A hydrogel sensor-based microfluidic platform for the quantitative and multiplexed detection of fertility markers for point-of-care immunoassays. Issue 12 (25th February 2019)

• Record Type: Journal Article
• Authors: Kalme, Satish; Kandaswamy, Srinivasan; Chandrasekharmath, Anusha; Katiyar, Reeta; Rajamanickam, Gokul Prasath; Kumar, Suraj; Dendukuri, Dhananjaya
• Is Part Of: Analytical methods. Volume 11:Issue 12(2019)
• Page Start: 1639
• Page End: 1650
• Publication Date: 2019-02-25
• Subjects: Chemistry, Analytic -- Periodicals; Analytical biochemistry -- Periodicals; Chemical laboratories -- Standards -- Periodicals; 543.1905
• DOI: 10.1039/c8ay02641f
• Languages: English
• ISSNs: 1759-9660

Abstract

Abstract : We report a new point-of-care, multiplexed immunoassay platform based on 3D porous hydrogel particle sensors embedded into a plastic microfluidic device. Abstract : We report a new microfluidics-based immunoassay platform based on 3D porous hydrogel particle sensors with planar rectangular geometries. Large numbers of sensors are made off-chip before being embedded into an injection molded microfluidic chip. This allows for both multiplexing and scalability of manufacturing processes. A specially designed adapter containing detection reagents and buffers is interfaced with a microfluidic chip allowing for an automated immunoassay to be performed. All antibody reagents required for the test are stored in a dried form on the chip, enabling stability for resource-limited settings. Fluorescence-based immunoassays are performed by a sequential flow of the sample, detection reagents and wash buffer over the sensors. A compact instrument that integrates microfluidic flow dispensing and pumping with highly sensitive array-based detection is used to conduct and read the assay. A multiplexed set of 4 important fertility-linked tests, beta-human chorionic gonadotropin (β-hCG), follicle stimulating hormone (FSH), luteinizing hormone (LH) and prolactin (PRL), that are commonly required at gynecology/IVF settings were developed and validated using discarded clinical samples. Detailed data on accuracy, precision, linearity, effects of interference and cross-reactivity have been studied, rendering the platform ready for clinical use.