Liquid Chip Detection
Liquid Chip Detection - Related Videos
07:50
Chip-Based Digital PCR to Detect Rare Transcript Variants Using a Nanofluidic Chip
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2025
This video demonstrates chip-based digital PCR — a variation of the digital PCR technique that is useful in detecting rare transcript variants. The PCR reaction is partitioned into the chambers of a nanofluidic chip, each of which acts as an independent reaction. The detection of fluorescence signals from the chambers with amplified targets confirms the presence of rare transcript variants in the sample.
09:43
Microfluidic Chip Fabrication and Method to Detect Influenza
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Cited by 6 •
2013
An integrated microfluidic thermoplastic chip has been developed for use as a molecular diagnostic. The chip performs nucleic acid extraction, reverse transcriptase, and PCR. Methods for fabricating and running the chip are described.
10:57
Experimental Protocol for Detecting Cyanobacteria in Liquid and Solid Samples with an Antibody Microarray Chip
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Cited by 9 •
2017
The presence of cyanobacterial toxins in fresh water reservoirs for human consumption is a major concern for water management authorities. To evaluate the risk of water contamination, this article describes an protocol for the in-field detection of cyanobacterial strains in liquid and solid samples by using an antibody microarray chip.
03:31
A Technique to Detect Cyanobacterial Strains Using an Antibody Microarray Chip
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2025
This video demonstrates a method to detect the Cyanobacterial strains in an environmental sample using an antibody microarray chip. Samples carrying various bacteria interact with printed antibodies, and immunostaining with fluorophore-labeled anti-cyanobacterial-strain antibodies reveals the presence of specific cyanobacterial strains through fluorescence in distinct spots.
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.
FAQs
Recognition elements first interact selectively with target molecules as the sample passes through the chip. Antibodies can capture relevant biological targets, while nucleic-acid probes can recognize complementary molecular sequences. The resulting capture event is translated into an optical, electrical, or biochemical signal, allowing the instrument to indicate the presence of the target in the liquid sample.
Microchannels provide the controlled routes through which liquid samples travel inside the lab-on-a-chip system. They bring the sample into contact with recognition elements while supporting integrated sample handling and detection. Because the analysis occurs within a miniaturized fluidic environment, the platform can perform measurements using small sample volumes rather than requiring a large laboratory assay format.
Antibodies and nucleic-acid probes provide two different ways to identify targets within a liquid sample. Antibodies are used as recognition elements for selected biological molecules, whereas nucleic-acid probes recognize target sequences. Choosing between them depends on the molecular target being investigated and on whether the desired readout is optical, electrical, or biochemical.
A typical workflow begins by introducing a liquid sample into the chip, where microchannels direct it through the analysis region. Target molecules encounter and bind to the appropriate recognition elements. The system then converts that interaction into an optical, electrical, or biochemical signal, producing a rapid measurement from a small amount of sample.
In neuroscience research, these platforms can analyze cerebrospinal fluid, blood, and other biological samples. The choice of sample allows investigators to examine biomarkers associated with neural injury, neurodegeneration, or brain tumors. Using several sample types broadens the settings in which molecular measurements can be performed and supports investigation of different neurological conditions.
Liquid chip detection may help researchers measure disease-associated biomarkers more rapidly and repeatedly than workflows requiring larger sample volumes. In neuroscience, this supports diagnostic research, longitudinal disease monitoring, and studies of neural injury, neurodegeneration, and brain tumors. Integrating sample handling with detection may also make research assays more accessible in settings where streamlined measurements are valuable.