Evidence map›Paper›PMID 41660114›Full record

ArticleMaterials today. Bio2026

A multiscale quantum dots-based material platform for high-performance immunosensing of rhinitis biomarkers.

Jingqiu Chen, Hegeng Li, Yanbing Tao, Wenjian Zhang, Xinyi Chen, Yunong Zhao, Lanpeng Guo, Qing Huang, Jianjun Chen, Huan Liu

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Article in Materials today. Bio, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Jingqiu ChenSchool of Integrated Circuits, Huazhong University of Science and Technology, Wuhan, Hubei, PR China.
Hegeng LiSchool of Integrated Circuits, Huazhong University of Science and Technology, Wuhan, Hubei, PR China.
Yanbing TaoSchool of Integrated Circuits, Huazhong University of Science and Technology, Wuhan, Hubei, PR China.
Wenjian ZhangSchool of Integrated Circuits, Huazhong University of Science and Technology, Wuhan, Hubei, PR China.
Xinyi ChenSchool of Integrated Circuits, Huazhong University of Science and Technology, Wuhan, Hubei, PR China.
Yunong ZhaoSchool of Integrated Circuits, Huazhong University of Science and Technology, Wuhan, Hubei, PR China.
Lanpeng GuoSchool of Integrated Circuits, Huazhong University of Science and Technology, Wuhan, Hubei, PR China.
Qing HuangSchool of Integrated Circuits, Huazhong University of Science and Technology, Wuhan, Hubei, PR China.
Jianjun ChenDepartment of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China.
Huan LiuSchool of Integrated Circuits, Huazhong University of Science and Technology, Wuhan, Hubei, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rhinitis is a common chronic respiratory disease that severely affects patients' quality of life and may lead to serious complications, underscoring the need for rapid and portable diagnostic tools to support routine monitoring and clinical management. Here, we introduce a multiscale material platform based on colloidal quantum dots (CQDs) for the construction of electrochemical immunosensors enabling the rapid detection of eosinophil cationic protein (ECP) and neutrophil myeloperoxidase (MPO), two clinically relevant biomarkers of rhinitis. The platform leverages specific antigen-antibody recognition coupled with the electrical transduction properties of CQDs, resulting in significant improvement of detection sensitivity. To ensure translational applicability, we systematically examined key factors associated with real clinical samples, including hemolysis, storage duration, and preservation conditions in serum, and verified the method's reliability through spiked recovery experiments. More over, the immunosensor was successfully applied to the detection of ECP and MPO in patient-derived nasal secretion samples, exhibiting strong concordance with enzyme-linked immunosorbent assay (ELISA) results. Collectively, this work demonstrates that the CQD-based material platform offers a robust and clinically validated strategy for protein biomarker detection, and highlights its strong potential for home-based diagnostics, providing valuable support for the early diagnosis and management of rhinitis.

Indexed as

ECP/MPO detectionImmunosensorsMultiscale materialsQuantum dotsRhinitis diagnostic

Identifiers

PMID41660114
PMCPMC12874439

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.