Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 700

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Antibiotic‐Free Antibacterial Strategies Enabled by Nanomaterials: Progress and Perspectives

Wang, Yue, Yang, Yannan, Shi, Yiru, Song, Hao, Yu, Chengzhong·2020·Advanced Materials

Abstract

Bacterial infection is one of the top ten leading causes of death globally and the worst killer in low‐income countries. The overuse of antibiotics leads to ever‐increasing antibiotic resistance, posing a severe threat to human health. Recent advances in nanotechnology provide new opportunities to address the challenges in bacterial infection by killing germs without using antibiotics. Antibiotic‐free antibacterial strategies enabled by advanced nanomaterials are presented. Nanomaterials are classified on the basis of their mode of action: nanomaterials with intrinsic or light‐mediated bactericidal properties and others that serve as vehicles for the delivery of natural antibacterial compounds. Specific attention is given to antibacterial mechanisms and the structure–performance relationship. Practical antibacterial applications employing these antibiotic‐free strategies are also introduced. Current challenges in this field and future perspectives are presented to stimulate new technologies and their translation to fight against bacterial infection.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/adma.201904106

Cites

9 of 9 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 9 references

Cited by

See all 700

Metadata

Authors
Wang, Y., Yang, Y., Shi, Y., Song, H., & Yu, C.
Venue
Advanced Materials
Publisher
Wiley
Published
2019-12-03
Volume
32
Issue
18
Pages
e1904106-e1904106
ISSN
  • 0935-9648 (ISSN-L)
  • 1521-4095
OpenAlex
W2991661281
Cited by
700
References
9
FWCI
23.19
Type
journal article
Language
en
Open access
closed

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Antibiotic‐Free Antibacterial Strategies Enabled by Nanomaterials: Progress and Perspectives. https://app.cochat.ai/papers/10.1002/adma.201904106
The paper
Wang, Y., Yang, Y., Shi, Y., Song, H., & Yu, C. (2020). Antibiotic‐Free Antibacterial Strategies Enabled by Nanomaterials: Progress and Perspectives. Advanced Materials. https://doi.org/10.1002/adma.201904106

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.