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61,005 resultsShowing papers similar to Microfluidics and Chip Development
ClearMicrofluidics and Chip Development
This report describes summer research progress in microfluidics and Raman spectroscopy within a Lab-on-Chip laboratory, covering work on bacterial biofilm generation and microplastic separation using microfluidic devices designed for environmental and biological applications.
Microfluidics as a Ray of Hope for Microplastic Pollution
This review explores how microfluidic technology, which manipulates tiny volumes of fluid on miniature chips, could help address microplastic pollution. Researchers found that microfluidic platforms offer advantages over conventional methods for both detecting and separating microplastics, including lower cost, faster processing, and higher efficiency. The technology shows promise as a practical tool for monitoring and potentially reducing microplastic contamination in the environment.
Microfluidic Devices for Microplastics Separation and Identification
This thesis explored the application of low-cost microfluidic devices for separating and identifying microplastics in water and biological samples, developing novel analytical platforms with potential for scalable environmental monitoring and detection of plastic particles.
Review: Impact of microfluidic cell and particle separation techniques on microplastic removal strategies
Researchers reviewed how microfluidic technology — the same miniaturized tools used in medical diagnostics to sort cells — could be adapted to separate and recover microplastics from water, offering a more precise and scalable alternative to conventional filtration methods used in wastewater treatment.
In-situ microplastic pre-treatment and sorting using an inertial microfluidic device
Researchers developed an inertial microfluidic device capable of pre-treating and sorting microplastics in situ, enabling separation of particles by size and shape prior to chemical analysis or recycling. The system demonstrates the viability of microfluidics for scalable microplastic processing, supporting both environmental monitoring and potential resource recovery applications.
Application of a Micro Free-Flow Electrophoresis 3D Printed Lab-on-a-Chip for Micro-Nanoparticles Analysis
Researchers developed a 3D-printed microfluidic chip using free-flow electrophoresis to separate and analyze micro- and nanoparticles in a low-cost, reproducible device. This type of miniaturized lab technology could improve environmental monitoring of nanoplastics and other fine particles in water samples.
Focusing, sorting, and separating microplastics by serial faradaic ion concentration polarization
Researchers demonstrated a microfluidic technique that uses electric fields to continuously separate two types of microplastic particles in flowing water. This lab-on-chip approach could be developed into tools for monitoring or removing specific microplastic types from water treatment systems.
Simple microfluidic devices for in situ detection of water contamination: a state-of-art review
This review covers recent advances in simple, low-cost microfluidic devices designed for on-site water quality testing rather than expensive laboratory analysis. Researchers found that these portable lab-on-a-chip devices can detect biological, chemical, and physical contaminants including microplastics with increasing accuracy. The study highlights the potential for these tools to make water safety monitoring more accessible, especially in resource-limited settings.
Detection of microplastics by microfluidic microwave sensing: An exploratory study
Researchers developed a compact microwave sensor on a microfluidic chip to detect microplastics in water samples. The system works by measuring how the presence of plastic particles changes the electrical properties of water. While the technology shows promise as a rapid and portable detection method, its current sensitivity needs improvement before it can detect the low microplastic concentrations typically found in natural freshwater.
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.
Assessment of microplastics using microfluidic approach
Researchers developed a microfluidic chip-based method using Nile red fluorescent staining to detect and count microplastic particles, offering a faster and less expensive alternative to conventional microscopy and spectroscopy approaches for environmental monitoring.
A microfluidic device for size-based microplastics and microalgae separation
Researchers designed a microfluidic device that separates microplastics and microalgae by size using controlled flow patterns. The device could be used to isolate microplastics from complex environmental water samples containing biological material, improving the accuracy of microplastic monitoring.
Novel droplet-based approach for investigating bacterial biofilm formation on microplastic
Researchers developed a droplet-based microfluidic approach to study bacterial biofilm formation on microplastics, enabling high-throughput analysis of how plastic surfaces promote biofilm growth. The method revealed that microplastics support biofilm formation that can harbor antibiotic-resistant bacteria, linking plastic pollution to antimicrobial resistance concerns.
