studied in Shanghai and the district of Changzhou. These problems were approached on the basis of the amounts of biochemical reaction products generated by the metabolism of iron bacteria, sulphate-reducing bacteria, Thiobacillusthioparus, and Thiobacillusdenitrificans. The experiments showed that in the transformations occurring and the siltation of recharge wells, microorganisms play an important role, due to the various chemical and biochemical activities. A water-rock-microorganisms system is proposed, and some methods for the prevention and treatment of these effects are given.

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New lab-on-a-chip formats for cell based analysis

IEE Seminar and Exhibition on MEMS Sensor Technologies ◽

10.1049/ic:20050124 ◽

2005 ◽

Cited By ~ 1

Author(s):

J. Cooper

Keyword(s):

Lab On A Chip

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Numerical Approximations to Solution of Biochemical Reaction Model

International Journal of Chemical Reactor Engineering ◽

10.2202/1542-6580.2606 ◽

2011 ◽

Vol 9 (1) ◽

Author(s):

Ahmet Yildirim ◽

Ahmet Gökdogan ◽

Mehmet Merdan

Keyword(s):

Analytical Solution ◽

Approximate Analytical Solution ◽

Transformation Method ◽

Reaction Model ◽

Biochemical Reaction ◽

Graphical Form ◽

Kutta Method ◽

Transform Method ◽

Runge Kutta Method ◽

Differential Transform

In this paper, approximate analytical solution of biochemical reaction model is used by the multi-step differential transform method (MsDTM) based on classical differential transformation method (DTM). Numerical results are compared to those obtained by the fourth-order Runge-Kutta method to illustrate the preciseness and effectiveness of the proposed method. Results are given explicit and graphical form.

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Droplet Merging on a Lab-on-a-Chip Platform by Uniform Magnetic Fields

Scientific Reports ◽

10.1038/srep37671 ◽

2016 ◽

Vol 6 (1) ◽

Cited By ~ 33

Author(s):

V. B. Varma ◽

A. Ray ◽

Z. M. Wang ◽

Z. P. Wang ◽

R. V. Ramanujan

Keyword(s):

Magnetic Fields ◽

Lab On A Chip ◽

Droplet Merging

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Microfluidic Network Simulations Enable On-Demand Prediction of Control Parameters for Operating Lab-On-A-Chip-Devices

Processes ◽

10.3390/pr9081320 ◽

2021 ◽

Vol 9 (8) ◽

pp. 1320

Author(s):

Julia Sophie Böke ◽

Daniel Kraus ◽

Thomas Henkel

Keyword(s):

Fluid Management ◽

Lab On A Chip ◽

Microfluidic System ◽

Flow Rates ◽

Demand Prediction ◽

Fast Running ◽

Microfluidic Network ◽

Fluid Properties ◽

Network Simulations ◽

User Friendly

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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3D printed microfluidic lab-on-a-chip device for fiber-based dual beam optical manipulation

Scientific Reports ◽

10.1038/s41598-021-93205-9 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Haoran Wang ◽

Anton Enders ◽

John-Alexander Preuss ◽

Janina Bahnemann ◽

Alexander Heisterkamp ◽

...

Keyword(s):

Optical Fibers ◽

Single Cells ◽

Lab On A Chip ◽

Cost Effective ◽

Optical Manipulation ◽

Hydrodynamic Focusing ◽

Trapping Region ◽

Dual Beam ◽

3D Printed ◽

On Chip

Abstract3D printing of microfluidic lab-on-a-chip devices enables rapid prototyping of robust and complex structures. In this work, we designed and fabricated a 3D printed lab-on-a-chip device for fiber-based dual beam optical manipulation. The final 3D printed chip offers three key features, such as (1) an optimized fiber channel design for precise alignment of optical fibers, (2) an optically clear window to visualize the trapping region, and (3) a sample channel which facilitates hydrodynamic focusing of samples. A square zig–zag structure incorporated in the sample channel increases the number of particles at the trapping site and focuses the cells and particles during experiments when operating the chip at low Reynolds number. To evaluate the performance of the device for optical manipulation, we implemented on-chip, fiber-based optical trapping of different-sized microscopic particles and performed trap stiffness measurements. In addition, optical stretching of MCF-7 cells was successfully accomplished for the purpose of studying the effects of a cytochalasin metabolite, pyrichalasin H, on cell elasticity. We observed distinct changes in the deformability of single cells treated with pyrichalasin H compared to untreated cells. These results demonstrate that 3D printed microfluidic lab-on-a-chip devices offer a cost-effective and customizable platform for applications in optical manipulation.

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