4.8 Review

A critical review on the use of potentiometric based biosensors for biomarkers detection

Journal

BIOSENSORS & BIOELECTRONICS
Volume 184, Issue -, Pages -

Publisher

ELSEVIER ADVANCED TECHNOLOGY
DOI: 10.1016/j.bios.2021.113252

Keywords

Biomarkers; Potentiometric systems; Photoelectrochemical; Wearable systems; Molecularly imprinted polymers; Light-addressable systems

Funding

  1. UESTC
  2. Nanjing Forestry University [NFU163020816, NFU163020139]

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Potentiometric-based biosensors have the potential to advance the detection of various biological compounds and enable early diagnosis of diseases. They include ion-sensitive membrane sensors that can measure activity of potassium, sodium, and chloride ions as biomarkers for assessing human health. The coupling of potentiometric-based ion-sensitive membrane systems with various techniques can create sensitive tools for fast and early detection of cancer biomarkers and other critical biological compounds.
Potentiometric-based biosensors have the potential to advance the detection of several biological compounds and help in early diagnosis of various diseases. They belong to the portable analytical class of biosensors for monitoring biomarkers in the human body. They contain ion-sensitive membranes sensors can be used to determine potassium, sodium, and chloride ions activity while being used as a biomarker to gauge human health. The potentiometric based ion-sensitive membrane systems can be coupled with various techniques to create a sensitive tool for the fast and early detection of cancer biomarkers and other critical biological compounds. This paper discusses the application of potentiometric-based biosensors and classifies them into four major categories: photoelectrochemical potentiometric biomarkers, potentiometric biosensors amplified with molecular imprinted polymer systems, wearable potentiometric biomarkers and light-addressable potentiometric biosensors. This review demonstrated the development of several innovative biosensor-based techniques that could potentially provide reliable tools to test biomarkers. Some challenges however remain, but these can be removed by coupling techniques to maximize the testing sensitivity.

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