We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Biochip with multi-planar electrodes geometry for differentiation of non-spherical bioparticles in a microchannel
Summary
Researchers developed a biochip with multi-planar electrode geometry that can differentiate non-spherical particles such as bacterial cells and microplastics flowing through a microchannel based on their distinct electrical signatures. COMSOL simulations and experimental validation confirmed the design's ability to distinguish particles by morphology.
A biosensor capable of differentiating cells or other microparticles based on morphology finds significant biomedical applications. Examples may include morphological determination in the cellular division process, differentiation of bacterial cells, and cellular morphological variation in inflammation and cancer etc. Here, we present a novel integrated multi-planar microelectrodes geometry design that can distinguish a non-spherical individual particle flowing along a microchannel based on its electrical signature. We simulated multi-planar electrodes design in COMSOL Multiphysics and have shown that the changes in electrical field intensity corresponding to multiple particle morphologies can be distinguished. Our initial investigation has shown that top-bottom electrodes configuration produces significantly enhanced signal strength for a spherical particle as compared to co-planar configuration. Next, we integrated the co-planar and top-bottom configurations to develop a multi-planar microelectrode design capable of electrical impedance measurement at different spatial planes inside a microchannel by collecting multiple output signatures. We tested our integrated multi-planar electrode design with particles of different elliptical morphologies by gradually changing spherical particle dimensions to the non-spherical. The computed electrical signal ratio of non-spherical to spherical particle shows a very good correlation to predict the particle morphology. The biochip sensitivity is also found be independent of orientation of the particle flowing in the microchannel. Our integrated design will help develop the technology that will allow morphological analysis of various bioparticles in a microfluidic channel in the future.
Sign in to start a discussion.
More Papers Like This
Rapid Differentiation between Microplastic Particles Using Integrated Microwave Cytometry with 3D Electrodes
Researchers developed a rapid microplastic identification system combining integrated microwave cytometry with 3D electrodes to differentiate single microparticles in the 14–20 micrometer range as they flow through a microfluidic channel. The system demonstrated the ability to distinguish particle types based on dielectric properties, offering a faster and flow-compatible alternative to conventional spectroscopic techniques for environmental microplastic monitoring.
Microplastic separation and enrichment in microchannels under derivative electric field gradient by bipolar electrode reactions
Researchers used microfluidic channels equipped with bipolar electrodes to create electric field gradients that efficiently separate and concentrate microplastic particles from water at the microscale. Computer simulations optimized the channel design and voltage settings, offering a potential precision tool for removing microplastics from aquatic environments.
Design of a Low-Frequency Dielectrophoresis-Based Arc Microfluidic Chip for Multigroup Cell Sorting
Researchers designed a low-frequency dielectrophoresis-based microfluidic chip with curved channels and electrodes capable of sorting multiple cell types simultaneously, offering improved versatility for biological and environmental particle separation applications.
Rapid Differentiation between Microplastic Particles Using Integrated Microwave Cytometry with 3D Electrodes
Researchers developed a microfluidic platform combining microwave capacitive sensing and resistive pulse sensing to rapidly differentiate between types of microplastic particles in liquid. Using 3D electrode arrangements, they successfully distinguished between polystyrene and polyethylene particles in the 10-24 micrometer range. The technology offers a promising approach for fast, flow-through microplastic detection in environmental water samples and biological fluids.
Detection of Microplastic Waste by Using a Novel Microfluidic System with an Integrated Object Tracking Algorithm
Researchers developed a novel microfluidic system integrated with an object tracking algorithm to detect and distinguish microplastics from other materials in water, using multiple microchannel designs fabricated from PDMS microchips. The system demonstrated the ability to observe microplastic flow and deformation behaviour within microchannels, providing a new platform for automated microplastic detection and characterization.