AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (14.2 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Review Article | Open Access

Quantum dot-based POCT systems: From multiplexed detection to cross-domain applications

Zhiying He1Jiayu Ma2Zhenfei Wu3Di Wu3Zhao Li3Xiangyu Song2Jiajia Liu2,3 ( )Jiatao Zhang1,3 ( )
MIIT Key Laboratory of Medical Molecule Science and Pharmaceutical Engineering, MOE Key Laboratory of Cluster Science, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing 100081, China
School of Materials Science and Engineering, Beijing Institute of Technology, Beijing 100081, China
Beijing Institute of Technology, Zhuhai 519088, China
Show Author Information

Abstract

Quantum dots (QDs) are positioned to revolutionize point-of-care testing (POCT), with their exceptional brightness, photostability, and multiplexing capabilities being leveraged to enable real-time, in-situ detection with practical utility. In this review, recent advances in QD-based sensing are systematically summarized, with emphasis placed on how precise control over synthesis and surface functionalization across key material families (e.g., chalcogenide QDs) has facilitated the development of a versatile analytical toolkit. Diverse transduction mechanisms, including fluorescence, colorimetric, electrochemiluminescence, photoelectrochemical, and chemiresistive sensing, are explored, and their deployment across biomedical diagnostics, environmental surveillance, and food safety is highlighted. Moving beyond a mere summary of progress, this review focuses on addressing the critical challenges that currently hinder the practical translation of QD-based sensing technologies. Key issues include the biotoxicity of heavy-metal-containing QDs, their limitation in complex sample matrices, performance gaps in emerging “green” QDs, and hurdles in device integration and data analysis. A coordinated strategy is therefore proposed, centered on greenification, intellectualization, and integration. It is envisioned that through advances in biocompatible materials, integration with portable platforms such as microfluidics and smartphones, and the incorporation of machine learning for intelligent signal processing, QDs will be propelled from laboratory tools into foundational, democratized technologies for next-generation POCT. The strategic framework presented here provides a clear roadmap to guide future research and translation efforts in QD-POCT.

Graphical Abstract

Capitalizing on the exceptional and tunable optoelectronic properties of quantum dots, this review systematically examines performance modulation, including doping, core–shell structuring, and surface engineering. It elaborates on five primary sensing strategies, including fluorescence, electrochemiluminescence, colorimetric, photoelectrochemical, and chemiresistive sensing. Furthermore, the review highlights the integrated design of these components into rapid, portable, and on-site detection systems.

References

【1】
【1】
 
 
Nano Research
Article number: 94908412

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
He Z, Ma J, Wu Z, et al. Quantum dot-based POCT systems: From multiplexed detection to cross-domain applications. Nano Research, 2026, 19(4): 94908412. https://doi.org/10.26599/NR.2026.94908412
Topics:

1352

Views

192

Downloads

1

Crossref

0

Web of Science

1

Scopus

0

CSCD

Received: 28 November 2025
Revised: 05 January 2026
Accepted: 06 January 2026
Published: 10 April 2026
© The Author(s) 2026. Published by Tsinghua University Press.

This is an open access article under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0, https://creativecommons.org/licenses/by/4.0/).