Evidence map›Paper›PMID 40938438›Full record

ArticleMikrochimica acta2025

A multi-thionine DNA network-driven electrochemical aptasensor with dual signal amplification for ultrasensitive interleukin-6 detection.

Linru Bai, Benqi Chen, Yan Xu, Mingjia Liu, Yunhui Yang, Jianmei Yang, Rong Hu

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Article in Mikrochimica acta, 2025. 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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0citing papers in PubMed
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1 · What the graph read from it

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Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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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0 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Linru Bai *Yunnan Key Laboratory of Modern Separation Analysis and Substance Transformation, College of Chemistry and Chemical Engineering, Yunnan Normal University, Kunming, Yunnan, 650092, PR China.
Benqi Chen *Yunnan Key Laboratory of Modern Separation Analysis and Substance Transformation, College of Chemistry and Chemical Engineering, Yunnan Normal University, Kunming, Yunnan, 650092, PR China.
Yan XuYunnan Key Laboratory of Modern Separation Analysis and Substance Transformation, College of Chemistry and Chemical Engineering, Yunnan Normal University, Kunming, Yunnan, 650092, PR China.
Mingjia LiuYunnan Key Laboratory of Modern Separation Analysis and Substance Transformation, College of Chemistry and Chemical Engineering, Yunnan Normal University, Kunming, Yunnan, 650092, PR China.
Yunhui YangYunnan Key Laboratory of Modern Separation Analysis and Substance Transformation, College of Chemistry and Chemical Engineering, Yunnan Normal University, Kunming, Yunnan, 650092, PR China. yyhui2002@aliyun.com.
Jianmei YangYunnan Key Laboratory of Modern Separation Analysis and Substance Transformation, College of Chemistry and Chemical Engineering, Yunnan Normal University, Kunming, Yunnan, 650092, PR China. yangatynnu@163.com.
Rong HuYunnan Key Laboratory of Modern Separation Analysis and Substance Transformation, College of Chemistry and Chemical Engineering, Yunnan Normal University, Kunming, Yunnan, 650092, PR China. hudierong_168@163.com.

Funding

The National Natural Science Foundation of China and Natural Science Foundation of Yunnan Province 202401AT070114, 21605130 , 21864026,2016FD017 ,2018FB016
6 · The paper itself

Abstract

Au NPs@FGO@Fe MOG were sythesized for its inaugural application in biosensor development and engineered as a novel, highly efficient electrochemical aptasensor for the precise detection of interleukin-6 (IL-6). The aptasensor architecture integrates Au NPs@FGO@Fe MOG as the electrode interface and an anemone-like PtNi nanoclusters@MIL-anchored three-dimensional DNA (PD) network as the signal transduction matrix. The as-prepared Au NPs@FGO@Fe MOG exhibited an exceptionally high specific surface area, excellent electrical conductivity, and robust structural stability, collectively contributing to a pronounced enhancement in the performance of an electrochemical biosensor. The hierarchically PD network provided abundant binding sites for the redox-active probe thionine (Thi), thereby amplifying the electrochemical signal with remarkable efficiency. Under optimized conditions, the aptasensor achieved an impressive detection limit of 0.89 pg/mL. Moreover, the platform demonstrated reliable performance in detecting IL-6 in unspiked human serum samples, with results exhibiting high concordance with those obtained from commercial enzyme-linked immunosorbent assay (ELISA) kits. These findings demonstrate the considerable potential of this platform for rapid, sensitive, and accurate cytokine quantification, offering valuable prospects for clinical diagnostic applications.

Indexed as

Aptamers, NucleotideBiosensing TechniquesDNAElectrochemical TechniquesInterleukin-6PhenothiazinesElectrodesGoldHumansLimit of DetectionMetal NanoparticlesAptamers, NucleotideDNAGoldInterleukin-6Phenothiazinesthionine3D DNA networkAptasensorC-interleukin-6 (IL-6)FGO@Fe MOG nanoparticlesMetal–organic frameworks (MOFs)

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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.