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Updated: May 16, 2026

Dry Film Photoresist-based Electrochemical Microfluidic Biosensor Platform: Device Fabrication, On-chip Assay Preparation, and System Operation
Published on: September 19, 2017
A microfluidics-enabled photonic crystal biosensor for simplified, point-of-care diagnosis of a blood biomarker
Fuzhen Li1,2, Bin Shi3, Zhijie Li4
1Key Laboratory of Green Printing, Institute of Chemistry, Chinese Academy of Sciences/Beijing Engineering Research Center of Nanomaterials for Green Printing Technology, Beijing National Laboratory for Molecular Sciences, Beijing, China. sumeng1988@iccas.ac.cn.
Abstract:
Point-of-care testing (POCT) aims to deliver laboratory-based analytical platforms to resource-limited settings, yet its development is often hindered by cumbersome sample preparation and complex detection workflows. Here, we report an optical biosensing chip that integrates the fluorescence enhancement effect of photonic crystal arrays with the microfluidic automation for rapid and highly sensitive quantification of alpha-fetoprotein (AFP) in blood. The pre-analytical process for serum separation is also simplified by replacing the conventional centrifugation with an on-chip membrane filtration step. After the optimization of the antibody modification parameters on the PC arrays and the hydrodynamic performance, the optical biosensor exhibits a detection limit as low as 0.1 ng mL-1 for AFP and a broad linear range from 1 to 1600 ng mL-1via one-droplet blood. After conducting a double-blinded comparison with the clinical gold standard ELISA using 70 clinical samples, high accuracy and agreement were achieved with a Pearson correlation coefficient of R2 = 0.981, and a mean bias of -5.15 ng mL-1via Bland-Altman analysis. The optical biosensor integrates the high sensitivity of photonic crystals, the automation of microfluidics, and the simplicity of membrane filtration for the development of next-generation on-site diagnostic devices, which offers a practical solution to the key challenges of simplified, point-of-care diagnosis of hepatic disease.

