Evidence map›Paper›PMID 41742896›Full record

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

Peroxidase-Mimicking Nanozymes for Rapid Detection of Infectious Diseases.

Shikuan Shao, Victor Fernandez-Gonzalez, Xiaochuan Wang, Blake Pylipow, Claudia Herrera, Xiaohu Xia

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Shikuan ShaoDepartment of Chemistry, University of Central Florida, Orlando, Florida, USA.ORCID https://orcid.org/0000-0003-0149-9942
Victor Fernandez-GonzalezDepartment of Chemistry, University of Central Florida, Orlando, Florida, USA.
Xiaochuan WangSchool of Social Work, College of Health Professions and Sciences, University of Central Florida, Orlando, Florida, USA.
Blake PylipowDepartment of Chemistry, University of Central Florida, Orlando, Florida, USA.
Claudia HerreraDepartment of Tropical Medicine and Infectious Disease, School of Public Health and Tropical Medicine, and Vector-Borne and Infectious Disease Research Center, Tulane University, New Orleans, Louisiana, USA.
Xiaohu XiaDepartment of Chemistry, University of Central Florida, Orlando, Florida, USA.ORCID https://orcid.org/0000-0002-6372-7712

Funding

Improving ELISA Technology using Ultra-efficient Peroxidase MimicsR01EB035519 · NIBIB · UNIVERSITY OF CENTRAL FLORIDA · PI Xiaohu Xia · 2024 to 2026
$825k
National Institute of Food and Agriculture 2024-67021-42829NIH HHS R01 EB035519
6 · The paper itself

Abstract

Infectious diseases pose a critical global health threat, and rapid and sensitive diagnostics are essential for effective intervention. Conventional methods are often slow, costly, and require centralized instrumentation and trained personnel, limiting timely decision-making. Peroxidase-mimicking nanozymes (PMNs) have emerged as powerful alternatives to natural peroxidases, enabling the development of rapid, sensitive, and robust diagnostic platforms. The superior performance of these platforms is rooted in the well-defined structural and compositional features of PMNs, which endow them with high peroxidase-like activity to catalyze substrate oxidation into easily detectable signals. Furthermore, the unique physicochemical properties of PMNs support the design of simplified workflows, miniaturized point-of-care devices, and novel sensing logics that are inaccessible to conventional protein enzymes. This review highlights structure-activity relationships guiding PMN design, synthetic strategies for constructing these nanozymes, their integration into biosensing platforms for infectious disease detection, and the role of artificial intelligence in PMN design and biosensing applications. By focusing on the interplay between PMN materials and sensing technologies, we illustrate how these systems advance rapid, sensitive, and cost-effective diagnostics. We also provide our perspective on the broader societal impact of PMN-enabled infectious disease diagnostics, along with the challenges and opportunities that shape their translation toward practical clinical use.

Indexed as

Biomimetic MaterialsBiosensing TechniquesCommunicable DiseasesNanostructuresPeroxidaseAnimalsHumansPeroxidasebiosensingcatalysisinfectious diseasenanozymeperoxidase

Identifiers

PMID41742896
PMCPMC13067771

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.