scholarly journals Heat and pressure-resistant room temperature irreversible sealing of hybrid PDMS–thermoplastic microfluidic devices via carbon–nitrogen covalent bonding and its application in a continuous-flow polymerase chain reaction

RSC Advances ◽  
2020 ◽  
Vol 10 (28) ◽  
pp. 16502-16509 ◽  
Author(s):  
Rajamanickam Sivakumar ◽  
Kieu The Loan Trinh ◽  
Nae Yoon Lee
Keyword(s):  
Polymerase Chain Reaction ◽  
Continuous Flow ◽  
Room Temperature ◽  
Microfluidic Devices ◽  
Covalent Bonding ◽  
Chain Reaction ◽  
Polymerase Chain

In this study, we have introduced a facile room-temperature strategy for irreversibly sealing polydimethylsiloxane to various thermoplastics using (3-aminopropyl)triethoxysilane (APTES) and [2-(3,4-epoxycyclohexyl)ethyl]trimethoxysilane (ECTMS).

An extrusion fluidic driving method for continuous-flow polymerase chain reaction on a microfluidic chip

2009 ◽  
Vol 168 (1-2) ◽  
pp. 71-78 ◽  
Author(s):  
Zhang-Run Xu ◽  
Xin Wang ◽  
Xiao-Feng Fan ◽  
Jian-Hua Wang
Keyword(s):  
Polymerase Chain Reaction ◽  
Microfluidic Chip ◽  
Continuous Flow ◽  
Chain Reaction ◽  
Polymerase Chain

scholarly journals Continuous flow polymerase chain reaction using a hybrid PMMA-PC microchip with improved heat tolerance

2008 ◽  
Vol 130 (2) ◽  
pp. 836-841 ◽  
Author(s):  
Yi Sun ◽  
M.V.D. Satyanarayan ◽  
Nam Trung Nguyen ◽  
Yien Chian Kwok
Keyword(s):  
Polymerase Chain Reaction ◽  
Heat Tolerance ◽  
Continuous Flow ◽  
Chain Reaction ◽  
Polymerase Chain

Early Detection of Systemic Rust Infections of Dyers Woad (Isatis tinctoria) Using the Polymerase Chain Reaction

Weed Science ◽  
1995 ◽  
Vol 43 (3) ◽  
pp. 467-472 ◽  
Author(s):  
Bradley R. Kropp ◽  
Steve Albee ◽  
Karen M. Flint ◽  
Paul Zambino ◽  
Les Szabo ◽  
...  
Keyword(s):  
Polymerase Chain Reaction ◽  
Early Detection ◽  
Room Temperature ◽  
Detection Method ◽  
Rust Fungus ◽  
Pcr Primers ◽  
Chain Reaction ◽  
Isatis Tinctoria ◽  
Specific Polymerase Chain Reaction ◽  
Polymerase Chain

Rust-specific polymerase chain reaction (PCR) primers selectively amplified ribosomal DNA of a rust fungus from infected dyers woad. PCR enabled DNA of the fungus to be detected in symptomatic plants as well as in asymptomatic parts of diseased plants. The use of PCR enabled early detection of rust infections in dyers woad plants during their first season when they are often asymptomatic Dried plant samples stored at room temperature for several months worked as well as lyophilized material for DNA extraction prior to PCR. The PCR detection method should greatly facilitate further studies on the biology and inoculation of this and other systemic rusts that have potential for use in biocontrol of weeds.

Neural-Genetic Optimization of Temperature Control in a Continuous Flow Polymerase Chain Reaction Microdevice

2005 ◽  
Author(s):  
Hing Wah Lee ◽  
Parthiban Arunasalam ◽  
Ishak A. Azid ◽  
Kankanhally N. Seetharamu
Keyword(s):  
Polymerase Chain Reaction ◽  
Reaction Zone ◽  
Temperature Control ◽  
Continuous Flow ◽  
Microfluidic Channel ◽  
Microfluidic Channels ◽  
Genetic Optimization ◽  
Chain Reaction ◽  
Polymerase Chain ◽  
Simulation Results

In this study, a hybridized neural-genetic optimization methodology realized by embedding finite element analysis (FEA) trained artificial neural networks (ANN) into genetic algorithms (GA) is used to optimize temperature control in a ceramic based continuous flow polymerase chain reaction (CPCR) device. The CPCR device requires three thermally isolated zones of 94°C, 65°C and 72°C for the corresponding process of denaturing, annealing and extension to complete a cycle of polymerase chain reaction. Three separately addressable heaters provide heat input to each zone, microfluidic channels allow for the transport of fluid between zones and thermal isolation between the zones is maintained by machining air-gaps into the device. The most important aspect of temperature control in the CPCR is to maintain temperature distribution at each reaction zone with a precision of ±1°C or better irrespective of changing ambient conditions. Results obtained from the FEA simulation are compared with published experimental work. Simulation results show good comparison with experimental work for the temperature control in each reaction zone of the microfluidic channels. The data is then used to train the ANN to predict the temperature distribution of the microfluidic channel for new heater input power and fluid flow rate. Using these data, optimization of temperature control in the CPCR device is achieved by embedding the trained ANN results as a fitness function into GA. The objective of the optimization is to minimize the temperature difference in each reaction zone of the microfluidic channel while satisfying the residence time requirement. Finally, the optimized results for the CPCR device are used to build a new FEA model for numerical simulation analysis. The simulation results for the neural-genetic optimized CPCR model and the initial CPCR model are then compared. The neural-genetic optimized model shows a significant improvement from the initial model establishing the optimization methods superiority.

Sign in / Sign up

Export Citation Format

Share Document