Design and Method Research of Intelligent Detection System for Marine Microplastics Driven by Microfluidic Chip
Researchers designed an intelligent detection system for marine microplastics using a microfluidic chip combined with machine learning image analysis. Simulation testing validated the chip's ability to capture and sort microplastic particles from seawater samples, with AI classification achieving high accuracy across particle types.
A microfluidic approach for label-free identification of small-sized microplastics in seawater
Researchers developed a microfluidic approach for label-free identification of small microplastics in seawater, using impedance-based detection to distinguish different polymer types without chemical labeling, enabling faster and more practical environmental monitoring.
Centrifugal microfluidic chip for multi-stage sorting and detection of microplastics at micron scale
Researchers developed a centrifugal microfluidic chip that can sort and detect microplastics smaller than 63 micrometers by separating them into different size groups based on spinning forces. The chip achieved about 87% capture rate for polystyrene microspheres and also worked well with irregularly shaped microplastics. This technology offers a faster, more accurate, and simpler alternative to traditional membrane filtration for analyzing tiny microplastics in environmental samples.
Microfluidic Sensors for Micropollutant Detection in Environmental Matrices: Recent Advances and Prospects
This review covers advances in tiny sensor devices called microfluidic sensors that can detect trace amounts of pollutants including microplastics in water and environmental samples. Better detection tools matter for human health because they enable faster, more accurate monitoring of microplastic contamination in drinking water and food sources.
Novel droplet-based approach for investigating bacterial biofilm formation on microplastic
Researchers developed a droplet-based microfluidic approach to study bacterial biofilm formation on microplastic surfaces, enabling high-throughput screening of how different polymer types and surface conditions influence plastisphere community development.
Simplified 3D hydrodynamic flow focusing for lab-on-chip single particle study
Researchers developed a compact microfluidic device carved into glass using lasers that can precisely align particles in three dimensions for single-particle analysis in flowing liquid. The chip successfully focused particles as small as 1 micrometer and was tested for detecting bacteria in water, with potential applications in analyzing microplastics and biological particles.
Nanofluidic platforms for sensing applications in biomedical and environmental fields
This PhD thesis summary describes the development of nanofluidic platforms for detecting and characterizing nano-objects — including nanoplastics, viruses, and DNA molecules — at the molecular scale. These platforms offer promising tools for advancing the detection and size characterization of nanoplastics in environmental and biological samples.
Separation and trapping of nanoparticles using pressure-driven flow and electrokinetic transport in micro- and nanochannels
Researchers investigated the separation and trapping of nanoparticles in micro- and nanochannels using combined pressure-driven flow and electrokinetic transport, exploring these techniques as potential methods for detecting and recovering nanoplastics dispersed in aquatic environments.
Obstacle Trenches for Enhanced Microplastic Trapping in 3D-Printed Microfluidics
Capturing microplastic particles from flowing water is challenging because fast currents carry them past collection devices before they can settle. This study tested 3D-printed microfluidic chips fitted with small "obstacle trenches" upstream of collection wells, finding that these flow-slowing structures doubled microplastic trapping efficiency compared to chips without them. The work advances the development of miniaturized, low-cost devices for detecting and quantifying microplastics in water samples, potentially making environmental monitoring more accessible.
Artificial Intelligence-Based Microfluidic Platform for Detecting Contaminants in Water: A Review
This review explores how microfluidic devices combined with artificial intelligence can detect water pollutants including microplastics and nanoplastics in real-time, outside the laboratory. Traditional water testing requires large lab equipment, but these portable chip-based systems can identify contaminants quickly and accurately using machine learning. This technology could improve monitoring of microplastic contamination in drinking water and other water sources.
Filtering and continuously separating microplastics from water using electric field gradients formed electrochemically in the absence of buffer
Scientists developed a microfluidic system that uses electric fields to continuously separate particles — including microplastics — from water flow without chemical additives. Electric field-based separation could offer a low-energy, chemical-free approach to removing microplastics from water streams.