Microfluidic Sample Analysis
Microfluidic Sample Analysis - Related Videos
11:16
A Microfluidic Chip for ICPMS Sample Introduction
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Cited by 4 •
2015
We present a discrete droplet sample introduction system for inductively coupled plasma mass spectrometry (ICPMS). It is based on a cheap and disposable microfluidic chip that generates highly monodisperse droplets in a size range of 40−60 µm at frequencies from 90 to 7,000 Hz.
10:35
Studies of Bacterial Chemotaxis Using Microfluidics - Interview
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Cited by 1 •
2007
03:50
Microscopic Analysis of Bacterial Growth Under Stress Using Microfluidic Chambers
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2025
Source: Cayron, J., et al. Multi-scale Analysis of Bacterial Growth Under Stress Treatments. J. Vis. Exp. (2019).This video demonstrates how to prepare and use a microfluidic plate for imaging bacterial cells under stress conditions. It outlines the process of introducing a bacterial culture and a stress-inducing antibiotic medium, followed by cell loading and microscopic setup. Time-lapse imaging in phase-contrast mode is then used to observe the development of elongated, filamentous cells...
01:28
Phage-Based Microfluidic Assay for Detecting Viable E. coli in Water Samples
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2026
Begin with a contaminated water sample likely to harbor fecal coliforms, including E. coli.Perform a serial dilution in distilled water to reduce turbidity and microbial load.Mix the desired diluted sample with the nutrient medium and load it into a microfluidic chip.Use vacuum filtration to capture bacteria on a membrane within the serpentine channel of the chip.Add nutrient medium to the upper chamber and incubate to enhance bacterial recovery.Replace the medium with a solution of E.
15:41
A Microfluidic Chip for the Versatile Chemical Analysis of Single Cells
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Cited by 10 •
2013
In this article we present a microfluidic chip for single cell analysis. It allows the quantification of intracellular proteins, enzymes, cofactors, and second messengers by means of fluorescent assays or...
FAQs
Laminar flow keeps adjacent fluid streams largely orderly rather than turbulently mixed. As a result, molecules must move across stream boundaries mainly by diffusion, so channel dimensions and flow conditions influence how quickly samples mix and react. Engineers use this behavior to control reaction timing and spatial organization, but inadequate diffusion can limit analytical performance.
Pressure, capillary action, and electrokinetic forces provide different ways to move fluids through patterned channels. Their selection affects how samples and reagents are introduced, transported, and directed toward processing or detection regions. Controlling these forces helps engineers coordinate fluid handling within compact devices and supports automated workflows without relying on large-scale laboratory equipment.
Channel surfaces can strongly influence analytical performance because fluids and analytes interact with the boundaries of microscale passages. These interactions may affect transport, processing, and detection behavior, making surface properties an important design consideration. Engineers therefore evaluate channel design together with surface effects rather than treating fluid movement and measurement performance as separate concerns.
A typical workflow moves a sample through patterned channels, applies fluid control, and performs one or more integrated operations such as separation or processing before detection. The device may combine several stages in a compact format, reducing the need for separate handling steps. This integration supports controlled, automated analysis while using small sample and reagent volumes.
Engineers apply Microfluidic Sample Analysis to portable diagnostics, environmental monitoring, chemical assays, and automated laboratory workflows. The appropriate use depends on whether compact operation, rapid measurements, low reagent consumption, or integrated processing is important. Its microscale format can support systems that are easier to combine into portable or automated platforms than conventional, larger-scale arrangements.
These systems can reduce sample and waste requirements while improving integration, throughput, and control. However, small-scale operation does not automatically ensure better results: channel design, diffusion-dependent mixing, and surface interactions can affect analytical performance. Engineers must balance compactness and resource efficiency against the need to control transport, reactions, processing, and detection within the device.