Microfluidic devices are miniaturized systems that manipulate and control small volumes of fluids on the microliter to picoliter scale within microchannels or chambers. These devices offer precise control over fluid flow, mixing, and reaction kinetics, making them valuable tools in various fields such as biology, chemistry, medicine, and engineering. Microfluidic devices enable rapid and efficient analysis of biological samples, including DNA, proteins, cells, and small molecules, with reduced reagent consumption and analysis time. They are used for applications such as point-of-care diagnostics, drug discovery, high-throughput screening, and environmental monitoring. Microfluidic devices can integrate multiple functions on a single chip, allowing complex experiments to be performed in a compact and portable format. Key components of microfluidic devices include microchannels, valves, pumps, and sensors, fabricated using techniques such as soft lithography, micro-machining, and 3D printing. Collaboration between researchers in interdisciplinary fields drives innovation in microfluidic device design, fabrication, and application. Continuous advancements in materials, fabrication methods, and detection technologies further enhance the capabilities and versatility of microfluidic devices for various analytical and biomedical applications.
Title : Eliminating implant failure in humans with nano chemistry: 30,000 cases and counting
Thomas J Webster, Brown University, United States
Title : Synthesis of chitosan composite of metal organic framework for the adsorption of dyes, kinetic and thermodynamic approach
Tooba Saeed, University of Peshawar, Pakistan
Title : Synthesis, ADMET, PASS, molecular docking, and dynamics simulation investigation of novel octanoyl glucoopyranosides & valeroyl ribofuranoside esters.
Hasinul Babu, University of Chittagong, Bangladesh
Title : Prospective polyoxometalate-based covalent organic framework heterogeneous catalysts
Arash Ebrahimi, Comenius University in Bratislava, Slovenia
Title : Utilizing Generative AI for Interactive Borane Modeling: Insights from Wade's Rule in Undergraduate Education
Mai Yan Yuen, The University of Hong Kong, Hong Kong
Title : Molecularly imprinted polymer-bimetallic nanoparticle based electrochemical sensor for dual detection of phenol iosmers micopollutants in water
Melkamu Biyana Regasa, Wollega University, Ethiopia