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Magnetic particle plug-based assays for biomarker analysis

Tarn, Mark D.; Phurimsak, Chayakom; Pamme, Nicole

Authors

Mark D. Tarn

Chayakom Phurimsak



Abstract

Conventional immunoassays offer selective and quantitative detection of a number of biomarkers, but are laborious and time-consuming. Magnetic particle-based assays allow easy and rapid selection of analytes, but still suffer from the requirement of tedious multiple reaction and washing steps. Here, we demonstrate the trapping of functionalised magnetic particles within a microchannel for performing rapid immunoassays by flushing consecutive reagent and washing solutions over the trapped particle plug. Three main studies were performed to investigate the potential of the platform for quantitative analysis of biomarkers: (i) a streptavidin-biotin binding assay; (ii) a sandwich assay of the inflammation biomarker, C-reactive protein (CRP); and (iii) detection of the steroid hormone, progesterone (P4), towards a competitive assay. Quantitative analysis with low limits of detection was demonstrated with streptavidin-biotin, while the CRP and P4 assays exhibited the ability to detect clinically relevant analytes, and all assays were completed in only 15 min. These preliminary results show the great potential of the platform for performing rapid, low volume magnetic particle plug-based assays of a range of clinical biomarkers via an exceedingly simple technique.

Journal Article Type Article
Publication Date 2016-05
Journal Micromachines
Print ISSN 2072-666x
Electronic ISSN 2072-666X
Publisher MDPI
Peer Reviewed Peer Reviewed
Volume 7
Issue 5
Pages 77
Institution Citation Phurimsak, C., Tarn, M. D., & Pamme, N. (2016). Magnetic particle plug-based assays for biomarker analysis. Micromachines, 7(5), 77. https://doi.org/10.3390/mi7050077
DOI https://doi.org/10.3390/mi7050077
Keywords C-reactive protein (CRP), Progesterone (P4), Immunoassays, Magnetic particles, Magnetism, Microfluidics, Particle trapping
Publisher URL http://www.mdpi.com/2072-666X/7/5/77
Additional Information Copy of article first published in: Micromachines, 2016, v.7, issue 5

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