Published March 11, 2022 | Version v1
Journal article

Nanomaterial-assisted microfluidics for multiplex assays

  • 1. Nanjing University of Science and Technology. Sino-French Engineer School (China)
  • 2. Nanjing University. College of Engineering and Applied Sciences, Jiangsu Key Laboratory of Artificial Functional Materials, State Key Laboratory of Analytical Chemistry for Life Science (China)
  • 3. The Affiliated Hospital of Nanjing University Medical School. Department of General Surgery, Nanjing Drum Tower Hospital (China)
  • 4. Nanjing Tech University. Key Laboratory of Flexible Electronics & Institute of Advanced Materials, Jiangsu National Synergistic Innovation Center for Advanced Materials (China)

Description

Simultaneous detection of different biomarkers from a single specimen in a single test, allowing more rapid, efficient, and low-cost analysis, is of great significance for accurate diagnosis of disease and efficient monitoring of therapy. Recently, developments in microfabrication and nanotechnology have advanced the integration of nanomaterials in microfluidic devices toward multiplex assays of biomarkers, combining both the advantages of microfluidics and the unique properties of nanomaterials. In this review, we focus on the state of the art in multiplexed detection of biomarkers based on nanomaterial-assisted microfluidics. Following an overview of the typical microfluidic analytical techniques and the most commonly used nanomaterials for biochemistry analysis, we highlight in detail the nanomaterial-assisted microfluidic strategies for different biomarkers. These highly integrated platforms with minimum sample consumption, high sensitivity and specificity, low detection limit, enhanced signals, and reduced detection time have been extensively applied in various domains and show great potential in future point-of-care testing and clinical diagnostics.

Additional details

Identifiers

Publishing Information

Journal Title
Mikrochimica Acta
Journal Volume
189
Journal Issue
4
Journal Page Range
vp.
ISSN
0026-3672
CODEN
MIACAQ

Optional Information

Copyright
Copyright (c) 2022 © The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2022