Nanozybiotics: advancing antimicrobial strategies through biomimetic mechanisms
Open accessAbstract
Infectious diseases caused by bacterial, viral, and fungal pathogens present significant global health challenges. The rapid emergence of antimicrobial resistance exacerbates this issue, leading to a scenario where effective antibiotics are increasingly scarce. Traditional antibiotic development strategies are proving inadequate against the swift evolution of microbial resistance. Therefore, there is an urgent need to develop novel antimicrobial strategies with mechanisms distinct from those of existing antibiotics. Nanozybiotics, which are nanozyme-based antimicrobials, mimic the catalytic action of lysosomal enzymes in innate immune cells to kill infectious pathogens. This review reinforces the concept of nanozymes and provides a comprehensive summary of recent research advancements on potential antimicrobial candidates. Initially, nanozybiotics are categorized based on their activities, mimicking either oxidoreductase-like or hydrolase-like functions, thereby highlighting their superior mechanisms in combating antimicrobial resistance. The review then discusses the progress of nanozybiotics in treating bacterial, viral, and fungal infections, confirming their potential as novel antimicrobial candidates. The translational potential of nanozybiotic-based products, including hydrogels, nanorobots, sprays, bandages, masks, and protective clothing, is also considered. Finally, the current challenges and future prospects of nanozybiotic-related products are explored, emphasizing the design and antimicrobial capabilities of nanozybiotics for future applications.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Acid-activatable metal-based nanozymes (e.g., Fe3O4) exhibit peroxidase-like activity within the acidic (pH 5.5-6.5), H2O2-rich microenvironment of infected bone.
“Among these, acid-activatable metal-based nanozymes (e.g., Fe3O4) hold particular promise, exhibiting peroxidase-like activity within the acidic (pH 5.5–6.5), H2O2-rich microenvironment of infected bone [[12], [13], [14]].”
From Nanocatalytic magnesium osteoimplants with biodegradable self-adaptive interfaces for therapeutic repair of infected bone defects (2026) · cites this paper as [12]
The citation lists haven’t been fetched yet
References 292 · Cited by 114
- Authors
- Zhou, C., Wang, Q., Cao, H., Jiang, J., & Gao, L.
- Affiliations
- Chinese Academy of Sciences (CN)
- Corresponding author
- Gao, Lizeng
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2024-06-26
- Volume
- 36
- Issue
- 33
- Pages
- e2403362-e2403362
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W4399671130
- Cited by
- 114
- References
- 292
- Citations by year
- 2026: 55 · 2025: 54 · 2024: 5
- FWCI
- 2.72
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Advanced Materials (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- National Natural Science Foundation of China (22121003, 81930050, T2342006, L2324225)
- National Key Research and Development Program of China (2019YFA0709200)
- Topics
- Physical Sciences › Materials Science › Materials Chemistry › Advanced Nanomaterials in Catalysis
- Physical Sciences › Materials Science › Materials Chemistry › Nanoparticles: synthesis and applications
- Physical Sciences › Chemistry › Organic Chemistry › Antimicrobial agents and applications
- Keywords
- nanozymes, antimicrobial resistance, biomimetic catalysis, lysosomal enzymes, bacterial infection, viral infection, fungal infection, hydrogels, nanorobots, antimicrobial textiles, nanomedicine
- MeSH terms
- Animals, Anti-Infective Agents, Anti-Bacterial Agents, Humans, Biomimetics, Biomimetic Materials, Nanostructures, Nanoparticles
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review