Optofluidic differential colorimetry for rapid nitrite determination

Lab on a Chip ◽  
2018 ◽  
Vol 18 (19) ◽  
pp. 2994-3002 ◽  
Author(s):  
Y. Shi ◽  
H. L. Liu ◽  
X. Q. Zhu ◽  
J. M. Zhu ◽  
Y. F. Zuo ◽  
...  
Keyword(s):  
Colour Reaction ◽  
Nitrite Determination ◽  
Microfluidic Network

Optofluidic differential colorimetry for rapid nitrite determination by the synergy of a colour reaction and a microfluidic network is presented.

Early‐stage microfluidic network design framework using graph sparsificiation based optimisation

2019 ◽  
Vol 55 (19) ◽  
pp. 1034-1037
Author(s):  
Shunjie Dong ◽  
Weiqing Ji ◽  
Hailong Yao ◽  
Cheng Zhuo
Keyword(s):  
Network Design ◽  
Early Stage ◽  
Design Framework ◽  
Microfluidic Network

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

Processes ◽  
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.

scholarly journals Dynamic Modeling and Flow Distribution of Complex Micron Scale Pipe Network

Micromachines ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 763
Author(s):  
Yao Zhao ◽  
Kai Zhang ◽  
Fengbei Guo ◽  
Mingyue Yang
Keyword(s):  
Calculation Method ◽  
Flow Distribution ◽  
Microfluidic Devices ◽  
Active Role ◽  
Fluid Simulation ◽  
Electrical Method ◽  
Fluid Network ◽  
Microfluidic Network ◽  
Simulation Calculation ◽  
Length Changes

A fluid simulation calculation method of the microfluidic network is proposed as a means to achieve the flow distribution of the microfluidic network. This paper quantitatively analyzes the influence of flow distribution in microfluidic devices impacted by pressure variation in the pressure source and channel length. The flow distribution in microfluidic devices with three types of channel lengths under three different pressure conditions is studied and shows that the results obtained by the simulation calculation method on the basis of the fluid network are close to those given by the calculation method of the conventional electrical method. The simulation calculation method on the basis of the fluid network studied in this paper has computational reliability and can respond to the influence of microfluidic network length changes to the fluid system, which plays an active role in Lab-on-a-chip design and microchannel flow prediction.

Corrigendum to “The use of graphene nanoribbons as efficient electrochemical sensing material for nitrite determination” [Talanta 159 (2016) 34–39]

Talanta ◽  
2016 ◽  
Vol 160 ◽  
pp. 768
Author(s):  
Eda Mehmeti ◽  
Dalibor M. Stanković ◽  
Ahmet Hajrizi ◽  
Kurt Kalcher
Keyword(s):  
Graphene Nanoribbons ◽  
Electrochemical Sensing ◽  
Nitrite Determination ◽  
Sensing Material

A highly sensitive colour reaction for chromium(VI) with the iodide-basic xanthene dye-pva system

Talanta ◽  
1991 ◽  
Vol 38 (7) ◽  
pp. 801-804 ◽  
Author(s):  
L Shaopu
Keyword(s):  
Colour Reaction ◽  
Chromium Vi ◽  
Highly Sensitive

scholarly journals A Colour Reaction of Maleic Anhydride, p-Benzoquinone and their Partially Substituted Derivatives

Nature ◽  
1939 ◽  
Vol 144 (3656) ◽  
pp. 910-910 ◽  
Author(s):  
ALEXANDER SCHÖNBERG ◽  
ABDEL FATTAH ALY ISMAIL
Keyword(s):  
Maleic Anhydride ◽  
Colour Reaction

scholarly journals A New Colour Reaction for Methylthiouracil

Nature ◽  
1950 ◽  
Vol 166 (4227) ◽  
pp. 789-789 ◽  
Author(s):  
RONALD A. McALLISTER
Keyword(s):  
Colour Reaction
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