ArticleScientific reports2015
Rapid, automated, parallel quantitative immunoassays using highly integrated microfluidics and AlphaLISA.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
28 citing papers in PubMed, 61 citations in OpenAlex.
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- Development of a rapid homogeneous immunoassay for detection of rotavirus in stool samples.Frontiers in public health · 2022Article
- Development of an amplified luminescent proximity homogeneous assay for the detection of sulfonamides in animal-derived products.Food science & nutrition · 2021Article
- A microfluidics-based stem cell model of early post-implantation human development.Nature protocols · 2021Article
- Multiplexed analysis of neural cytokine signaling by a novel neural cell-cell interaction microchip.Lab on a chip · 2020Article
- Fast Affinity Induced Reaction Sensor Based on a Fluorogenic Click Reaction for Quick Detection of Protein Biomarkers.Analytical chemistry · 2020Article
- Vertically sheathing laminar flow-based immunoassay using simultaneous diffusion-driven immune reactions.RSC advances · 2019Article
- Microfluidic communicating vessel chip for expedited and automated immunomagnetic assays.Lab on a chip · 2018Article
- Controlling Dispersion during Single-Cell Polyacrylamide-Gel Electrophoresis in Open Microfluidic Devices.Analytical chemistry · 2018Article
- 3D-printed miniaturized fluidic tools in chemistry and biology.Trends in analytical chemistry : TRAC · 2018Article
- Automated 3D-Printed Microfluidic Array for Rapid Nanomaterial-Enhanced Detection of Multiple Proteins.Analytical chemistry · 2018Article
- A novel rapid quantitative method reveals stathmin-1 as a promising marker for esophageal squamous cell carcinoma.Cancer medicine · 2018Article
- Microfluidic flow cytometry: The role of microfabrication methodologies, performance and functional specification.Technology · 2018Article
- Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
Immunoassays represent one of the most popular analytical methods for detection and quantification of biomolecules. However, conventional immunoassays such as ELISA and flow cytometry, even though providing high sensitivity and specificity and multiplexing capability, can be labor-intensive and prone to human error, making them unsuitable for standardized clinical diagnoses. Using a commercialized no-wash, homogeneous immunoassay technology ('AlphaLISA') in conjunction with integrated microfluidics, herein we developed a microfluidic immunoassay chip capable of rapid, automated, parallel immunoassays of microliter quantities of samples. Operation of the microfluidic immunoassay chip entailed rapid mixing and conjugation of AlphaLISA components with target analytes before quantitative imaging for analyte detections in up to eight samples simultaneously. Aspects such as fluid handling and operation, surface passivation, imaging uniformity, and detection sensitivity of the microfluidic immunoassay chip using AlphaLISA were investigated. The microfluidic immunoassay chip could detect one target analyte simultaneously for up to eight samples in 45 min with a limit of detection down to 10 pg mL(-1). The microfluidic immunoassay chip was further utilized for functional immunophenotyping to examine cytokine secretion from human immune cells stimulated ex vivo. Together, the microfluidic immunoassay chip provides a promising high-throughput, high-content platform for rapid, automated, parallel quantitative immunosensing applications.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.