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Ultrasensitive Detection of Biomarkers by Using a Molecular Imprinting Based Capacitive Biosensor

Ultrasensitive Detection of Biomarkers by Using a Molecular Imprinting Based Capacitive Biosensor

Published on: February 16, 2018

Superwettable Biosensor for Disease Biomarker Detection.

Yun Jun Yang¹, Zhong Feng Gao²

¹Advanced Research Institute for Multidisciplinary Science, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China.

Frontiers in Bioengineering and Biotechnology

|April 14, 2022

Summary

This summary is machine-generated.

Superwettable materials enable advanced biosensors for detecting disease biomarkers like tumor markers. This review covers sensing strategies and future directions for these promising bioinspired technologies.

Keywords:

bioinspired material biosensing detecting technologies interface superwettability

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Area of Science:

Materials Science
Biotechnology
Analytical Chemistry

Background:

Bioinspired superwettable materials are gaining attention for diverse applications.
Superwettable surfaces are increasingly used in biosensor fabrication.
Detection of disease biomarkers, particularly tumor biomarkers, is a key application area.

Purpose of the Study:

To review sensing strategies for disease biomarker detection using superwettable biosensors.
To highlight fluorescence, electrochemical, SERS, and visual assay methods.
To discuss current challenges and future prospects in the field.

Main Methods:

Review of existing literature on superwettable biosensors.
Categorization of sensing strategies based on detection principles.
Analysis of different assay formats for biomarker detection.

Main Results:

Superwettable biosensors offer versatile platforms for biomarker detection.
Various sensing modalities including fluorescence, electrochemistry, SERS, and visual assays are applicable.
The integration of superwettable surfaces enhances biosensor performance.

Conclusions:

Superwettable biosensors represent a significant advancement in disease biomarker detection.
Further research is needed to address challenges and unlock full potential.
Future development should focus on improving sensitivity, specificity, and point-of-care applications.