Evidence map›Paper›PMID 41417649›Full record

ReviewAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Nanozymes Integrated Biochips Toward Smart Detection System.

Dongyu Chen, Wang Zheng, Zhihui Zhang, Shenping Yu, Xinxin Hang, Han Wu, Xiao-Wei Xiang, Wei Mu, Yanli Jiao, Zaizai Dong and 1 more

Abstract readReview
In one paragraph

Review in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

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

11 authors.

Dongyu ChenSchool of Engineering Medicine, Beihang University, Beijing, 100191, China.
Wang ZhengSchool of Engineering Medicine, Beihang University, Beijing, 100191, China.
Zhihui ZhangSchool of Engineering Medicine, Beihang University, Beijing, 100191, China.
Shenping YuSchool of Engineering Medicine, Beihang University, Beijing, 100191, China.
Xinxin HangSchool of Engineering Medicine, Beihang University, Beijing, 100191, China.
Han WuSchool of Engineering Medicine, Beihang University, Beijing, 100191, China.
Xiao-Wei XiangSchool of Engineering Medicine, Beihang University, Beijing, 100191, China.
Wei MuSchool of Engineering Medicine, Beihang University, Beijing, 100191, China.
Yanli JiaoDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong, 999077, China.
Zaizai DongSchool of Engineering Medicine, Beihang University, Beijing, 100191, China.
Lingqian ChangSchool of Engineering Medicine, Beihang University, Beijing, 100191, China.ORCID https://orcid.org/0000-0002-6329-9850

Funding

Fundamental Research Funds for the Central Universities JFK-2025067053421Fundamental Research Funds for the Central Universities JKF-20240574Fundamental Research Funds for the Central Universities JKF-2025059184410Fundamental Research Funds for the Central Universities JKF-2025071003351Fundamental Research Funds for the Central Universities JKF-2025082276817National Key R&D Program of China 2022YFB3205601National Key R&D Program of China 2022YFB3205602National Key R&D Program of China 2023YFC2415900National Natural Science Foundation of China 22304006National Natural Science Foundation of China 62471021National Natural Science Foundation of China T24B2006National Science Fund for Distinguished Young Scholars T2425021Natural Science Foundation of Shandong Province ZR2024QB014Natural Science Foundation of Shandong Province ZR2024QF010Natural Science Foundation of Shandong Province ZR2025QC680
6 · The paper itself

Abstract

Nanozyme integrated-biochip systems merge the robust catalytic properties of nanozymes with the portability capabilities of biochips, which have demonstrated significant potential for molecular identification and diagnostic applications. Benefiting from the progressive incorporation of artificial intelligence (AI), nanozyme-biochip systems further achieve substantial improvements in both efficiency and accuracy. In this review, recent progress in nanozyme-biochip systems for intelligent detection are summarized. Advancing from fundamental concepts to integrated systems, this overview examines nanozyme-driven signal amplification, biochip-mediated signal presentation, and AI-accelerated signal processing in nanozyme-biochip platforms. Furthermore, the translational potential of nanozyme-biochip systems is illustrated through a critical evaluation of their representative applications in clinical diagnostics, food safety, and environmental monitoring. The current major challenges and future directions in nanozyme-biochip systems are also analyzed, with particular emphasis on AI-assisted development. By integrating advances in nano-catalysis, microdevice engineering, and intelligent computation, this review aims to provide an interdisciplinary roadmap for next-generation biosensing systems.

Indexed as

Biosensing TechniquesNanostructuresNanotechnologyArtificial IntelligenceHumansartificial intelligencebiochipsmultimodal biosensingnanozymessmart detection

Identifiers

PMID41417649
PMCPMC12931267

What OpenQuestion holds

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Registered trials

None linked

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.