Rapid, automated, parallel quantitative immunoassays using highly integrated microfluidics and AlphaLISA

Zeta Tak For Yu, Huijiao Guan, Mei Ki Cheung, Walker M. McHugh, Timothy T. Cornell, Thomas P. Shanley, Katsuo Kurabayashi, Jianping Fu*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

48 Scopus citations


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.

Original languageEnglish (US)
Article number11339
JournalScientific reports
StatePublished - Jun 15 2015

ASJC Scopus subject areas

  • General


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