Issue 12, 2022

A polypyrrole-mediated photothermal biosensor with a temperature and pressure dual readout for the detection of protein biomarkers

Abstract

Photothermal biosensors with advantages of speed and high sensitivity offer alternative and reliable solutions for real-time clinical diagnosis, food safety testing and environmental monitoring. Although metallic nanoparticles are usually used for photothermal biosensors, their poor photothermal stability and potential toxicity hinder clinical applications. Taking advantage of the low cytotoxicity and remarkable photothermal effect under the low laser power of polypyrrole-based organic nanoparticles, we developed a novel photothermal biosensor with a temperature and pressure dual readout. After the formation of immunoassay sandwich structures, polypyrrole as the photothermal agent is synthesized in situ with pyrrole, HCl and Fe3+ released from magnetic Fe2O3 particles modified with detection antibody. The heterocyclic rings from polypyrrole enable photothermal performance in the NIR region. The resulting increased heat and pressure in a sealed well are measured using a digital thermometer and a portable pressure meter, respectively. Taking C-reactive protein (CRP) as a model target, the proposed strategy allowed sensitive, selective and accurate analysis of biomarkers, and showed performance comparable to that of ELISA. Overall, the dual-mode photothermal biosensor holds great potential for simple and low-cost photothermal sensing of biomarkers for point-of-care testing (POCT).

Graphical abstract: A polypyrrole-mediated photothermal biosensor with a temperature and pressure dual readout for the detection of protein biomarkers

Supplementary files

Article information

Article type
Paper
Submitted
02 Mar 2022
Accepted
25 Apr 2022
First published
27 Apr 2022

Analyst, 2022,147, 2671-2677

A polypyrrole-mediated photothermal biosensor with a temperature and pressure dual readout for the detection of protein biomarkers

E. Song, Y. Tao, H. Shen, C. Yang, T. Tian, L. Yang and Z. Zhu, Analyst, 2022, 147, 2671 DOI: 10.1039/D2AN00370H

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